Introduction of geodatasets

The geodatasets contains an API on top of a JSON with metadata of externally hosted datasets containing geospatial information useful for illustrative and educational purposes.

import geodatasets

What is the geodatasets.data object?

The geodatasets.data objects are stored as dictionaries (with attribute access for easy access), so we can explore them in Python (or using tab completion in an interactive session or as a collapsible inventory in Jupyter!):

geodatasets.data
geodatasets.Bunch
6 items
  • geodatasets.Bunch
    53 items
    • geodatasets.Dataset
      geoda.airbnb
      url
      https://geodacenter.github.io/data-and-lab//data/airbnb.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      Airbnb rentals, socioeconomics, and crime in Chicago
      geometry_type
      Polygon
      nrows
      77
      ncols
      21
      details
      https://geodacenter.github.io/data-and-lab//airbnb/
      hash
      a2ab1e3f938226d287dd76cde18c00e2d3a260640dd826da7131827d9e76c824
      filename
      airbnb.zip
    • geodatasets.Dataset
      geoda.atlanta
      url
      https://geodacenter.github.io/data-and-lab//data/atlanta_hom.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      Atlanta, GA region homicide counts and rates
      geometry_type
      Polygon
      nrows
      90
      ncols
      24
      details
      https://geodacenter.github.io/data-and-lab//atlanta_old/
      hash
      a33a76e12168fe84361e60c88a9df4856730487305846c559715c89b1a2b5e09
      filename
      atlanta_hom.zip
      members
      ['atlanta_hom/atl_hom.geojson']
    • geodatasets.Dataset
      geoda.cars
      url
      https://geodacenter.github.io/data-and-lab//data/Abandoned_Vehicles_Map.csv
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      2011 abandoned vehicles in Chicago (311 complaints).
      geometry_type
      Point
      nrows
      137867
      ncols
      21
      details
      https://geodacenter.github.io/data-and-lab//1-source-and-description/
      hash
      6a0b23bc7eda2dcf1af02d43ccf506b24ca8d8c6dc2fe86a2a1cc051b03aae9e
      filename
      Abandoned_Vehicles_Map.csv
    • geodatasets.Dataset
      geoda.charleston1
      url
      https://geodacenter.github.io/data-and-lab//data/CharlestonMSA.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      2000 Census Tract Data for Charleston, SC MSA and counties
      geometry_type
      Polygon
      nrows
      117
      ncols
      31
      details
      https://geodacenter.github.io/data-and-lab//charleston-1_old/
      hash
      4a4fa9c8dd4231ae0b2f12f24895b8336bcab0c28c48653a967cffe011f63a7c
      filename
      CharlestonMSA.zip
      members
      ['CharlestonMSA/sc_final_census2.gpkg']
    • geodatasets.Dataset
      geoda.charleston2
      url
      https://geodacenter.github.io/data-and-lab//data/CharlestonMSA2.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      1998 and 2001 Zip Code Business Patterns (Census Bureau) for Charleston, SC MSA
      geometry_type
      Polygon
      nrows
      42
      ncols
      60
      details
      https://geodacenter.github.io/data-and-lab//charleston2/
      hash
      056d5d6e236b5bd95f5aee26c77bbe7d61bd07db5aaf72866c2f545205c1d8d7
      filename
      CharlestonMSA2.zip
      members
      ['CharlestonMSA2/CharlestonMSA2.gpkg']
    • geodatasets.Dataset
      geoda.chicago_health
      url
      https://geodacenter.github.io/data-and-lab//data/comarea.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      Chicago Health + Socio-Economics
      geometry_type
      Polygon
      nrows
      77
      ncols
      87
      details
      https://geodacenter.github.io/data-and-lab//comarea_vars/
      hash
      4e872adb552786eae2fcd745524696e5e4cd33cc9a6c032471c0e75328871401
      filename
      comarea.zip
    • geodatasets.Dataset
      geoda.chicago_commpop
      url
      https://geodacenter.github.io/data-and-lab//data/chicago_commpop.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      Chicago Community Area Population Percent Change for 2000 and 2010
      geometry_type
      Polygon
      nrows
      77
      ncols
      9
      details
      https://geodacenter.github.io/data-and-lab//commpop/
      hash
      1dbebb50c8ea47e2279ea819ef64ba793bdee2b88e4716bd6c6ec0e0d8e0e05b
      filename
      chicago_commpop.zip
      members
      ['chicago_commpop/chicago_commpop.geojson']
    • geodatasets.Dataset
      geoda.chile_labor
      url
      https://geodacenter.github.io/data-and-lab//data/flma.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      Labor Markets in Chile (1982-2002)
      geometry_type
      Polygon
      nrows
      64
      ncols
      140
      details
      https://geodacenter.github.io/data-and-lab//FLMA/
      hash
      4777072268d0127b3d0be774f51d0f66c15885e9d3c92bc72c641a72f220796c
      filename
      flma.zip
      members
      ['flma/FLMA.geojson']
    • geodatasets.Dataset
      geoda.cincinnati
      url
      https://geodacenter.github.io/data-and-lab//data/walnuthills_updated.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      2008 Cincinnati Crime + Socio-Demographics
      geometry_type
      Polygon
      nrows
      457
      ncols
      73
      details
      https://geodacenter.github.io/data-and-lab//walnut_hills/
      hash
      d6871dd688bd14cf4710a218d721d34f6574456f2a14d5c5cfe5a92054ee9763
      filename
      walnuthills_updated.zip
      members
      ['walnuthills_updated']
    • geodatasets.Dataset
      geoda.cleveland
      url
      https://geodacenter.github.io/data-and-lab//data/cleveland.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      2015 sales prices of homes in Cleveland, OH.
      geometry_type
      Point
      nrows
      205
      ncols
      10
      details
      https://geodacenter.github.io/data-and-lab//clev_sls_154_core/
      hash
      49aeba03eb06bf9b0d9cddd6507eb4a226b7c7a7561145562885c5cddfaeaadf
      filename
      cleveland.zip
    • geodatasets.Dataset
      geoda.grid100
      url
      https://geodacenter.github.io/data-and-lab//data/grid100.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      Grid with simulated variables
      geometry_type
      Polygon
      nrows
      100
      ncols
      37
      details
      https://geodacenter.github.io/data-and-lab//grid100/
      hash
      5702ba39606044f71d53ae6a83758b81332bd3aa216b7b7b6e1c60dd0e72f476
      filename
      grid100.zip
      members
      ['grid100/grid100s.gpkg']
    • geodatasets.Dataset
      geoda.groceries
      url
      https://geodacenter.github.io/data-and-lab//data/grocery.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      2015 Chicago supermarkets
      geometry_type
      Point
      nrows
      148
      ncols
      8
      details
      https://geodacenter.github.io/data-and-lab//chicago_sup_vars/
      hash
      ead10e53b21efcaa29b798428b93ba2a1c0ba1b28f046265c1737712fa83f88a
      filename
      grocery.zip
      members
      ['grocery/chicago_sup.shp', 'grocery/chicago_sup.dbf', 'grocery/chicago_sup.shx', 'grocery/chicago_sup.prj']
    • geodatasets.Dataset
      geoda.guerry
      url
      https://geodacenter.github.io/data-and-lab//data/guerry.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      Mortal statistics of France (Guerry, 1833)
      geometry_type
      Polygon
      nrows
      85
      ncols
      24
      details
      https://geodacenter.github.io/data-and-lab//Guerry/
      hash
      80d2b355ad3340fcffa0a28e5cec0698af01067f8059b1a60388d200a653b3e8
      filename
      guerry.zip
      members
      ['guerry/guerry.shp', 'guerry/guerry.dbf', 'guerry/guerry.shx', 'guerry/guerry.prj']
    • geodatasets.Dataset
      geoda.health
      url
      https://geodacenter.github.io/data-and-lab//data/income_diversity.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      2000 Health, Income + Diversity
      geometry_type
      Polygon
      nrows
      3984
      ncols
      65
      details
      https://geodacenter.github.io/data-and-lab//co_income_diversity_variables/
      hash
      eafee1063040258bc080e7b501bdf1438d6e45ba208954d8c2e1a7562142d0a7
      filename
      income_diversity.zip
      members
      ['income_diversity/income_diversity.shp', 'income_diversity/income_diversity.dbf', 'income_diversity/income_diversity.shx', 'income_diversity/income_diversity.prj']
    • geodatasets.Dataset
      geoda.health_indicators
      url
      https://geodacenter.github.io/data-and-lab//data/healthIndicators.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      Chicago Health Indicators (2005-11)
      geometry_type
      Polygon
      nrows
      77
      ncols
      32
      details
      https://geodacenter.github.io/data-and-lab//healthindicators-variables/
      hash
      b43683245f8fc3b4ab69ffa75d2064920a1a91dc76b9dcc08e288765ba0c94f3
      filename
      healthIndicators.zip
    • geodatasets.Dataset
      geoda.hickory1
      url
      https://geodacenter.github.io/data-and-lab//data/HickoryMSA.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      2000 Census Tract Data for Hickory, NC MSA and counties
      geometry_type
      Polygon
      nrows
      68
      ncols
      31
      details
      https://geodacenter.github.io/data-and-lab//hickory1/
      hash
      4c0804608d303e6e44d51966bb8927b1f5f9e060a9b91055a66478b9039d2b44
      filename
      HickoryMSA.zip
      members
      ['HickoryMSA/nc_final_census2.geojson']
    • geodatasets.Dataset
      geoda.hickory2
      url
      https://geodacenter.github.io/data-and-lab//data/HickoryMSA2.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      1998 and 2001 Zip Code Business Patterns (Census Bureau) for Hickory, NC MSA
      geometry_type
      Polygon
      nrows
      29
      ncols
      56
      details
      https://geodacenter.github.io/data-and-lab//hickory2/
      hash
      5e9498e1ff036297c3eea3cc42ac31501680a43b50c71b486799ef9021679d07
      filename
      HickoryMSA2.zip
      members
      ['HickoryMSA2/HickoryMSA2.geojson']
    • geodatasets.Dataset
      geoda.home_sales
      url
      https://geodacenter.github.io/data-and-lab//data/kingcounty.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      2014-15 Home Sales in King County, WA
      geometry_type
      Point
      nrows
      21613
      ncols
      22
      details
      https://geodacenter.github.io/data-and-lab//KingCounty-HouseSales2015/
      hash
      b979f0eb2cef6ebd2c761d552821353f795635eb8db53a95f2815fc46e1f644c
      filename
      kingcounty.zip
      members
      ['kingcounty/kc_house.shp', 'kingcounty/kc_house.dbf', 'kingcounty/kc_house.shx', 'kingcounty/kc_house.prj']
    • geodatasets.Dataset
      geoda.houston
      url
      https://geodacenter.github.io/data-and-lab//data/houston_hom.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      Houston, TX region homicide counts and rates
      geometry_type
      Polygon
      nrows
      52
      ncols
      24
      details
      https://geodacenter.github.io/data-and-lab//houston/
      hash
      d3167fd150a1369d9a32b892d3b2a8747043d3d382c3dd81e51f696b191d0d15
      filename
      houston_hom.zip
      members
      ['houston_hom/hou_hom.geojson']
    • geodatasets.Dataset
      geoda.juvenile
      url
      https://geodacenter.github.io/data-and-lab//data/juvenile.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      Cardiff juvenile delinquent residences
      geometry_type
      Point
      nrows
      168
      ncols
      4
      details
      https://geodacenter.github.io/data-and-lab//juvenile/
      hash
      811cfcfa613578214d907bfbdd396c6e02261e5cda6d56b25a6f961148de961c
      filename
      juvenile.zip
      members
      ['juvenile/juvenile.shp', 'juvenile/juvenile.shx', 'juvenile/juvenile.dbf']
    • geodatasets.Dataset
      geoda.lansing1
      url
      https://geodacenter.github.io/data-and-lab//data/LansingMSA.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      2000 Census Tract Data for Lansing, MI MSA and counties
      geometry_type
      Polygon
      nrows
      117
      ncols
      31
      details
      https://geodacenter.github.io/data-and-lab//lansing1/
      hash
      724ce3d889fa50e7632d16200cf588d40168d49adaf5bca45049dc1b3758bde1
      filename
      LansingMSA.zip
      members
      ['LansingMSA/mi_final_census2.geojson']
    • geodatasets.Dataset
      geoda.lansing2
      url
      https://geodacenter.github.io/data-and-lab//data/LansingMSA2.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      1998 and 2001 Zip Code Business Patterns (Census Bureau) for Lansing, MI MSA
      geometry_type
      Polygon
      nrows
      46
      ncols
      56
      details
      https://geodacenter.github.io/data-and-lab//lansing2/
      hash
      7657c05d3bd6090c4d5914cfe5aaf01f694601c1e0c29bc3ecbe9bc523662303
      filename
      LansingMSA2.zip
      members
      ['LansingMSA2/LansingMSA2.geojson']
    • geodatasets.Dataset
      geoda.lasrosas
      url
      https://geodacenter.github.io/data-and-lab//data/lasrosas.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      Corn yield, fertilizer and field data for precision agriculture, Argentina, 1999
      geometry_type
      Polygon
      nrows
      1738
      ncols
      35
      details
      https://geodacenter.github.io/data-and-lab//lasrosas/
      hash
      038d0e82203f2875b50499dbd8498ca9c762ebd8003b2f2203ebc6acada8f8fd
      filename
      lasrosas.zip
      members
      ['lasrosas/rosas1999.gpkg']
    • geodatasets.Dataset
      geoda.liquor_stores
      url
      https://geodacenter.github.io/data-and-lab//data/liquor.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      2015 Chicago Liquor Stores
      geometry_type
      Point
      nrows
      571
      ncols
      3
      details
      https://geodacenter.github.io/data-and-lab//liq_chicago/
      hash
      6a483a6a7066a000bc97bfe71596cf28834d3088fbc958455b903a0938b3b530
      filename
      liquor.zip
      members
      ['liq_Chicago.shp', 'liq_Chicago.dbf', 'liq_Chicago.shx', 'liq_Chicago.prj']
    • geodatasets.Dataset
      geoda.malaria
      url
      https://geodacenter.github.io/data-and-lab//data/malariacolomb.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      Malaria incidence and population (1973, 95, 93 censuses and projections until 2005)
      geometry_type
      Polygon
      nrows
      1068
      ncols
      51
      details
      https://geodacenter.github.io/data-and-lab//colomb_malaria/
      hash
      ca77477656829833a4e3e384b02439632fa28bb577610fe5aef9e0b094c41a95
      filename
      malariacolomb.zip
      members
      ['malariacolomb/colmunic.gpkg']
    • geodatasets.Dataset
      geoda.milwaukee1
      url
      https://geodacenter.github.io/data-and-lab//data/MilwaukeeMSA.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      2000 Census Tract Data for Milwaukee, WI MSA
      geometry_type
      Polygon
      nrows
      417
      ncols
      35
      details
      https://geodacenter.github.io/data-and-lab//milwaukee1/
      hash
      bf3c9617c872db26ea56f20e82a449f18bb04d8fb76a653a2d3842d465bc122c
      filename
      MilwaukeeMSA.zip
      members
      ['MilwaukeeMSA/wi_final_census2_random4.gpkg']
    • geodatasets.Dataset
      geoda.milwaukee2
      url
      https://geodacenter.github.io/data-and-lab//data/MilwaukeeMSA2.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      1998 and 2001 Zip Code Business Patterns (Census Bureau) for Milwaukee, WI MSA
      geometry_type
      Polygon
      nrows
      83
      ncols
      60
      details
      https://geodacenter.github.io/data-and-lab//milwaukee2/
      hash
      7f74212d63addb9ab84fac9447ee898498c8fafc284edcffe1f1ac79c2175d60
      filename
      MilwaukeeMSA2.zip
      members
      ['MilwaukeeMSA2/MilwaukeeMSA2.gpkg']
    • geodatasets.Dataset
      geoda.ncovr
      url
      https://geodacenter.github.io/data-and-lab//data/ncovr.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      US county homicides 1960-1990
      geometry_type
      Polygon
      nrows
      3085
      ncols
      70
      details
      https://geodacenter.github.io/data-and-lab//ncovr/
      hash
      e8cb04e6da634c6cd21808bd8cfe4dad6e295b22e8d40cc628e666887719cfe9
      filename
      ncovr.zip
      members
      ['ncovr/NAT.gpkg']
    • geodatasets.Dataset
      geoda.natregimes
      url
      https://geodacenter.github.io/data-and-lab//data/natregimes.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      NCOVR with regimes (book/PySAL)
      geometry_type
      Polygon
      nrows
      3085
      ncols
      74
      details
      https://geodacenter.github.io/data-and-lab//natregimes/
      hash
      431d0d95ffa000692da9319e6bd28701b1156f7b8e716d4bfcd1e09b6e357918
      filename
      natregimes.zip
    • geodatasets.Dataset
      geoda.ndvi
      url
      https://geodacenter.github.io/data-and-lab//data/ndvi.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      Normalized Difference Vegetation Index grid
      geometry_type
      Polygon
      nrows
      49
      ncols
      8
      details
      https://geodacenter.github.io/data-and-lab//ndvi/
      hash
      a89459e50a4495c24ead1d284930467ed10eb94829de16a693a9fa89dea2fe22
      filename
      ndvi.zip
      members
      ['ndvi/ndvigrid.gpkg']
    • geodatasets.Dataset
      geoda.nepal
      url
      https://geodacenter.github.io/data-and-lab//data/nepal.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      Health, poverty and education indicators for Nepal districts
      geometry_type
      Polygon
      nrows
      75
      ncols
      62
      details
      https://geodacenter.github.io/data-and-lab//nepal/
      hash
      d7916568fe49ff258d0f03ac115e68f64cdac572a9fd2b29de2d70554ac2b20d
      filename
      nepal.zip
    • geodatasets.Dataset
      geoda.nyc
      url
      https://geodacenter.github.io/data-and-lab///data/nyc.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      Demographic and housing data for New York City subboroughs, 2002-09
      geometry_type
      Polygon
      nrows
      55
      ncols
      35
      details
      https://geodacenter.github.io/data-and-lab//nyc/
      hash
      a67dff2f9e6da9e11737e6be5a16e1bc33954e2c954332d68bcbf6ff7203702b
      filename
      nyc.zip
    • geodatasets.Dataset
      geoda.nyc_earnings
      url
      https://geodacenter.github.io/data-and-lab//data/lehd.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      Block-level Earnings in NYC (2002-14)
      geometry_type
      Polygon
      nrows
      108487
      ncols
      71
      details
      https://geodacenter.github.io/data-and-lab//LEHD_Data/
      hash
      771fe11e59a16d4c15c6471d9a81df5e9c9bda5ef0a207e77d8ff21b2c16891b
      filename
      lehd.zip
    • geodatasets.Dataset
      geoda.nyc_education
      url
      https://geodacenter.github.io/data-and-lab//data/nyc_2000Census.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      NYC Education (2000)
      geometry_type
      Polygon
      nrows
      2216
      ncols
      57
      details
      https://geodacenter.github.io/data-and-lab//NYC-Census-2000/
      hash
      ecdf342654415107911291a8076c1685bd2c8a08d8eaed3ce9c3e9401ef714f2
      filename
      nyc_2000Census.zip
    • geodatasets.Dataset
      geoda.nyc_neighborhoods
      url
      https://geodacenter.github.io/data-and-lab//data/nycnhood_acs.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      Demographics for New York City neighborhoods
      geometry_type
      Polygon
      nrows
      195
      ncols
      99
      details
      https://geodacenter.github.io/data-and-lab//NYC-Nhood-ACS-2008-12/
      hash
      aeb75fc5c95fae1088093827fca69928cee3ad27039441bb35c03013d2ee403f
      filename
      nycnhood_acs.zip
    • geodatasets.Dataset
      geoda.orlando1
      url
      https://geodacenter.github.io/data-and-lab//data/OrlandoMSA.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      2000 Census Tract Data for Orlando, FL MSA and counties
      geometry_type
      Polygon
      nrows
      328
      ncols
      31
      details
      https://geodacenter.github.io/data-and-lab//orlando1/
      hash
      e98ea5b9ffaf3e421ed437f665c739d1e92d9908e2b121c75ac02ecf7de2e254
      filename
      OrlandoMSA.zip
      members
      ['OrlandoMSA/orlando_final_census2.gpkg']
    • geodatasets.Dataset
      geoda.orlando2
      url
      https://geodacenter.github.io/data-and-lab//data/OrlandoMSA2.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      1998 and 2001 Zip Code Business Patterns (Census Bureau) for Orlando, FL MSA
      geometry_type
      Polygon
      nrows
      94
      ncols
      60
      details
      https://geodacenter.github.io/data-and-lab//orlando2/
      hash
      4cd8c3469cb7edea5f0fb615026192e12b1d4b50c22b28345adf476bc85d0f03
      filename
      OrlandoMSA2.zip
      members
      ['OrlandoMSA2/OrlandoMSA2.gpkg']
    • geodatasets.Dataset
      geoda.oz9799
      url
      https://geodacenter.github.io/data-and-lab//data/oz9799.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      Monthly ozone data, 1997-99
      geometry_type
      Point
      nrows
      30
      ncols
      78
      details
      https://geodacenter.github.io/data-and-lab//oz96/
      hash
      1ecc7c46f5f42af6057dedc1b73f56b576cb9716d2c08d23cba98f639dfddb82
      filename
      oz9799.zip
      members
      ['oz9799/oz9799.csv']
    • geodatasets.Dataset
      geoda.phoenix_acs
      url
      https://geodacenter.github.io/data-and-lab//data/phx2.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      Phoenix American Community Survey Data (2010, 5-year averages)
      geometry_type
      Polygon
      nrows
      985
      ncols
      18
      details
      https://geodacenter.github.io/data-and-lab//phx/
      hash
      b2f6e196bacb6f3fe1fc909af482e7e75b83d1f8363fc73038286364c13334ee
      filename
      phx2.zip
      members
      ['phx/phx.gpkg']
    • geodatasets.Dataset
      geoda.police
      url
      https://geodacenter.github.io/data-and-lab//data/police.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      Police expenditures Mississippi counties
      geometry_type
      Polygon
      nrows
      82
      ncols
      22
      details
      https://geodacenter.github.io/data-and-lab//police/
      hash
      596270d62dea8207001da84883ac265591e5de053f981c7491e7b5c738e9e9ff
      filename
      police.zip
      members
      ['police/police.gpkg']
    • geodatasets.Dataset
      geoda.sacramento1
      url
      https://geodacenter.github.io/data-and-lab//data/sacramento.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      2000 Census Tract Data for Sacramento MSA
      geometry_type
      Polygon
      nrows
      403
      ncols
      32
      details
      https://geodacenter.github.io/data-and-lab//sacramento1/
      hash
      72ddeb533cf2917dc1f458add7c6042b93c79b31316ae2d22f1c855a9da275f9
      filename
      sacramento.zip
      members
      ['sacramento/sacramentot2.gpkg']
    • geodatasets.Dataset
      geoda.sacramento2
      url
      https://geodacenter.github.io/data-and-lab//data/SacramentoMSA2.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      1998 and 2001 Zip Code Business Patterns (Census Bureau) for Sacramento MSA
      geometry_type
      Polygon
      nrows
      125
      ncols
      59
      details
      https://geodacenter.github.io/data-and-lab//sacramento2/
      hash
      3f6899efd371804ea8bfaf3cdfd3ed4753ea4d009fed38a57c5bbf442ab9468b
      filename
      SacramentoMSA2.zip
      members
      ['SacramentoMSA2/SacramentoMSA2.gpkg']
    • geodatasets.Dataset
      geoda.savannah1
      url
      https://geodacenter.github.io/data-and-lab//data/SavannahMSA.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      2000 Census Tract Data for Savannah, GA MSA and counties
      geometry_type
      Polygon
      nrows
      77
      ncols
      31
      details
      https://geodacenter.github.io/data-and-lab//savannah1/
      hash
      df48c228776d2122c38935b2ebbf4cbb90c0bacc68df01161e653aab960e4208
      filename
      SavannahMSA.zip
      members
      ['SavannahMSA/ga_final_census2.gpkg']
    • geodatasets.Dataset
      geoda.savannah2
      url
      https://geodacenter.github.io/data-and-lab//data/SavannahMSA2.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      1998 and 2001 Zip Code Business Patterns (Census Bureau) for Savannah, GA MSA
      geometry_type
      Polygon
      nrows
      24
      ncols
      60
      details
      https://geodacenter.github.io/data-and-lab//savannah2/
      hash
      5b22b84a8665434cb91e800a039337f028b888082b8ef7a26d77eb6cc9aea8c1
      filename
      SavannahMSA2.zip
      members
      ['SavannahMSA2/SavannahMSA2.gpkg']
    • geodatasets.Dataset
      geoda.seattle1
      url
      https://geodacenter.github.io/data-and-lab//data/SeattleMSA.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      2000 Census Tract Data for Seattle, WA MSA and counties
      geometry_type
      Polygon
      nrows
      664
      ncols
      31
      details
      https://geodacenter.github.io/data-and-lab//seattle1/
      hash
      46fb75a30f0e7963e6108bdb19af4d7db4c72c3d5a020025cafa528c96e09daa
      filename
      SeattleMSA.zip
      members
      ['SeattleMSA/wa_final_census2.gpkg']
    • geodatasets.Dataset
      geoda.seattle2
      url
      https://geodacenter.github.io/data-and-lab//data/SeattleMSA2.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      1998 and 2001 Zip Code Business Patterns (Census Bureau) for Seattle, WA MSA
      geometry_type
      Polygon
      nrows
      145
      ncols
      60
      details
      https://geodacenter.github.io/data-and-lab//seattle2/
      hash
      3dac2fa5b8c8dfa9dd5273a85de7281e06e18ab4f197925607f815f4e44e4d0c
      filename
      SeattleMSA2.zip
      members
      ['SeattleMSA2/SeattleMSA2.gpkg']
    • geodatasets.Dataset
      geoda.sids
      url
      https://geodacenter.github.io/data-and-lab//data/sids.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      North Carolina county SIDS death counts
      geometry_type
      Polygon
      nrows
      100
      ncols
      15
      details
      https://geodacenter.github.io/data-and-lab//sids/
      hash
      e2f7b210b9a57839423fd170e47c02cf7a2602a480a1036bb0324e1112a4eaab
      filename
      sids.zip
      members
      ['sids/sids.gpkg']
    • geodatasets.Dataset
      geoda.sids2
      url
      https://geodacenter.github.io/data-and-lab//data/sids2.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      North Carolina county SIDS death counts and rates
      geometry_type
      Polygon
      nrows
      100
      ncols
      19
      details
      https://geodacenter.github.io/data-and-lab//sids2/
      hash
      b5875ffbdb261e6fa75dc4580d67111ef1434203f2d6a5d63ffac16db3a14bd0
      filename
      sids2.zip
      members
      ['sids2/sids2.gpkg']
    • geodatasets.Dataset
      geoda.south
      url
      https://geodacenter.github.io/data-and-lab//data/south.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      US Southern county homicides 1960-1990
      geometry_type
      Polygon
      nrows
      1412
      ncols
      70
      details
      https://geodacenter.github.io/data-and-lab//south/
      hash
      8f151d99c643b187aad37cfb5c3212353e1bc82804a4399a63de369490e56a7a
      filename
      south.zip
      members
      ['south/south.gpkg']
    • geodatasets.Dataset
      geoda.spirals
      url
      https://geodacenter.github.io/data-and-lab//data/spirals.csv
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      Synthetic spiral points
      geometry_type
      Point
      nrows
      300
      ncols
      2
      details
      https://geodacenter.github.io/data-and-lab//spirals/
      hash
      3203b0a6db37c1207b0f1727c980814f541ce0a222597475f9c91540b1d372f1
      filename
      spirals.csv
    • geodatasets.Dataset
      geoda.stlouis
      url
      https://geodacenter.github.io/data-and-lab//data/stlouis.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      St Louis region county homicide counts and rates
      geometry_type
      Polygon
      nrows
      78
      ncols
      24
      details
      https://geodacenter.github.io/data-and-lab//stlouis/
      hash
      181a17a12e9a2b2bfc9013f399e149da935e0d5cb95c3595128f67898c4365f3
      filename
      stlouis.zip
    • geodatasets.Dataset
      geoda.tampa1
      url
      https://geodacenter.github.io/data-and-lab//data/TampaMSA.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      2000 Census Tract Data for Tampa, FL MSA and counties
      geometry_type
      Polygon
      nrows
      547
      ncols
      31
      details
      https://geodacenter.github.io/data-and-lab//tampa1/
      hash
      9a7ea0746138f62aa589e8377edafea48a7b1be0cdca2b38798ba21665bfb463
      filename
      TampaMSA.zip
      members
      ['TampaMSA/tampa_final_census2.gpkg']
    • geodatasets.Dataset
      geoda.us_sdoh
      url
      https://geodacenter.github.io/data-and-lab//data/us-sdoh-2014.zip
      license
      NA
      attribution
      Center for Spatial Data Science, University of Chicago
      description
      2014 US Social Determinants of Health Data
      geometry_type
      Polygon
      nrows
      71901
      ncols
      26
      details
      https://geodacenter.github.io/data-and-lab//us-sdoh/
      hash
      076701725c4b67248f79c8b8a40e74f9ad9e194d3237e1858b3d20176a6562a5
      filename
      us-sdoh-2014.zip
      members
      ['us-sdoh-2014/us-sdoh-2014.shp', 'us-sdoh-2014/us-sdoh-2014.dbf', 'us-sdoh-2014/us-sdoh-2014.shx', 'us-sdoh-2014/us-sdoh-2014.prj']
  • geodatasets.Bunch
    1 items
    • geodatasets.Dataset
      ny.bb
      url
      https://www.nyc.gov/assets/planning/download/zip/data-maps/open-data/nybb_16a.zip
      license
      NA
      attribution
      Department of City Planning (DCP)
      description
      The borough boundaries of New York City clipped to the shoreline at mean high tide for 2016.
      geometry_type
      Polygon
      details
      https://data.cityofnewyork.us/City-Government/Borough-Boundaries/tqmj-j8zm
      nrows
      5
      ncols
      5
      hash
      a303be17630990455eb079777a6b31980549e9096d66d41ce0110761a7e2f92a
      filename
      nybb_16a.zip
      members
      ['nybb_16a/nybb.shp', 'nybb_16a/nybb.shx', 'nybb_16a/nybb.dbf', 'nybb_16a/nybb.prj']
  • geodatasets.Bunch
    1 items
    • geodatasets.Dataset
      eea.large_rivers
      url
      https://www.eea.europa.eu/data-and-maps/data/wise-large-rivers-and-large-lakes/zipped-shapefile-with-wise-large-rivers-vector-line/zipped-shapefile-with-wise-large-rivers-vector-line/at_download/file
      license
      ODC-by
      attribution
      European Environmental Agency
      description
      Large rivers in Europe that have a catchment area large than 50,000 km2.
      geometry_type
      LineString
      details
      https://www.eea.europa.eu/data-and-maps/data/wise-large-rivers-and-large-lakes
      nrows
      20
      ncols
      3
      hash
      97b37b781cba30c2292122ba2bdfe2e156a791cefbdfedf611c8473facc6be50
      filename
      wise_large_rivers.zip
  • geodatasets.Bunch
    2 items
    • geodatasets.Dataset
      abs.australia
      url
      https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/access-and-downloads/digital-boundary-files/AUS_2021_AUST_SHP_GDA2020.zip
      license
      CC BY 4.0
      attribution
      Australian Bureau of Statistics (ABS)
      description
      Australia land polygon including Norfolk Island, the Territory of Christmas Island, and the Territory of Cocos (Keeling) Islands.
      geometry_type
      Polygon
      nrows
      2
      ncols
      7
      details
      https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/access-and-downloads/digital-boundary-files
      hash
      086752a6b0b3978247be201f02e02cd4e3c4f36d4f4ca74802e6831083b67129
      filename
      AUS_2021_AUST_SHP_GDA2020.zip
    • geodatasets.Dataset
      abs.australia_states_territories
      url
      https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/access-and-downloads/digital-boundary-files/STE_2021_AUST_SHP_GDA2020.zip
      license
      CC BY 4.0
      attribution
      Australian Bureau of Statistics (ABS)
      description
      Australian state and territory boundaries.
      geometry_type
      Polygon
      nrows
      10
      ncols
      9
      details
      https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/access-and-downloads/digital-boundary-files
      hash
      d9b7f735de6085b37414faf011f796dda3c7f768c55e9dce01f96e790f399a21
      filename
      STE_2021_AUST_SHP_GDA2020.zip
  • geodatasets.Bunch
    3 items
    • geodatasets.Dataset
      naturalearth.cities
      url
      https://naciscdn.org/naturalearth/110m/cultural/ne_110m_populated_places_simple.zip
      license
      CC0
      attribution
      Natural Earth
      description
      Point symbols with name attributes of all admin-0 capitals and some other major cities.
      geometry_type
      Point
      details
      https://www.naturalearthdata.com/downloads/110m-cultural-vectors/110m-populated-places/
      nrows
      243
      ncols
      32
      hash
      3f3d99a9a5d84605bb3be07b94c9122b4d69d7545de478b314d75f5b0742afdf
      filename
      ne_110m_populated_places_simple.zip
    • geodatasets.Dataset
      naturalearth.lakes
      url
      https://naciscdn.org/naturalearth/110m/physical/ne_110m_lakes.zip
      license
      CC0
      attribution
      Natural Earth
      description
      Major natural and artificial lakes polygons.
      geometry_type
      Polygon
      details
      https://www.naturalearthdata.com/downloads/10m-physical-vectors/10m-lakes/
      nrows
      24
      ncols
      38
      hash
      f2eed3c738a93010770acb0ba44273ea6a83b053641588bc902d9d6fd1cdafcb
      filename
      ne_110m_lakes.zip
    • geodatasets.Dataset
      naturalearth.land
      url
      https://naciscdn.org/naturalearth/110m/physical/ne_110m_land.zip
      license
      CC0
      attribution
      Natural Earth
      description
      Land polygons including major islands in a 1:110m resolution.
      geometry_type
      Polygon
      details
      https://www.naturalearthdata.com/downloads/110m-physical-vectors/110m-land/
      nrows
      127
      ncols
      4
      hash
      1926c621afd6ac67c3f36639bb1236134a48d82226dc675d3e3df53d02d2a3de
      filename
      ne_110m_land.zip
  • geodatasets.Bunch
    11 items
    • geodatasets.Dataset
      spdata.nydata
      url
      https://github.com/Nowosad/spData/raw/refs/heads/master/inst/shapes/NY8_bna_utm18.gpkg
      license
      CC0
      attribution
      spData
      description
      New York leukemia data taken from the data sets supporting Waller and Gotway 2004 to demonstrate spatial data import techniques.
      geometry_type
      Polygon
      details
      https://jakubnowosad.com/spData/reference/nydata.html
      nrows
      281
      ncols
      13
      hash
      80f7814b3064824e7656c55b3cadfc82926d8e7c4337ddc274e2c54ef939bb43
      filename
      NY8_bna_utm18.gpkg
    • geodatasets.Dataset
      spdata.auckland
      url
      https://github.com/Nowosad/spData/raw/refs/heads/master/inst/shapes/auckland.gpkg
      license
      CC0
      attribution
      spData
      description
      Marshall's infant mortality in Auckland dataset
      geometry_type
      Polygon
      details
      https://jakubnowosad.com/spData/reference/auckland.html
      nrows
      167
      ncols
      5
      hash
      bdef254513a90f1f3a59db6f3a1bfd70c4d905b81e4103fa0959e7d7b1b8476e
      filename
      auckland.gpkg
    • geodatasets.Dataset
      spdata.boston
      url
      https://github.com/Nowosad/spData/raw/refs/heads/master/inst/shapes/boston_tracts.gpkg
      license
      CC0
      attribution
      spData
      description
      Boston Housing Data
      geometry_type
      Polygon
      details
      https://jakubnowosad.com/spData/reference/boston.html
      nrows
      506
      ncols
      37
      hash
      ab883a3047d342e035c826896efaa048b4b1442b3be1f70f63c280fe154e8d3a
      filename
      boston_tracts.gpkg
    • geodatasets.Dataset
      spdata.columbus
      url
      https://github.com/Nowosad/spData/raw/refs/heads/master/inst/shapes/columbus.gpkg
      license
      CC0
      attribution
      spData
      description
      Columbus OH spatial analysis dataset
      geometry_type
      Polygon
      details
      https://jakubnowosad.com/spData/reference/columbus.html
      nrows
      49
      ncols
      21
      hash
      8c7cf24780306d731b48095d10567f14c91ddb2278a976d42425c2cbe46624be
      filename
      columbus.gpkg
    • geodatasets.Dataset
      spdata.cycle_hire
      url
      https://github.com/Nowosad/spData/raw/refs/heads/master/inst/shapes/cycle_hire.geojson
      license
      CC0
      attribution
      spData
      description
      Cycle hire points in London
      geometry_type
      Point
      details
      https://jakubnowosad.com/spData/reference/cycle_hire.html
      nrows
      742
      ncols
      6
      hash
      07177c46a2aba4f82f20b7584e9fac9ce9e9d157d17bf4dea04cb25d4e720edd
      filename
      cycle_hire.geojson
    • geodatasets.Dataset
      spdata.cycle_hire_osm
      url
      https://github.com/Nowosad/spData/raw/refs/heads/master/inst/shapes/cycle_hire_osm.geojson
      license
      CC0
      attribution
      spData
      description
      Cycle hire points in London from OSM
      geometry_type
      Point
      details
      https://jakubnowosad.com/spData/reference/cycle_hire_osm.html
      nrows
      532
      ncols
      6
      hash
      804e7298bc5e84d6a73f212bdd19b7f3926ee0f50a3dbd957c46c07950dcc267
      filename
      cycle_hire_osm.geojson
    • geodatasets.Dataset
      spdata.eire
      url
      https://github.com/Nowosad/spData/raw/refs/heads/master/inst/shapes/eire.gpkg
      license
      CC0
      attribution
      spData
      description
      Eire datasets
      geometry_type
      Polygon
      details
      https://jakubnowosad.com/spData/reference/eire.html
      nrows
      26
      ncols
      11
      hash
      e8c4969a819baa6c29cc0126dbbcef33cbec0459e349f0bce4fe3f37e211d175
      filename
      eire.gpkg
    • geodatasets.Dataset
      spdata.ncsids
      url
      https://github.com/Nowosad/spData/raw/refs/heads/master/inst/shapes/sids.gpkg
      license
      CC0
      attribution
      spData
      description
      North Carolina SIDS data
      geometry_type
      Polygon
      details
      https://jakubnowosad.com/spData/reference/nc.sids.html
      nrows
      100
      ncols
      23
      hash
      67ab56c847e1524385adf3b4e67648054035d137e5fe956f96e16941bbc5a00f
      filename
      sids.gpkg
    • geodatasets.Dataset
      spdata.wheat
      url
      https://github.com/Nowosad/spData/raw/refs/heads/master/inst/shapes/wheat.gpkg
      license
      CC0
      attribution
      spData
      description
      Mercer and Hall wheat yield data
      geometry_type
      Polygon
      details
      https://jakubnowosad.com/spData/reference/wheat.html
      nrows
      500
      ncols
      9
      hash
      4e4c2bfd72e3abfe240155ee6952e8235ed75aa21c39868c360e95e70c39f438
      filename
      wheat.gpkg
    • geodatasets.Dataset
      spdata.zion
      url
      https://github.com/Nowosad/spDataLarge/raw/refs/heads/master/inst/vector/zion.gpkg
      license
      CC0
      attribution
      spDataLarge
      description
      The borders of Zion National Park
      geometry_type
      Polygon
      details
      https://jakubnowosad.com/spDataLarge/reference/zion.gpkg.html
      nrows
      1
      ncols
      12
      hash
      03b8584ae4f4e329c0626749596733e07158cf503b5ae8590af88fa70e9d6290
      filename
      zion.gpkg
    • geodatasets.Dataset
      spdata.zion_points
      url
      https://github.com/Nowosad/spDataLarge/raw/refs/heads/master/inst/vector/zion_points.gpkg
      license
      CC0
      attribution
      spDataLarge
      description
      Dataset containing 30 randomly located points in the Zion National Park
      geometry_type
      Point
      details
      https://jakubnowosad.com/spDataLarge/reference/zion_points.gpkg.html
      nrows
      30
      ncols
      1
      hash
      c69683c8a1a9775b0b77689ecadbbec0251bdd603633822d0c85282b41fc9bc4
      filename
      zion_points.gpkg

Datasets are normally grouped by the provider.

geodatasets.data.geoda
geodatasets.Bunch
53 items
  • geodatasets.Dataset
    geoda.airbnb
    url
    https://geodacenter.github.io/data-and-lab//data/airbnb.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    Airbnb rentals, socioeconomics, and crime in Chicago
    geometry_type
    Polygon
    nrows
    77
    ncols
    21
    details
    https://geodacenter.github.io/data-and-lab//airbnb/
    hash
    a2ab1e3f938226d287dd76cde18c00e2d3a260640dd826da7131827d9e76c824
    filename
    airbnb.zip
  • geodatasets.Dataset
    geoda.atlanta
    url
    https://geodacenter.github.io/data-and-lab//data/atlanta_hom.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    Atlanta, GA region homicide counts and rates
    geometry_type
    Polygon
    nrows
    90
    ncols
    24
    details
    https://geodacenter.github.io/data-and-lab//atlanta_old/
    hash
    a33a76e12168fe84361e60c88a9df4856730487305846c559715c89b1a2b5e09
    filename
    atlanta_hom.zip
    members
    ['atlanta_hom/atl_hom.geojson']
  • geodatasets.Dataset
    geoda.cars
    url
    https://geodacenter.github.io/data-and-lab//data/Abandoned_Vehicles_Map.csv
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    2011 abandoned vehicles in Chicago (311 complaints).
    geometry_type
    Point
    nrows
    137867
    ncols
    21
    details
    https://geodacenter.github.io/data-and-lab//1-source-and-description/
    hash
    6a0b23bc7eda2dcf1af02d43ccf506b24ca8d8c6dc2fe86a2a1cc051b03aae9e
    filename
    Abandoned_Vehicles_Map.csv
  • geodatasets.Dataset
    geoda.charleston1
    url
    https://geodacenter.github.io/data-and-lab//data/CharlestonMSA.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    2000 Census Tract Data for Charleston, SC MSA and counties
    geometry_type
    Polygon
    nrows
    117
    ncols
    31
    details
    https://geodacenter.github.io/data-and-lab//charleston-1_old/
    hash
    4a4fa9c8dd4231ae0b2f12f24895b8336bcab0c28c48653a967cffe011f63a7c
    filename
    CharlestonMSA.zip
    members
    ['CharlestonMSA/sc_final_census2.gpkg']
  • geodatasets.Dataset
    geoda.charleston2
    url
    https://geodacenter.github.io/data-and-lab//data/CharlestonMSA2.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    1998 and 2001 Zip Code Business Patterns (Census Bureau) for Charleston, SC MSA
    geometry_type
    Polygon
    nrows
    42
    ncols
    60
    details
    https://geodacenter.github.io/data-and-lab//charleston2/
    hash
    056d5d6e236b5bd95f5aee26c77bbe7d61bd07db5aaf72866c2f545205c1d8d7
    filename
    CharlestonMSA2.zip
    members
    ['CharlestonMSA2/CharlestonMSA2.gpkg']
  • geodatasets.Dataset
    geoda.chicago_health
    url
    https://geodacenter.github.io/data-and-lab//data/comarea.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    Chicago Health + Socio-Economics
    geometry_type
    Polygon
    nrows
    77
    ncols
    87
    details
    https://geodacenter.github.io/data-and-lab//comarea_vars/
    hash
    4e872adb552786eae2fcd745524696e5e4cd33cc9a6c032471c0e75328871401
    filename
    comarea.zip
  • geodatasets.Dataset
    geoda.chicago_commpop
    url
    https://geodacenter.github.io/data-and-lab//data/chicago_commpop.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    Chicago Community Area Population Percent Change for 2000 and 2010
    geometry_type
    Polygon
    nrows
    77
    ncols
    9
    details
    https://geodacenter.github.io/data-and-lab//commpop/
    hash
    1dbebb50c8ea47e2279ea819ef64ba793bdee2b88e4716bd6c6ec0e0d8e0e05b
    filename
    chicago_commpop.zip
    members
    ['chicago_commpop/chicago_commpop.geojson']
  • geodatasets.Dataset
    geoda.chile_labor
    url
    https://geodacenter.github.io/data-and-lab//data/flma.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    Labor Markets in Chile (1982-2002)
    geometry_type
    Polygon
    nrows
    64
    ncols
    140
    details
    https://geodacenter.github.io/data-and-lab//FLMA/
    hash
    4777072268d0127b3d0be774f51d0f66c15885e9d3c92bc72c641a72f220796c
    filename
    flma.zip
    members
    ['flma/FLMA.geojson']
  • geodatasets.Dataset
    geoda.cincinnati
    url
    https://geodacenter.github.io/data-and-lab//data/walnuthills_updated.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    2008 Cincinnati Crime + Socio-Demographics
    geometry_type
    Polygon
    nrows
    457
    ncols
    73
    details
    https://geodacenter.github.io/data-and-lab//walnut_hills/
    hash
    d6871dd688bd14cf4710a218d721d34f6574456f2a14d5c5cfe5a92054ee9763
    filename
    walnuthills_updated.zip
    members
    ['walnuthills_updated']
  • geodatasets.Dataset
    geoda.cleveland
    url
    https://geodacenter.github.io/data-and-lab//data/cleveland.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    2015 sales prices of homes in Cleveland, OH.
    geometry_type
    Point
    nrows
    205
    ncols
    10
    details
    https://geodacenter.github.io/data-and-lab//clev_sls_154_core/
    hash
    49aeba03eb06bf9b0d9cddd6507eb4a226b7c7a7561145562885c5cddfaeaadf
    filename
    cleveland.zip
  • geodatasets.Dataset
    geoda.grid100
    url
    https://geodacenter.github.io/data-and-lab//data/grid100.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    Grid with simulated variables
    geometry_type
    Polygon
    nrows
    100
    ncols
    37
    details
    https://geodacenter.github.io/data-and-lab//grid100/
    hash
    5702ba39606044f71d53ae6a83758b81332bd3aa216b7b7b6e1c60dd0e72f476
    filename
    grid100.zip
    members
    ['grid100/grid100s.gpkg']
  • geodatasets.Dataset
    geoda.groceries
    url
    https://geodacenter.github.io/data-and-lab//data/grocery.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    2015 Chicago supermarkets
    geometry_type
    Point
    nrows
    148
    ncols
    8
    details
    https://geodacenter.github.io/data-and-lab//chicago_sup_vars/
    hash
    ead10e53b21efcaa29b798428b93ba2a1c0ba1b28f046265c1737712fa83f88a
    filename
    grocery.zip
    members
    ['grocery/chicago_sup.shp', 'grocery/chicago_sup.dbf', 'grocery/chicago_sup.shx', 'grocery/chicago_sup.prj']
  • geodatasets.Dataset
    geoda.guerry
    url
    https://geodacenter.github.io/data-and-lab//data/guerry.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    Mortal statistics of France (Guerry, 1833)
    geometry_type
    Polygon
    nrows
    85
    ncols
    24
    details
    https://geodacenter.github.io/data-and-lab//Guerry/
    hash
    80d2b355ad3340fcffa0a28e5cec0698af01067f8059b1a60388d200a653b3e8
    filename
    guerry.zip
    members
    ['guerry/guerry.shp', 'guerry/guerry.dbf', 'guerry/guerry.shx', 'guerry/guerry.prj']
  • geodatasets.Dataset
    geoda.health
    url
    https://geodacenter.github.io/data-and-lab//data/income_diversity.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    2000 Health, Income + Diversity
    geometry_type
    Polygon
    nrows
    3984
    ncols
    65
    details
    https://geodacenter.github.io/data-and-lab//co_income_diversity_variables/
    hash
    eafee1063040258bc080e7b501bdf1438d6e45ba208954d8c2e1a7562142d0a7
    filename
    income_diversity.zip
    members
    ['income_diversity/income_diversity.shp', 'income_diversity/income_diversity.dbf', 'income_diversity/income_diversity.shx', 'income_diversity/income_diversity.prj']
  • geodatasets.Dataset
    geoda.health_indicators
    url
    https://geodacenter.github.io/data-and-lab//data/healthIndicators.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    Chicago Health Indicators (2005-11)
    geometry_type
    Polygon
    nrows
    77
    ncols
    32
    details
    https://geodacenter.github.io/data-and-lab//healthindicators-variables/
    hash
    b43683245f8fc3b4ab69ffa75d2064920a1a91dc76b9dcc08e288765ba0c94f3
    filename
    healthIndicators.zip
  • geodatasets.Dataset
    geoda.hickory1
    url
    https://geodacenter.github.io/data-and-lab//data/HickoryMSA.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    2000 Census Tract Data for Hickory, NC MSA and counties
    geometry_type
    Polygon
    nrows
    68
    ncols
    31
    details
    https://geodacenter.github.io/data-and-lab//hickory1/
    hash
    4c0804608d303e6e44d51966bb8927b1f5f9e060a9b91055a66478b9039d2b44
    filename
    HickoryMSA.zip
    members
    ['HickoryMSA/nc_final_census2.geojson']
  • geodatasets.Dataset
    geoda.hickory2
    url
    https://geodacenter.github.io/data-and-lab//data/HickoryMSA2.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    1998 and 2001 Zip Code Business Patterns (Census Bureau) for Hickory, NC MSA
    geometry_type
    Polygon
    nrows
    29
    ncols
    56
    details
    https://geodacenter.github.io/data-and-lab//hickory2/
    hash
    5e9498e1ff036297c3eea3cc42ac31501680a43b50c71b486799ef9021679d07
    filename
    HickoryMSA2.zip
    members
    ['HickoryMSA2/HickoryMSA2.geojson']
  • geodatasets.Dataset
    geoda.home_sales
    url
    https://geodacenter.github.io/data-and-lab//data/kingcounty.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    2014-15 Home Sales in King County, WA
    geometry_type
    Point
    nrows
    21613
    ncols
    22
    details
    https://geodacenter.github.io/data-and-lab//KingCounty-HouseSales2015/
    hash
    b979f0eb2cef6ebd2c761d552821353f795635eb8db53a95f2815fc46e1f644c
    filename
    kingcounty.zip
    members
    ['kingcounty/kc_house.shp', 'kingcounty/kc_house.dbf', 'kingcounty/kc_house.shx', 'kingcounty/kc_house.prj']
  • geodatasets.Dataset
    geoda.houston
    url
    https://geodacenter.github.io/data-and-lab//data/houston_hom.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    Houston, TX region homicide counts and rates
    geometry_type
    Polygon
    nrows
    52
    ncols
    24
    details
    https://geodacenter.github.io/data-and-lab//houston/
    hash
    d3167fd150a1369d9a32b892d3b2a8747043d3d382c3dd81e51f696b191d0d15
    filename
    houston_hom.zip
    members
    ['houston_hom/hou_hom.geojson']
  • geodatasets.Dataset
    geoda.juvenile
    url
    https://geodacenter.github.io/data-and-lab//data/juvenile.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    Cardiff juvenile delinquent residences
    geometry_type
    Point
    nrows
    168
    ncols
    4
    details
    https://geodacenter.github.io/data-and-lab//juvenile/
    hash
    811cfcfa613578214d907bfbdd396c6e02261e5cda6d56b25a6f961148de961c
    filename
    juvenile.zip
    members
    ['juvenile/juvenile.shp', 'juvenile/juvenile.shx', 'juvenile/juvenile.dbf']
  • geodatasets.Dataset
    geoda.lansing1
    url
    https://geodacenter.github.io/data-and-lab//data/LansingMSA.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    2000 Census Tract Data for Lansing, MI MSA and counties
    geometry_type
    Polygon
    nrows
    117
    ncols
    31
    details
    https://geodacenter.github.io/data-and-lab//lansing1/
    hash
    724ce3d889fa50e7632d16200cf588d40168d49adaf5bca45049dc1b3758bde1
    filename
    LansingMSA.zip
    members
    ['LansingMSA/mi_final_census2.geojson']
  • geodatasets.Dataset
    geoda.lansing2
    url
    https://geodacenter.github.io/data-and-lab//data/LansingMSA2.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    1998 and 2001 Zip Code Business Patterns (Census Bureau) for Lansing, MI MSA
    geometry_type
    Polygon
    nrows
    46
    ncols
    56
    details
    https://geodacenter.github.io/data-and-lab//lansing2/
    hash
    7657c05d3bd6090c4d5914cfe5aaf01f694601c1e0c29bc3ecbe9bc523662303
    filename
    LansingMSA2.zip
    members
    ['LansingMSA2/LansingMSA2.geojson']
  • geodatasets.Dataset
    geoda.lasrosas
    url
    https://geodacenter.github.io/data-and-lab//data/lasrosas.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    Corn yield, fertilizer and field data for precision agriculture, Argentina, 1999
    geometry_type
    Polygon
    nrows
    1738
    ncols
    35
    details
    https://geodacenter.github.io/data-and-lab//lasrosas/
    hash
    038d0e82203f2875b50499dbd8498ca9c762ebd8003b2f2203ebc6acada8f8fd
    filename
    lasrosas.zip
    members
    ['lasrosas/rosas1999.gpkg']
  • geodatasets.Dataset
    geoda.liquor_stores
    url
    https://geodacenter.github.io/data-and-lab//data/liquor.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    2015 Chicago Liquor Stores
    geometry_type
    Point
    nrows
    571
    ncols
    3
    details
    https://geodacenter.github.io/data-and-lab//liq_chicago/
    hash
    6a483a6a7066a000bc97bfe71596cf28834d3088fbc958455b903a0938b3b530
    filename
    liquor.zip
    members
    ['liq_Chicago.shp', 'liq_Chicago.dbf', 'liq_Chicago.shx', 'liq_Chicago.prj']
  • geodatasets.Dataset
    geoda.malaria
    url
    https://geodacenter.github.io/data-and-lab//data/malariacolomb.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    Malaria incidence and population (1973, 95, 93 censuses and projections until 2005)
    geometry_type
    Polygon
    nrows
    1068
    ncols
    51
    details
    https://geodacenter.github.io/data-and-lab//colomb_malaria/
    hash
    ca77477656829833a4e3e384b02439632fa28bb577610fe5aef9e0b094c41a95
    filename
    malariacolomb.zip
    members
    ['malariacolomb/colmunic.gpkg']
  • geodatasets.Dataset
    geoda.milwaukee1
    url
    https://geodacenter.github.io/data-and-lab//data/MilwaukeeMSA.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    2000 Census Tract Data for Milwaukee, WI MSA
    geometry_type
    Polygon
    nrows
    417
    ncols
    35
    details
    https://geodacenter.github.io/data-and-lab//milwaukee1/
    hash
    bf3c9617c872db26ea56f20e82a449f18bb04d8fb76a653a2d3842d465bc122c
    filename
    MilwaukeeMSA.zip
    members
    ['MilwaukeeMSA/wi_final_census2_random4.gpkg']
  • geodatasets.Dataset
    geoda.milwaukee2
    url
    https://geodacenter.github.io/data-and-lab//data/MilwaukeeMSA2.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    1998 and 2001 Zip Code Business Patterns (Census Bureau) for Milwaukee, WI MSA
    geometry_type
    Polygon
    nrows
    83
    ncols
    60
    details
    https://geodacenter.github.io/data-and-lab//milwaukee2/
    hash
    7f74212d63addb9ab84fac9447ee898498c8fafc284edcffe1f1ac79c2175d60
    filename
    MilwaukeeMSA2.zip
    members
    ['MilwaukeeMSA2/MilwaukeeMSA2.gpkg']
  • geodatasets.Dataset
    geoda.ncovr
    url
    https://geodacenter.github.io/data-and-lab//data/ncovr.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    US county homicides 1960-1990
    geometry_type
    Polygon
    nrows
    3085
    ncols
    70
    details
    https://geodacenter.github.io/data-and-lab//ncovr/
    hash
    e8cb04e6da634c6cd21808bd8cfe4dad6e295b22e8d40cc628e666887719cfe9
    filename
    ncovr.zip
    members
    ['ncovr/NAT.gpkg']
  • geodatasets.Dataset
    geoda.natregimes
    url
    https://geodacenter.github.io/data-and-lab//data/natregimes.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    NCOVR with regimes (book/PySAL)
    geometry_type
    Polygon
    nrows
    3085
    ncols
    74
    details
    https://geodacenter.github.io/data-and-lab//natregimes/
    hash
    431d0d95ffa000692da9319e6bd28701b1156f7b8e716d4bfcd1e09b6e357918
    filename
    natregimes.zip
  • geodatasets.Dataset
    geoda.ndvi
    url
    https://geodacenter.github.io/data-and-lab//data/ndvi.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    Normalized Difference Vegetation Index grid
    geometry_type
    Polygon
    nrows
    49
    ncols
    8
    details
    https://geodacenter.github.io/data-and-lab//ndvi/
    hash
    a89459e50a4495c24ead1d284930467ed10eb94829de16a693a9fa89dea2fe22
    filename
    ndvi.zip
    members
    ['ndvi/ndvigrid.gpkg']
  • geodatasets.Dataset
    geoda.nepal
    url
    https://geodacenter.github.io/data-and-lab//data/nepal.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    Health, poverty and education indicators for Nepal districts
    geometry_type
    Polygon
    nrows
    75
    ncols
    62
    details
    https://geodacenter.github.io/data-and-lab//nepal/
    hash
    d7916568fe49ff258d0f03ac115e68f64cdac572a9fd2b29de2d70554ac2b20d
    filename
    nepal.zip
  • geodatasets.Dataset
    geoda.nyc
    url
    https://geodacenter.github.io/data-and-lab///data/nyc.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    Demographic and housing data for New York City subboroughs, 2002-09
    geometry_type
    Polygon
    nrows
    55
    ncols
    35
    details
    https://geodacenter.github.io/data-and-lab//nyc/
    hash
    a67dff2f9e6da9e11737e6be5a16e1bc33954e2c954332d68bcbf6ff7203702b
    filename
    nyc.zip
  • geodatasets.Dataset
    geoda.nyc_earnings
    url
    https://geodacenter.github.io/data-and-lab//data/lehd.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    Block-level Earnings in NYC (2002-14)
    geometry_type
    Polygon
    nrows
    108487
    ncols
    71
    details
    https://geodacenter.github.io/data-and-lab//LEHD_Data/
    hash
    771fe11e59a16d4c15c6471d9a81df5e9c9bda5ef0a207e77d8ff21b2c16891b
    filename
    lehd.zip
  • geodatasets.Dataset
    geoda.nyc_education
    url
    https://geodacenter.github.io/data-and-lab//data/nyc_2000Census.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    NYC Education (2000)
    geometry_type
    Polygon
    nrows
    2216
    ncols
    57
    details
    https://geodacenter.github.io/data-and-lab//NYC-Census-2000/
    hash
    ecdf342654415107911291a8076c1685bd2c8a08d8eaed3ce9c3e9401ef714f2
    filename
    nyc_2000Census.zip
  • geodatasets.Dataset
    geoda.nyc_neighborhoods
    url
    https://geodacenter.github.io/data-and-lab//data/nycnhood_acs.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    Demographics for New York City neighborhoods
    geometry_type
    Polygon
    nrows
    195
    ncols
    99
    details
    https://geodacenter.github.io/data-and-lab//NYC-Nhood-ACS-2008-12/
    hash
    aeb75fc5c95fae1088093827fca69928cee3ad27039441bb35c03013d2ee403f
    filename
    nycnhood_acs.zip
  • geodatasets.Dataset
    geoda.orlando1
    url
    https://geodacenter.github.io/data-and-lab//data/OrlandoMSA.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    2000 Census Tract Data for Orlando, FL MSA and counties
    geometry_type
    Polygon
    nrows
    328
    ncols
    31
    details
    https://geodacenter.github.io/data-and-lab//orlando1/
    hash
    e98ea5b9ffaf3e421ed437f665c739d1e92d9908e2b121c75ac02ecf7de2e254
    filename
    OrlandoMSA.zip
    members
    ['OrlandoMSA/orlando_final_census2.gpkg']
  • geodatasets.Dataset
    geoda.orlando2
    url
    https://geodacenter.github.io/data-and-lab//data/OrlandoMSA2.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    1998 and 2001 Zip Code Business Patterns (Census Bureau) for Orlando, FL MSA
    geometry_type
    Polygon
    nrows
    94
    ncols
    60
    details
    https://geodacenter.github.io/data-and-lab//orlando2/
    hash
    4cd8c3469cb7edea5f0fb615026192e12b1d4b50c22b28345adf476bc85d0f03
    filename
    OrlandoMSA2.zip
    members
    ['OrlandoMSA2/OrlandoMSA2.gpkg']
  • geodatasets.Dataset
    geoda.oz9799
    url
    https://geodacenter.github.io/data-and-lab//data/oz9799.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    Monthly ozone data, 1997-99
    geometry_type
    Point
    nrows
    30
    ncols
    78
    details
    https://geodacenter.github.io/data-and-lab//oz96/
    hash
    1ecc7c46f5f42af6057dedc1b73f56b576cb9716d2c08d23cba98f639dfddb82
    filename
    oz9799.zip
    members
    ['oz9799/oz9799.csv']
  • geodatasets.Dataset
    geoda.phoenix_acs
    url
    https://geodacenter.github.io/data-and-lab//data/phx2.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    Phoenix American Community Survey Data (2010, 5-year averages)
    geometry_type
    Polygon
    nrows
    985
    ncols
    18
    details
    https://geodacenter.github.io/data-and-lab//phx/
    hash
    b2f6e196bacb6f3fe1fc909af482e7e75b83d1f8363fc73038286364c13334ee
    filename
    phx2.zip
    members
    ['phx/phx.gpkg']
  • geodatasets.Dataset
    geoda.police
    url
    https://geodacenter.github.io/data-and-lab//data/police.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    Police expenditures Mississippi counties
    geometry_type
    Polygon
    nrows
    82
    ncols
    22
    details
    https://geodacenter.github.io/data-and-lab//police/
    hash
    596270d62dea8207001da84883ac265591e5de053f981c7491e7b5c738e9e9ff
    filename
    police.zip
    members
    ['police/police.gpkg']
  • geodatasets.Dataset
    geoda.sacramento1
    url
    https://geodacenter.github.io/data-and-lab//data/sacramento.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    2000 Census Tract Data for Sacramento MSA
    geometry_type
    Polygon
    nrows
    403
    ncols
    32
    details
    https://geodacenter.github.io/data-and-lab//sacramento1/
    hash
    72ddeb533cf2917dc1f458add7c6042b93c79b31316ae2d22f1c855a9da275f9
    filename
    sacramento.zip
    members
    ['sacramento/sacramentot2.gpkg']
  • geodatasets.Dataset
    geoda.sacramento2
    url
    https://geodacenter.github.io/data-and-lab//data/SacramentoMSA2.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    1998 and 2001 Zip Code Business Patterns (Census Bureau) for Sacramento MSA
    geometry_type
    Polygon
    nrows
    125
    ncols
    59
    details
    https://geodacenter.github.io/data-and-lab//sacramento2/
    hash
    3f6899efd371804ea8bfaf3cdfd3ed4753ea4d009fed38a57c5bbf442ab9468b
    filename
    SacramentoMSA2.zip
    members
    ['SacramentoMSA2/SacramentoMSA2.gpkg']
  • geodatasets.Dataset
    geoda.savannah1
    url
    https://geodacenter.github.io/data-and-lab//data/SavannahMSA.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    2000 Census Tract Data for Savannah, GA MSA and counties
    geometry_type
    Polygon
    nrows
    77
    ncols
    31
    details
    https://geodacenter.github.io/data-and-lab//savannah1/
    hash
    df48c228776d2122c38935b2ebbf4cbb90c0bacc68df01161e653aab960e4208
    filename
    SavannahMSA.zip
    members
    ['SavannahMSA/ga_final_census2.gpkg']
  • geodatasets.Dataset
    geoda.savannah2
    url
    https://geodacenter.github.io/data-and-lab//data/SavannahMSA2.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    1998 and 2001 Zip Code Business Patterns (Census Bureau) for Savannah, GA MSA
    geometry_type
    Polygon
    nrows
    24
    ncols
    60
    details
    https://geodacenter.github.io/data-and-lab//savannah2/
    hash
    5b22b84a8665434cb91e800a039337f028b888082b8ef7a26d77eb6cc9aea8c1
    filename
    SavannahMSA2.zip
    members
    ['SavannahMSA2/SavannahMSA2.gpkg']
  • geodatasets.Dataset
    geoda.seattle1
    url
    https://geodacenter.github.io/data-and-lab//data/SeattleMSA.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    2000 Census Tract Data for Seattle, WA MSA and counties
    geometry_type
    Polygon
    nrows
    664
    ncols
    31
    details
    https://geodacenter.github.io/data-and-lab//seattle1/
    hash
    46fb75a30f0e7963e6108bdb19af4d7db4c72c3d5a020025cafa528c96e09daa
    filename
    SeattleMSA.zip
    members
    ['SeattleMSA/wa_final_census2.gpkg']
  • geodatasets.Dataset
    geoda.seattle2
    url
    https://geodacenter.github.io/data-and-lab//data/SeattleMSA2.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    1998 and 2001 Zip Code Business Patterns (Census Bureau) for Seattle, WA MSA
    geometry_type
    Polygon
    nrows
    145
    ncols
    60
    details
    https://geodacenter.github.io/data-and-lab//seattle2/
    hash
    3dac2fa5b8c8dfa9dd5273a85de7281e06e18ab4f197925607f815f4e44e4d0c
    filename
    SeattleMSA2.zip
    members
    ['SeattleMSA2/SeattleMSA2.gpkg']
  • geodatasets.Dataset
    geoda.sids
    url
    https://geodacenter.github.io/data-and-lab//data/sids.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    North Carolina county SIDS death counts
    geometry_type
    Polygon
    nrows
    100
    ncols
    15
    details
    https://geodacenter.github.io/data-and-lab//sids/
    hash
    e2f7b210b9a57839423fd170e47c02cf7a2602a480a1036bb0324e1112a4eaab
    filename
    sids.zip
    members
    ['sids/sids.gpkg']
  • geodatasets.Dataset
    geoda.sids2
    url
    https://geodacenter.github.io/data-and-lab//data/sids2.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    North Carolina county SIDS death counts and rates
    geometry_type
    Polygon
    nrows
    100
    ncols
    19
    details
    https://geodacenter.github.io/data-and-lab//sids2/
    hash
    b5875ffbdb261e6fa75dc4580d67111ef1434203f2d6a5d63ffac16db3a14bd0
    filename
    sids2.zip
    members
    ['sids2/sids2.gpkg']
  • geodatasets.Dataset
    geoda.south
    url
    https://geodacenter.github.io/data-and-lab//data/south.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    US Southern county homicides 1960-1990
    geometry_type
    Polygon
    nrows
    1412
    ncols
    70
    details
    https://geodacenter.github.io/data-and-lab//south/
    hash
    8f151d99c643b187aad37cfb5c3212353e1bc82804a4399a63de369490e56a7a
    filename
    south.zip
    members
    ['south/south.gpkg']
  • geodatasets.Dataset
    geoda.spirals
    url
    https://geodacenter.github.io/data-and-lab//data/spirals.csv
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    Synthetic spiral points
    geometry_type
    Point
    nrows
    300
    ncols
    2
    details
    https://geodacenter.github.io/data-and-lab//spirals/
    hash
    3203b0a6db37c1207b0f1727c980814f541ce0a222597475f9c91540b1d372f1
    filename
    spirals.csv
  • geodatasets.Dataset
    geoda.stlouis
    url
    https://geodacenter.github.io/data-and-lab//data/stlouis.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    St Louis region county homicide counts and rates
    geometry_type
    Polygon
    nrows
    78
    ncols
    24
    details
    https://geodacenter.github.io/data-and-lab//stlouis/
    hash
    181a17a12e9a2b2bfc9013f399e149da935e0d5cb95c3595128f67898c4365f3
    filename
    stlouis.zip
  • geodatasets.Dataset
    geoda.tampa1
    url
    https://geodacenter.github.io/data-and-lab//data/TampaMSA.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    2000 Census Tract Data for Tampa, FL MSA and counties
    geometry_type
    Polygon
    nrows
    547
    ncols
    31
    details
    https://geodacenter.github.io/data-and-lab//tampa1/
    hash
    9a7ea0746138f62aa589e8377edafea48a7b1be0cdca2b38798ba21665bfb463
    filename
    TampaMSA.zip
    members
    ['TampaMSA/tampa_final_census2.gpkg']
  • geodatasets.Dataset
    geoda.us_sdoh
    url
    https://geodacenter.github.io/data-and-lab//data/us-sdoh-2014.zip
    license
    NA
    attribution
    Center for Spatial Data Science, University of Chicago
    description
    2014 US Social Determinants of Health Data
    geometry_type
    Polygon
    nrows
    71901
    ncols
    26
    details
    https://geodacenter.github.io/data-and-lab//us-sdoh/
    hash
    076701725c4b67248f79c8b8a40e74f9ad9e194d3237e1858b3d20176a6562a5
    filename
    us-sdoh-2014.zip
    members
    ['us-sdoh-2014/us-sdoh-2014.shp', 'us-sdoh-2014/us-sdoh-2014.dbf', 'us-sdoh-2014/us-sdoh-2014.shx', 'us-sdoh-2014/us-sdoh-2014.prj']

Looking at a single dataset, for example “atlanta”, we can see this is a Dataset object, which behaves as a dict:

geodatasets.data.geoda.atlanta
geodatasets.Dataset
geoda.atlanta
url
https://geodacenter.github.io/data-and-lab//data/atlanta_hom.zip
license
NA
attribution
Center for Spatial Data Science, University of Chicago
description
Atlanta, GA region homicide counts and rates
geometry_type
Polygon
nrows
90
ncols
24
details
https://geodacenter.github.io/data-and-lab//atlanta_old/
hash
a33a76e12168fe84361e60c88a9df4856730487305846c559715c89b1a2b5e09
filename
atlanta_hom.zip
members
['atlanta_hom/atl_hom.geojson']

A Dataset is then a dictionary with a few required entries, such as the url, with some additional metadata information (optional). These can be the attribution, size, license or description.

Downloading and caching

You can use geodatasets to download and cache individual datasets, or just retrieve the URL. Top-level API accepts a string that returns a matching Dataset from the Bunch if the name contains the same letters in the same order as the item’s name irrespective of the letter case, spaces, dashes and other characters.

geodatasets.get_url("geoda atlanta")
'https://geodacenter.github.io/data-and-lab//data/atlanta_hom.zip'

Or we can ask for a local path. If the file is already in cache, it is just returned. Otherwise, it gets downloaded first.

geodatasets.get_path("geoda atlanta")
Downloading file 'atlanta_hom.zip' from 'https://geodacenter.github.io/data-and-lab//data/atlanta_hom.zip' to '/home/docs/.cache/geodatasets'.
Extracting 'atlanta_hom/atl_hom.geojson' from '/home/docs/.cache/geodatasets/atlanta_hom.zip' to '/home/docs/.cache/geodatasets/atlanta_hom.zip.unzip'
'/home/docs/.cache/geodatasets/atlanta_hom.zip.unzip/atlanta_hom/atl_hom.geojson'

The same can be extracted via url and path properties of the Dataset.

geodatasets.data.geoda.atlanta.url
'https://geodacenter.github.io/data-and-lab//data/atlanta_hom.zip'

Retrieving the path optionally triggers file download as get_path.

geodatasets.data.geoda.atlanta.path
'/home/docs/.cache/geodatasets/atlanta_hom.zip.unzip/atlanta_hom/atl_hom.geojson'