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geobr: Download Official Spatial Data Sets of Brazil

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geobr is a computational package to download official spatial data sets of Brazil. The package includes a wide range of geospatial data in geopackage format (like shapefiles but better), available at various geographic scales and for various years with harmonized attributes, projection and topology (see detailed list of available data sets below).

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To start the development environment run

uv sync

Test with

uv run pytest -n auto

You can use a helper to translate a function from R. If you want to add read_biomes, just run

uv run python helpers/translate_from_R.py read_biomes

It will scrape the original R function to get documentation and metadata. It adds:

  • default year
  • function name
  • documentation one liner
  • larger documentation
  • very basic tests

! Be aware that if the function that you are adding is more complicated than the template. So, always double check !

System Dependencies

Some functions in geobr require additional system tools to be installed:

For RAR file extraction (read_baze_sites)

This function requires one of the following tools to be installed:

  • unrar:

    • macOS: brew install unrar
    • Ubuntu/Debian: sudo apt-get install unrar
    • Windows: Install WinRAR
  • unar:

    • macOS: brew install unar
    • Ubuntu/Debian: sudo apt-get install unar
    • Windows: Install The Unarchiver
  • 7-Zip:

    • macOS: brew install p7zip
    • Ubuntu/Debian: sudo apt-get install p7zip-full
    • Windows: Install 7-Zip

For ZIP file extraction (IBGE files)

Some IBGE files use compression methods not supported by Python's built-in zipfile module. The following functions use the system's unzip command:

  • read_census_tract_2022
  • read_neighborhoods_2022

Make sure you have the unzip command available on your system:

  • macOS: Typically pre-installed
  • Ubuntu/Debian: sudo apt-get install unzip
  • Windows: Install a tool like 7-Zip or add unzip via WSL

Translation Status

Function Translated? Easy?
read_amazon Yes Super
read_biomes Yes Super
read_census_tract Yes No
read_comparable_areas Yes Yes
read_conservation_units Yes Super
read_country Yes Super
read_disaster_risk_area Yes Super
read_health_facilities Yes Super
read_health_region Yes Super
read_immediate_region Yes Yes
read_indigenous_land Yes Super
read_intermediate_region Yes Yes
read_meso_region Yes No
read_metro_area Yes Super
read_micro_region Yes No
read_municipal_seat Yes Super
read_municipality Yes No
read_region Yes Super
read_semiarid Yes Super
read_state Yes Super
read_statistical_grid Yes No
read_urban_area Yes Super
read_urban_concentrations Yes Super
read_weighting_area Yes No
list_geobr Yes Yes
lookup_muni Yes No
read_neighborhood Yes Yes

Release new version

poetry version [patch|minor|major]
poetry publish --build

Metadata

Release files for tunned-geobr 1.1.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for tunned-geobr 1.1.3
File Size Uploaded
tunned_geobr-1.1.3.tar.gz 90.8 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for tunned-geobr 1.1.3
File Interpreter ABI Platform
tunned_geobr-1.1.3-py3-none-any.whl Python 3 none any Details

Total release size: 372.8 kB

Release files / tunned_geobr-1.1.3.tar.gz

Download URL tunned_geobr-1.1.3.tar.gz
Size 90.8 kB
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Release files / tunned_geobr-1.1.3-py3-none-any.whl

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Size 281.9 kB
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What is trusted publishing?
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Uploaded via twine/6.1.0 CPython/3.9.23

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