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.Bunch53 items
-
geodatasets.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Bunch1 items
-
geodatasets.Datasetny.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.Bunch1 items
-
geodatasets.Dataseteea.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.Bunch2 items
-
geodatasets.Datasetabs.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.Datasetabs.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.Bunch3 items
-
geodatasets.Datasetnaturalearth.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.Datasetnaturalearth.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.Datasetnaturalearth.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.Bunch11 items
-
geodatasets.Datasetspdata.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.Datasetspdata.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.Datasetspdata.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.Datasetspdata.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.Datasetspdata.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.Datasetspdata.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.Datasetspdata.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.Datasetspdata.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.Datasetspdata.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.Datasetspdata.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.Datasetspdata.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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.Datasetgeoda.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
- 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'