Skip to main content

Fork personalizado do geobr com funcionalidades extras como download de dados da ANM

Project description

geobr: Download Official Spatial Data Sets of Brazil

logo logo

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).

READ FULL DOCS

Contribute

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tunned_geobr-1.0.40.tar.gz (89.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

tunned_geobr-1.0.40-py3-none-any.whl (277.4 kB view details)

Uploaded Python 3

File details

Details for the file tunned_geobr-1.0.40.tar.gz.

File metadata

  • Download URL: tunned_geobr-1.0.40.tar.gz
  • Upload date:
  • Size: 89.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.23

File hashes

Hashes for tunned_geobr-1.0.40.tar.gz
Algorithm Hash digest
SHA256 b51c07e95d6bf1ac639fe1db28570f449487cf73e0c98efa4b62752f73a70105
MD5 08f7d54e272f1543f1d85caae7304528
BLAKE2b-256 bca188934236e19040fb3ca06e59d3b87f325e436a1ff5220ef05f41a1873a93

See more details on using hashes here.

File details

Details for the file tunned_geobr-1.0.40-py3-none-any.whl.

File metadata

  • Download URL: tunned_geobr-1.0.40-py3-none-any.whl
  • Upload date:
  • Size: 277.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.23

File hashes

Hashes for tunned_geobr-1.0.40-py3-none-any.whl
Algorithm Hash digest
SHA256 9879a23864f4cdad362d4ebe5c92c3a6f8a7ac52bbe47103e990304ebdd7a143
MD5 5b0bb922bacf86fac327f67eeac87d56
BLAKE2b-256 ed693ef9a808222f3113d6d1f26632d6fae3aee029faea8cb6c19c464498fa11

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page