{ "cells": [ { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "# Introduction of `geodatasets`\n", "\n", "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." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import geodatasets" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## What is the `geodatasets.data` object?\n", "\n", "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!):" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "
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'NA',\n", " 'attribution': 'Center for Spatial Data Science, University of Chicago',\n", " 'name': 'geoda.spirals',\n", " 'description': 'Synthetic spiral points',\n", " 'geometry_type': 'Point',\n", " 'nrows': 300,\n", " 'ncols': 2,\n", " 'details': 'https://geodacenter.github.io/data-and-lab//spirals/',\n", " 'hash': '3203b0a6db37c1207b0f1727c980814f541ce0a222597475f9c91540b1d372f1',\n", " 'filename': 'spirals.csv'},\n", " 'stlouis': {'url': 'https://geodacenter.github.io/data-and-lab//data/stlouis.zip',\n", " 'license': 'NA',\n", " 'attribution': 'Center for Spatial Data Science, University of Chicago',\n", " 'name': 'geoda.stlouis',\n", " 'description': 'St Louis region county homicide counts and rates',\n", " 'geometry_type': 'Polygon',\n", " 'nrows': 78,\n", " 'ncols': 24,\n", " 'details': 'https://geodacenter.github.io/data-and-lab//stlouis/',\n", " 'hash': '181a17a12e9a2b2bfc9013f399e149da935e0d5cb95c3595128f67898c4365f3',\n", " 'filename': 'stlouis.zip'},\n", " 'tampa1': 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'description': 'Land polygons including major islands in a 1:110m resolution.',\n", " 'geometry_type': 'Polygon',\n", " 'details': 'https://www.naturalearthdata.com/downloads/110m-physical-vectors/110m-land/',\n", " 'nrows': 127,\n", " 'ncols': 4,\n", " 'hash': '1926c621afd6ac67c3f36639bb1236134a48d82226dc675d3e3df53d02d2a3de',\n", " 'filename': 'ne_110m_land.zip'}}}" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "geodatasets.data" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Datasets are normally grouped by the provider." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "
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geodatasets.Bunch
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53 items
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    geodatasets.Dataset
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    geoda.airbnb
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    url
    https://geodacenter.github.io/data-and-lab//data/airbnb.zip
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    Center for Spatial Data Science, University of Chicago
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    Airbnb rentals, socioeconomics, and crime in Chicago
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    geodatasets.Dataset
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    geoda.atlanta
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    url
    https://geodacenter.github.io/data-and-lab//data/atlanta_hom.zip
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    Center for Spatial Data Science, University of Chicago
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    Atlanta, GA region homicide counts and rates
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    geodatasets.Dataset
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    geoda.cars
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    url
    https://geodacenter.github.io/data-and-lab//data/Abandoned_Vehicles_Map.csv
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    Center for Spatial Data Science, University of Chicago
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    2011 abandoned vehicles in Chicago (311 complaints).
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    geodatasets.Dataset
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    geoda.charleston1
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    url
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counts and rates',\n", " 'geometry_type': 'Polygon',\n", " 'nrows': 100,\n", " 'ncols': 19,\n", " 'details': 'https://geodacenter.github.io/data-and-lab//sids2/',\n", " 'hash': 'b5875ffbdb261e6fa75dc4580d67111ef1434203f2d6a5d63ffac16db3a14bd0',\n", " 'filename': 'sids2.zip',\n", " 'members': ['sids2/sids2.gpkg']},\n", " 'south': {'url': 'https://geodacenter.github.io/data-and-lab//data/south.zip',\n", " 'license': 'NA',\n", " 'attribution': 'Center for Spatial Data Science, University of Chicago',\n", " 'name': 'geoda.south',\n", " 'description': 'US Southern county homicides 1960-1990',\n", " 'geometry_type': 'Polygon',\n", " 'nrows': 1412,\n", " 'ncols': 70,\n", " 'details': 'https://geodacenter.github.io/data-and-lab//south/',\n", " 'hash': '8f151d99c643b187aad37cfb5c3212353e1bc82804a4399a63de369490e56a7a',\n", " 'filename': 'south.zip',\n", " 'members': ['south/south.gpkg']},\n", " 'spirals': {'url': 'https://geodacenter.github.io/data-and-lab//data/spirals.csv',\n", " 'license': 'NA',\n", " 'attribution': 'Center for Spatial Data Science, University of Chicago',\n", " 'name': 'geoda.spirals',\n", " 'description': 'Synthetic spiral points',\n", " 'geometry_type': 'Point',\n", " 'nrows': 300,\n", " 'ncols': 2,\n", " 'details': 'https://geodacenter.github.io/data-and-lab//spirals/',\n", " 'hash': '3203b0a6db37c1207b0f1727c980814f541ce0a222597475f9c91540b1d372f1',\n", " 'filename': 'spirals.csv'},\n", " 'stlouis': {'url': 'https://geodacenter.github.io/data-and-lab//data/stlouis.zip',\n", " 'license': 'NA',\n", " 'attribution': 'Center for Spatial Data Science, University of Chicago',\n", " 'name': 'geoda.stlouis',\n", " 'description': 'St Louis region county homicide counts and rates',\n", " 'geometry_type': 'Polygon',\n", " 'nrows': 78,\n", " 'ncols': 24,\n", " 'details': 'https://geodacenter.github.io/data-and-lab//stlouis/',\n", " 'hash': '181a17a12e9a2b2bfc9013f399e149da935e0d5cb95c3595128f67898c4365f3',\n", " 'filename': 'stlouis.zip'},\n", " 'tampa1': {'url': 'https://geodacenter.github.io/data-and-lab//data/TampaMSA.zip',\n", " 'license': 'NA',\n", " 'attribution': 'Center for Spatial Data Science, University of Chicago',\n", " 'name': 'geoda.tampa1',\n", " 'description': '2000 Census Tract Data for Tampa, FL MSA and counties',\n", " 'geometry_type': 'Polygon',\n", " 'nrows': 547,\n", " 'ncols': 31,\n", " 'details': 'https://geodacenter.github.io/data-and-lab//tampa1/',\n", " 'hash': '9a7ea0746138f62aa589e8377edafea48a7b1be0cdca2b38798ba21665bfb463',\n", " 'filename': 'TampaMSA.zip',\n", " 'members': ['TampaMSA/tampa_final_census2.gpkg']},\n", " 'us_sdoh': {'url': 'https://geodacenter.github.io/data-and-lab//data/us-sdoh-2014.zip',\n", " 'license': 'NA',\n", " 'attribution': 'Center for Spatial Data Science, University of Chicago',\n", " 'name': 'geoda.us_sdoh',\n", " 'description': '2014 US Social Determinants of Health Data',\n", " 'geometry_type': 'Polygon',\n", " 'nrows': 71901,\n", " 'ncols': 26,\n", " 'details': 'https://geodacenter.github.io/data-and-lab//us-sdoh/',\n", " 'hash': '076701725c4b67248f79c8b8a40e74f9ad9e194d3237e1858b3d20176a6562a5',\n", " 'filename': 'us-sdoh-2014.zip',\n", " 'members': ['us-sdoh-2014/us-sdoh-2014.shp',\n", " 'us-sdoh-2014/us-sdoh-2014.dbf',\n", " 'us-sdoh-2014/us-sdoh-2014.shx',\n", " 'us-sdoh-2014/us-sdoh-2014.prj']}}" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "geodatasets.data.geoda" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Looking at a single dataset, for example “atlanta”, we can see this is a `Dataset` object, which behaves as a dict:" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "
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geodatasets.Dataset
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geoda.atlanta
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Center for Spatial Data Science, University of Chicago
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Atlanta, GA region homicide counts and rates
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https://geodacenter.github.io/data-and-lab//atlanta_old/
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a33a76e12168fe84361e60c88a9df4856730487305846c559715c89b1a2b5e09
filename
atlanta_hom.zip
members
['atlanta_hom/atl_hom.geojson']
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\n", " " ], "text/plain": [ "{'url': 'https://geodacenter.github.io/data-and-lab//data/atlanta_hom.zip',\n", " 'license': 'NA',\n", " 'attribution': 'Center for Spatial Data Science, University of Chicago',\n", " 'name': 'geoda.atlanta',\n", " 'description': 'Atlanta, GA region homicide counts and rates',\n", " 'geometry_type': 'Polygon',\n", " 'nrows': 90,\n", " 'ncols': 24,\n", " 'details': 'https://geodacenter.github.io/data-and-lab//atlanta_old/',\n", " 'hash': 'a33a76e12168fe84361e60c88a9df4856730487305846c559715c89b1a2b5e09',\n", " 'filename': 'atlanta_hom.zip',\n", " 'members': ['atlanta_hom/atl_hom.geojson']}" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "geodatasets.data.geoda.atlanta" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "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.\n", "\n", "## Downloading and caching\n", "\n", "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." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'https://geodacenter.github.io/data-and-lab//data/atlanta_hom.zip'" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "geodatasets.get_url(\"geoda atlanta\")" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Or we can ask for a local path. If the file is already in cache, it is just returned. Otherwise, it gets downloaded first." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'/Users/martin/Library/Caches/geodatasets/atlanta_hom.zip.unzip/atlanta_hom/atl_hom.geojson'" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "geodatasets.get_path(\"geoda atlanta\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The same can be extracted via `url` and `path` properties of the `Dataset`." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'https://geodacenter.github.io/data-and-lab//data/atlanta_hom.zip'" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "geodatasets.data.geoda.atlanta.url" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Retrieving the path optionally triggers file download as `get_path`." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'/Users/martin/Library/Caches/geodatasets/atlanta_hom.zip.unzip/atlanta_hom/atl_hom.geojson'" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "geodatasets.data.geoda.atlanta.path" ] } ], "metadata": { "kernelspec": { "display_name": "geo_dev", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.5" }, "orig_nbformat": 4, "vscode": { "interpreter": { "hash": "8d1b2c984ad473d756980598d6fae8279815dc9c89a9d51a262cfb04eba7ee8f" } } }, "nbformat": 4, "nbformat_minor": 2 }