Package Version Editable project location ------------------------------- -------------- --------------------------------------- -accelerate 0.34.2 access 1.1.9 aenum 3.1.15 affine 2.4.0 @@ -1339,7 +1338,6 @@Installed packagesInstalled packagesInstalled packagesInstalled packagesInstalled packages - -
-duckdb 1.1.0 +duckdb 1.1.0 earthaccess 0.10.0 earthengine-api 1.1.0 earthpy 0.9.4 @@ -1416,12 +1403,8 @@Installed packagesInstalled packagesInstalled packagesInstalled packagesInstalled packagesInstalled packagesInstalled packagesInstalled packagesInstalled packagesInstalled packagesInstalled packagesInstalled packages + +
+toolz 0.12.1 tornado 6.4.1 tox 4.20.0 tqdm 4.66.5 traitlets 5.14.3 traittypes 0.2.1 -triton 3.0.0 trollimage 1.25.0 trollsift 0.5.1 twine 5.1.1 -typer 0.12.5 types-python-dateutil 2.9.0.20240906 typing_extensions 4.12.2 typing-inspect 0.9.0 @@ -1827,12 +1783,9 @@!pip listInstalled packagesInstalled packages!pip list\n
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"},{"location":"#disclaimer","title":"Disclaimer\u00b6","text":"
- Free software: MIT license
- Documentation: https://geospatial.gishub.org
Currently, the
"},{"location":"#installation","title":"Installation\u00b6","text":""},{"location":"#uv","title":"uv\u00b6","text":"geospatialpackage only helps you install commonly used packages for geospatial analysis and data visualization with only one command, making it easier to set up a conda environment for geospatial analysis and avoid dependency conflicts during installation. Thegeospatialpackage itself does not have any meaningful functions yet. After installation, you can continue to the commonly used geospatial packages as usual.uv is an extremely fast Python package and project manager, written in Rust. It is designed to be a drop-in replacement for pip. You can install
geospatialusinguvas follows:uv pip install geospatial\nuv pip install --find-links https://girder.github.io/large_image_wheels gdal pdal pyproj\n"},{"location":"#mamba","title":"Mamba\u00b6","text":"Installing commonly used packages for geospatial analysis and data visualization with only one command.
mamba install -c conda-forge geospatial\n"},{"location":"#video-tutorial","title":"Video Tutorial\u00b6","text":""},{"location":"#conda-forge-recipe","title":"Conda-forge recipe\u00b6","text":"The recipe of the geospatial Python package on the conda-forge channel:
"},{"location":"#suggestions-for-adding-packages-to-geospatial","title":"Suggestions for adding packages to geospatial\u00b6","text":"- python >=3.9\n- apache-sedona\n- bokeh\n- cartopy\n- cenpy\n- contextily\n- cubo\n- dask-geopandas\n- datashader\n- earthaccess\n- earthengine-api\n- earthpy\n- easystac\n- eemont\n- eomaps\n- eoreader\n- fiona\n- folium >=0.12.1\n- geemap >=0.30.4\n- geoalchemy2\n- geocube\n- geopandas >=0.10.2\n- geotiff\n- geosnap\n- geoviews\n- h3\n- h3-py\n- hvplot\n- ipygany\n- ipyleaflet >=0.16.0\n- ipyvtklink\n- keplergl\n- laspy\n- leafmap >=0.31.0\n- lidar\n- localtileserver >=0.10.0\n- mapboxgl\n- mapclassify\n- mapwidget\n- movingpandas\n- netcdf4\n- odc-stac\n- osmnx\n- owslib\n- panel\n- palettable\n- pillow\n- planetary-computer\n- plotly\n- psycopg2\n- pydeck\n- pygis >=0.6.0\n- pyntcloud\n- pysal\n- pyshp\n- pystac-client\n- python-mss\n- pyvista\n- radiant-mlhub\n- rasterio\n- rasterstats\n- rio-cogeo\n- rioxarray\n- s2cloudless\n- sarpy\n- satpy\n- sentinelsat\n- shapely\n- simplekml\n- sliderule\n- spyndex\n- sqlalchemy\n- stackstac\n- tropycal\n- usgs\n- whitebox\n- whiteboxgui\n- wxee\n- xarray\n- xarray-spatial\n- xee\n- xmovie\n- xyzservicesIf you would like to suggest new packages to be added to the geospatial stack, please follow the steps below:
"},{"location":"#installed-packages","title":"Installed packages\u00b6","text":"
Check the Installed packages section to see if the suggested packages are listed. If they are already listed, then you can skip the following steps.
Search the suggested packages on conda-forge and make sure they can be found there. If not, that means the suggested packages are not available on conda-forge. If this is the case, then they cannot be added to the geospatial stack. Then you can skip the following step.
Leave the names of suggested packages on the geospatial GitHub repo if they meet the above requirements. I will then test the suggested packages and add them to the geospatial stack as appropriate.
The complete list of Python packages that will be installed along with geospatial.
"},{"location":"changelog/","title":"Changelog","text":""},{"location":"changelog/#v090-jul-28-2023","title":"v0.9.0 - Jul 28, 2023","text":""},{"location":"changelog/#v080-apr-24-2023","title":"v0.8.0 - Apr 24, 2023","text":"
- Fixed windows build error (#34)
- Removed gemgis (#32)
- Added Dockerfile and Docker Build Image workflow (#33)
Updated GitHub actions
"},{"location":"changelog/#v071-apr-23-2023","title":"v0.7.1 - Apr 23, 2023","text":"Added simplekml and mapwidget
"},{"location":"changelog/#v070-nov-29-2022","title":"v0.7.0 - Nov 29, 2022","text":"Removed some packages to make it easier to install on Colab.
"},{"location":"changelog/#v061-jun-27-2022","title":"v0.6.1 - Jun 27, 2022","text":"
- pygis
- tropycal
Added the folloowing packages:
"},{"location":"changelog/#v056-apr-16-2022","title":"v0.5.6 - Apr 16, 2022","text":"
- pygis
- tropycal
Added the folloowing packages:
"},{"location":"changelog/#v055-apr-14-2022","title":"v0.5.5 - Apr 14, 2022","text":"
- contextily
- sliderule
Added the folloowing packages:
"},{"location":"changelog/#v054-apr-13-2022","title":"v0.5.4 - Apr 13, 2022","text":"
- geocube
Added the folloowing packages:
"},{"location":"changelog/#v053-apr-13-2022","title":"v0.5.3 - Apr 13, 2022","text":"
- jupytext
Added the folloowing packages:
"},{"location":"changelog/#v052-apr-6-2022","title":"v0.5.2 - Apr 6, 2022","text":"
- cenpy
- h3
Removed pysal because it fails
"},{"location":"changelog/#v051-apr-6-2022","title":"v0.5.1 - Apr 6, 2022","text":"pip checkon conda-forgeAdded the folloowing packages:
"},{"location":"changelog/#v055-apr-5-2022","title":"v0.5.5 - Apr 5, 2022","text":"
- pysal
- odc-stac
Bring
"},{"location":"changelog/#v040-apr-5-2022","title":"v0.4.0 - Apr 5, 2022","text":"requirements.txtup to date.Added the folloowing packages:
"},{"location":"changelog/#v031-apr-4-2022","title":"v0.3.1 - Apr 4, 2022","text":"
- earthengine-api
- easystac
- eemont
- eomaps
- geoalchemy2
- planetary-computer
- proplot
- radiant-mlhub
- s2cloudless
- spyndex
- stackstac
Added GemGIS, MovingPandas, EarthPy and SatPy
"},{"location":"changelog/#v030-apr-3-2022","title":"v0.3.0 - Apr 3, 2022","text":"Initial release.
"},{"location":"contributing/","title":"Contributing","text":"Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given.
You can contribute in many ways:
"},{"location":"contributing/#types-of-contributions","title":"Types of Contributions","text":""},{"location":"contributing/#report-bugs","title":"Report Bugs","text":"Report bugs at https://github.com/opengeos/geospatial/issues.
If you are reporting a bug, please include:
"},{"location":"contributing/#fix-bugs","title":"Fix Bugs","text":"
- Your operating system name and version.
- Any details about your local setup that might be helpful in troubleshooting.
- Detailed steps to reproduce the bug.
Look through the GitHub issues for bugs. Anything tagged with
"},{"location":"contributing/#implement-features","title":"Implement Features","text":"bugandhelp wantedis open to whoever wants to implement it.Look through the GitHub issues for features. Anything tagged with
"},{"location":"contributing/#write-documentation","title":"Write Documentation","text":"enhancementandhelp wantedis open to whoever wants to implement it.geospatial could always use more documentation, whether as part of the official geospatial docs, in docstrings, or even on the web in blog posts, articles, and such.
"},{"location":"contributing/#submit-feedback","title":"Submit Feedback","text":"The best way to send feedback is to file an issue at https://github.com/opengeos/geospatial/issues.
If you are proposing a feature:
"},{"location":"contributing/#get-started","title":"Get Started!","text":"
- Explain in detail how it would work.
- Keep the scope as narrow as possible, to make it easier to implement.
- Remember that this is a volunteer-driven project, and that contributions are welcome :)
Ready to contribute? Here's how to set up geospatial for local development.
"},{"location":"contributing/#pull-request-guidelines","title":"Pull Request Guidelines","text":"
Fork the geospatial repo on GitHub.
Clone your fork locally:
$ git clone git@github.com:your_name_here/geospatial.git\nInstall your local copy into a virtualenv. Assuming you have virtualenvwrapper installed, this is how you set up your fork for local development:
$ mkvirtualenv geospatial\n$ cd geospatial/\n$ python setup.py develop\nCreate a branch for local development:
$ git checkout -b name-of-your-bugfix-or-feature\nNow you can make your changes locally.
When you're done making changes, check that your changes pass flake8 and the tests, including testing other Python versions with tox:
$ flake8 geospatial tests\n$ python setup.py test or pytest\n$ tox\nTo get flake8 and tox, just pip install them into your virtualenv.
Commit your changes and push your branch to GitHub:
$ git add .\n$ git commit -m \"Your detailed description of your changes.\"\n$ git push origin name-of-your-bugfix-or-feature\nSubmit a pull request through the GitHub website.
Before you submit a pull request, check that it meets these guidelines:
"},{"location":"geospatial/","title":"geospatial module","text":"
- The pull request should include tests.
- If the pull request adds functionality, the docs should be updated. Put your new functionality into a function with a docstring, and add the feature to the list in README.rst.
- The pull request should work for Python 3.5, 3.6, 3.7 and 3.8, and for PyPy. Check https://github.com/opengeos/geospatial/pull_requests and make sure that the tests pass for all supported Python versions.
Main module.
"},{"location":"installation/","title":"Installation","text":"The geospatial package has many dependencies, such as GeoPandas and localtileserver. These optional dependencies can sometimes be a challenge to install, especially on Windows. Therefore, we advise you to closely follow the recommendations below to avoid installation problems.
"},{"location":"installation/#video-tutorial","title":"Video Tutorial","text":""},{"location":"installation/#installing-using-uv","title":"Installing using uv","text":"uv is an extremely fast Python package and project manager, written in Rust. It is designed to be a drop-in replacement for pip. You can install
geospatialusinguvas follows:"},{"location":"installation/#installing-with-anacondaminiconda","title":"Installing with Anaconda/Miniconda","text":"uv pip install geospatial\nuv pip install --find-links https://girder.github.io/large_image_wheels gdal pdal pyproj\nTo install geospatial and all its dependencies, we recommend you use the conda package manager. This can be obtained by installing the Anaconda Distribution (a free Python distribution for data science), or through Miniconda (minimal distribution only containing Python and the conda package manager). See also the installation docs for more information on how to install Anaconda or Miniconda locally.
"},{"location":"installation/#using-the-conda-forge-channel","title":"Using the conda-forge channel","text":"Geospatial is available on the conda-forge channel, a community effort that provides conda packages for a wide range of software.
"},{"location":"installation/#creating-a-new-conda-environment","title":"Creating a new conda environment","text":"conda install -c conda-forge geospatial\nCreating a new environment is not strictly necessary, but given that some geospatial dependencies might have a version conflict with other geospatial packages in an existing conda environment, it is a good practice to install geospatial and its dependencies in a clean environment starting fresh.
The following commands create a new conda environment with the name
geoand install geospatial and its dependencies (e.g., GeoPandas, localtileserver) in it:conda create -n geo python=3.9\nconda activate geo\nconda install geopandas\nconda install geospatial -c conda-forge\nImportant note: If you are using Windows, we advise you to closely follow the installation instructions above to install GeoPandas from the default conda channel (
conda install geopandas) rather than from the conda-forge channel. This can avoid a potentialspatialindex_c-64.dllerror when using GeoPandas (source). If you are using Linux or macOS, it is okay to install all geospatial dependencies from the conda-forge channel with the following command:"},{"location":"installation/#using-mamba","title":"Using Mamba","text":"conda install -c conda-forge geospatial\nWhen installing packages using the conda package manager, sometimes it can take a while for conda to resolve dependencies. If it takes too long or fails to resolve dependencies, you can try using the Mamba package manager to install geospatial and its dependencies. Mamba is a fast, robust, and cross-platform package manager. It runs on Windows, macOS, and Linux, and is fully compatible with conda packages and supports most of conda\u2019s commands. Once Mamba is installed in a conda environment, you can then simply replace any
condacommand withmamba. For example, to install geospatial and its dependencies with Mamba, you can use the following commands:"},{"location":"installation/#installing-with-pip","title":"Installing with pip","text":"conda create -n geo python=3.9\nconda activate geo\nconda install -c conda-forge mamba\nmamba install geopandas\nmamba install -c conda-forge geospatial\ngeospatial is also available on PyPI. It can be installed with pip using the following command:
pip install geospatial\nAll optional dependencies of geospatial are listed in requirements_dev.txt.
"},{"location":"installation/#installing-from-source","title":"Installing from source","text":"You may install the latest development version by cloning the GitHub repository with Git and using pip to install from the local directory:
git clone https://github.com/opengeos/geospatial.git\ncd geospatial\npip install .\nIt is also possible to install the latest development version directly from the GitHub repository with:
"},{"location":"installation/#using-docker","title":"Using Docker","text":"pip install git+https://github.com/opengeos/geospatial.git\nIf you are familiar with Docker, you can use the following command to pull the latest geospatial image from the GitHub Container Registry
"},{"location":"installation/#upgrading-geospatial","title":"Upgrading geospatial","text":"docker pull ghcr.io/opengeos/geospatial:latest\nIf you have installed geospatial before and want to upgrade to the latest version, you can run the following command in your terminal:
pip install -U geospatial\nIf you use conda, you can update geospatial to the latest version by running the following command in your terminal:
"},{"location":"usage/","title":"Usage","text":"conda update -c conda-forge geospatial\nCurrently, the
geospatialpackage only helps you install commonly used packages for geospatial analysis and data visualization with only one command, making it easier to set up a conda environment for geospatial analysis and avoid dependency conflicts during installation. Thegeospatialpackage itself does not have any meaningful functions yet. After installation, you can continue to the commonly used geospatial packages as usual. For example:"}]} \ No newline at end of file +{"config":{"lang":["en"],"separator":"[\\s\\-]+","pipeline":["stopWordFilter"]},"docs":[{"location":"","title":"Home","text":"In\u00a0[1]: Copied!import leafmap\nm = leafmap.Map()\nm\n!pip list\n!pip listPackage Version Editable project location\r\n------------------------------- -------------- ---------------------------------------\r\naccess 1.1.9\r\naenum 3.1.15\r\naffine 2.4.0\r\naiobotocore 2.15.1\r\naiohappyeyeballs 2.4.0\r\naiohttp 3.10.5\r\naioitertools 0.12.0\r\naiosignal 1.3.1\r\nalabaster 1.0.0\r\naniso8601 9.0.1\r\nannotated-types 0.7.0\r\nanyio 4.6.0\r\nanywidget 0.9.13\r\napache-sedona 1.6.1\r\nappdirs 1.4.4\r\nargon2-cffi 23.1.0\r\nargon2-cffi-bindings 21.2.0\r\narrow 1.3.0\r\nasciitree 0.3.3\r\nasgiref 3.8.1\r\nasttokens 2.4.1\r\nasync-lru 2.0.4\r\nattrs 24.2.0\r\nazure-core 1.31.0\r\nazure-storage-blob 12.23.0\r\nazure-storage-file-datalake 12.17.0\r\nbabel 2.16.0\r\nbeautifulsoup4 4.12.3\r\nblack 24.8.0\r\nbleach 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24.8.0\r\nwebencodings 0.5.1\r\nwebsocket-client 1.8.0\r\nwebsockets 13.1\r\nWerkzeug 3.0.4\r\nwheel 0.44.0\r\nwhitebox 2.3.5\r\nwhiteboxgui 2.3.0\r\nwidgetsnbextension 3.6.9\r\nwirerope 0.4.7\r\nwrapt 1.16.0\r\nwxee 0.4.2\r\nxarray 2024.7.0\r\nxarray-spatial 0.4.0\r\nxee 0.0.15\r\nxyzservices 2024.9.0\r\nyarl 1.11.1\r\nzarr 2.12.0\r\nzict 3.0.0\r\nzipp 3.20.2\r\nzopfli 0.2.3\r\n"},{"location":"#welcome-to-geospatial","title":"Welcome to geospatial\u00b6","text":"A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.
"},{"location":"#disclaimer","title":"Disclaimer\u00b6","text":"
- Free software: MIT license
- Documentation: https://geospatial.gishub.org
Currently, the
"},{"location":"#installation","title":"Installation\u00b6","text":""},{"location":"#uv","title":"uv\u00b6","text":"geospatialpackage only helps you install commonly used packages for geospatial analysis and data visualization with only one command, making it easier to set up a conda environment for geospatial analysis and avoid dependency conflicts during installation. Thegeospatialpackage itself does not have any meaningful functions yet. After installation, you can continue to the commonly used geospatial packages as usual.uv is an extremely fast Python package and project manager, written in Rust. It is designed to be a drop-in replacement for pip. You can install
geospatialusinguvas follows:uv pip install geospatial\nuv pip install --find-links https://girder.github.io/large_image_wheels gdal pdal pyproj\n"},{"location":"#mamba","title":"Mamba\u00b6","text":"Installing commonly used packages for geospatial analysis and data visualization with only one command.
mamba install -c conda-forge geospatial\n"},{"location":"#video-tutorial","title":"Video Tutorial\u00b6","text":""},{"location":"#conda-forge-recipe","title":"Conda-forge recipe\u00b6","text":"The recipe of the geospatial Python package on the conda-forge channel:
"},{"location":"#suggestions-for-adding-packages-to-geospatial","title":"Suggestions for adding packages to geospatial\u00b6","text":"- python >=3.9\n- apache-sedona\n- bokeh\n- cartopy\n- cenpy\n- contextily\n- cubo\n- dask-geopandas\n- datashader\n- earthaccess\n- earthengine-api\n- earthpy\n- easystac\n- eemont\n- eomaps\n- eoreader\n- fiona\n- folium >=0.12.1\n- geemap >=0.30.4\n- geoalchemy2\n- geocube\n- geopandas >=0.10.2\n- geotiff\n- geosnap\n- geoviews\n- h3\n- h3-py\n- hvplot\n- ipygany\n- ipyleaflet >=0.16.0\n- ipyvtklink\n- keplergl\n- laspy\n- leafmap >=0.31.0\n- lidar\n- localtileserver >=0.10.0\n- mapboxgl\n- mapclassify\n- mapwidget\n- movingpandas\n- netcdf4\n- odc-stac\n- osmnx\n- owslib\n- panel\n- palettable\n- pillow\n- planetary-computer\n- plotly\n- psycopg2\n- pydeck\n- pygis >=0.6.0\n- pyntcloud\n- pysal\n- pyshp\n- pystac-client\n- python-mss\n- pyvista\n- radiant-mlhub\n- rasterio\n- rasterstats\n- rio-cogeo\n- rioxarray\n- s2cloudless\n- sarpy\n- satpy\n- sentinelsat\n- shapely\n- simplekml\n- sliderule\n- spyndex\n- sqlalchemy\n- stackstac\n- tropycal\n- usgs\n- whitebox\n- whiteboxgui\n- wxee\n- xarray\n- xarray-spatial\n- xee\n- xmovie\n- xyzservicesIf you would like to suggest new packages to be added to the geospatial stack, please follow the steps below:
"},{"location":"#installed-packages","title":"Installed packages\u00b6","text":"
Check the Installed packages section to see if the suggested packages are listed. If they are already listed, then you can skip the following steps.
Search the suggested packages on conda-forge and make sure they can be found there. If not, that means the suggested packages are not available on conda-forge. If this is the case, then they cannot be added to the geospatial stack. Then you can skip the following step.
Leave the names of suggested packages on the geospatial GitHub repo if they meet the above requirements. I will then test the suggested packages and add them to the geospatial stack as appropriate.
The complete list of Python packages that will be installed along with geospatial.
"},{"location":"changelog/","title":"Changelog","text":""},{"location":"changelog/#v090-jul-28-2023","title":"v0.9.0 - Jul 28, 2023","text":""},{"location":"changelog/#v080-apr-24-2023","title":"v0.8.0 - Apr 24, 2023","text":"
- Fixed windows build error (#34)
- Removed gemgis (#32)
- Added Dockerfile and Docker Build Image workflow (#33)
Updated GitHub actions
"},{"location":"changelog/#v071-apr-23-2023","title":"v0.7.1 - Apr 23, 2023","text":"Added simplekml and mapwidget
"},{"location":"changelog/#v070-nov-29-2022","title":"v0.7.0 - Nov 29, 2022","text":"Removed some packages to make it easier to install on Colab.
"},{"location":"changelog/#v061-jun-27-2022","title":"v0.6.1 - Jun 27, 2022","text":"
- pygis
- tropycal
Added the folloowing packages:
"},{"location":"changelog/#v056-apr-16-2022","title":"v0.5.6 - Apr 16, 2022","text":"
- pygis
- tropycal
Added the folloowing packages:
"},{"location":"changelog/#v055-apr-14-2022","title":"v0.5.5 - Apr 14, 2022","text":"
- contextily
- sliderule
Added the folloowing packages:
"},{"location":"changelog/#v054-apr-13-2022","title":"v0.5.4 - Apr 13, 2022","text":"
- geocube
Added the folloowing packages:
"},{"location":"changelog/#v053-apr-13-2022","title":"v0.5.3 - Apr 13, 2022","text":"
- jupytext
Added the folloowing packages:
"},{"location":"changelog/#v052-apr-6-2022","title":"v0.5.2 - Apr 6, 2022","text":"
- cenpy
- h3
Removed pysal because it fails
"},{"location":"changelog/#v051-apr-6-2022","title":"v0.5.1 - Apr 6, 2022","text":"pip checkon conda-forgeAdded the folloowing packages:
"},{"location":"changelog/#v055-apr-5-2022","title":"v0.5.5 - Apr 5, 2022","text":"
- pysal
- odc-stac
Bring
"},{"location":"changelog/#v040-apr-5-2022","title":"v0.4.0 - Apr 5, 2022","text":"requirements.txtup to date.Added the folloowing packages:
"},{"location":"changelog/#v031-apr-4-2022","title":"v0.3.1 - Apr 4, 2022","text":"
- earthengine-api
- easystac
- eemont
- eomaps
- geoalchemy2
- planetary-computer
- proplot
- radiant-mlhub
- s2cloudless
- spyndex
- stackstac
Added GemGIS, MovingPandas, EarthPy and SatPy
"},{"location":"changelog/#v030-apr-3-2022","title":"v0.3.0 - Apr 3, 2022","text":"Initial release.
"},{"location":"contributing/","title":"Contributing","text":"Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given.
You can contribute in many ways:
"},{"location":"contributing/#types-of-contributions","title":"Types of Contributions","text":""},{"location":"contributing/#report-bugs","title":"Report Bugs","text":"Report bugs at https://github.com/opengeos/geospatial/issues.
If you are reporting a bug, please include:
"},{"location":"contributing/#fix-bugs","title":"Fix Bugs","text":"
- Your operating system name and version.
- Any details about your local setup that might be helpful in troubleshooting.
- Detailed steps to reproduce the bug.
Look through the GitHub issues for bugs. Anything tagged with
"},{"location":"contributing/#implement-features","title":"Implement Features","text":"bugandhelp wantedis open to whoever wants to implement it.Look through the GitHub issues for features. Anything tagged with
"},{"location":"contributing/#write-documentation","title":"Write Documentation","text":"enhancementandhelp wantedis open to whoever wants to implement it.geospatial could always use more documentation, whether as part of the official geospatial docs, in docstrings, or even on the web in blog posts, articles, and such.
"},{"location":"contributing/#submit-feedback","title":"Submit Feedback","text":"The best way to send feedback is to file an issue at https://github.com/opengeos/geospatial/issues.
If you are proposing a feature:
"},{"location":"contributing/#get-started","title":"Get Started!","text":"
- Explain in detail how it would work.
- Keep the scope as narrow as possible, to make it easier to implement.
- Remember that this is a volunteer-driven project, and that contributions are welcome :)
Ready to contribute? Here's how to set up geospatial for local development.
"},{"location":"contributing/#pull-request-guidelines","title":"Pull Request Guidelines","text":"
Fork the geospatial repo on GitHub.
Clone your fork locally:
$ git clone git@github.com:your_name_here/geospatial.git\nInstall your local copy into a virtualenv. Assuming you have virtualenvwrapper installed, this is how you set up your fork for local development:
$ mkvirtualenv geospatial\n$ cd geospatial/\n$ python setup.py develop\nCreate a branch for local development:
$ git checkout -b name-of-your-bugfix-or-feature\nNow you can make your changes locally.
When you're done making changes, check that your changes pass flake8 and the tests, including testing other Python versions with tox:
$ flake8 geospatial tests\n$ python setup.py test or pytest\n$ tox\nTo get flake8 and tox, just pip install them into your virtualenv.
Commit your changes and push your branch to GitHub:
$ git add .\n$ git commit -m \"Your detailed description of your changes.\"\n$ git push origin name-of-your-bugfix-or-feature\nSubmit a pull request through the GitHub website.
Before you submit a pull request, check that it meets these guidelines:
"},{"location":"geospatial/","title":"geospatial module","text":"
- The pull request should include tests.
- If the pull request adds functionality, the docs should be updated. Put your new functionality into a function with a docstring, and add the feature to the list in README.rst.
- The pull request should work for Python 3.5, 3.6, 3.7 and 3.8, and for PyPy. Check https://github.com/opengeos/geospatial/pull_requests and make sure that the tests pass for all supported Python versions.
Main module.
"},{"location":"installation/","title":"Installation","text":"The geospatial package has many dependencies, such as GeoPandas and localtileserver. These optional dependencies can sometimes be a challenge to install, especially on Windows. Therefore, we advise you to closely follow the recommendations below to avoid installation problems.
"},{"location":"installation/#video-tutorial","title":"Video Tutorial","text":""},{"location":"installation/#installing-using-uv","title":"Installing using uv","text":"uv is an extremely fast Python package and project manager, written in Rust. It is designed to be a drop-in replacement for pip. You can install
geospatialusinguvas follows:"},{"location":"installation/#installing-with-anacondaminiconda","title":"Installing with Anaconda/Miniconda","text":"uv pip install geospatial\nuv pip install --find-links https://girder.github.io/large_image_wheels gdal pdal pyproj\nTo install geospatial and all its dependencies, we recommend you use the conda package manager. This can be obtained by installing the Anaconda Distribution (a free Python distribution for data science), or through Miniconda (minimal distribution only containing Python and the conda package manager). See also the installation docs for more information on how to install Anaconda or Miniconda locally.
"},{"location":"installation/#using-the-conda-forge-channel","title":"Using the conda-forge channel","text":"Geospatial is available on the conda-forge channel, a community effort that provides conda packages for a wide range of software.
"},{"location":"installation/#creating-a-new-conda-environment","title":"Creating a new conda environment","text":"conda install -c conda-forge geospatial\nCreating a new environment is not strictly necessary, but given that some geospatial dependencies might have a version conflict with other geospatial packages in an existing conda environment, it is a good practice to install geospatial and its dependencies in a clean environment starting fresh.
The following commands create a new conda environment with the name
geoand install geospatial and its dependencies (e.g., GeoPandas, localtileserver) in it:conda create -n geo python=3.9\nconda activate geo\nconda install geopandas\nconda install geospatial -c conda-forge\nImportant note: If you are using Windows, we advise you to closely follow the installation instructions above to install GeoPandas from the default conda channel (
conda install geopandas) rather than from the conda-forge channel. This can avoid a potentialspatialindex_c-64.dllerror when using GeoPandas (source). If you are using Linux or macOS, it is okay to install all geospatial dependencies from the conda-forge channel with the following command:"},{"location":"installation/#using-mamba","title":"Using Mamba","text":"conda install -c conda-forge geospatial\nWhen installing packages using the conda package manager, sometimes it can take a while for conda to resolve dependencies. If it takes too long or fails to resolve dependencies, you can try using the Mamba package manager to install geospatial and its dependencies. Mamba is a fast, robust, and cross-platform package manager. It runs on Windows, macOS, and Linux, and is fully compatible with conda packages and supports most of conda\u2019s commands. Once Mamba is installed in a conda environment, you can then simply replace any
condacommand withmamba. For example, to install geospatial and its dependencies with Mamba, you can use the following commands:"},{"location":"installation/#installing-with-pip","title":"Installing with pip","text":"conda create -n geo python=3.9\nconda activate geo\nconda install -c conda-forge mamba\nmamba install geopandas\nmamba install -c conda-forge geospatial\ngeospatial is also available on PyPI. It can be installed with pip using the following command:
pip install geospatial\nAll optional dependencies of geospatial are listed in requirements_dev.txt.
"},{"location":"installation/#installing-from-source","title":"Installing from source","text":"You may install the latest development version by cloning the GitHub repository with Git and using pip to install from the local directory:
git clone https://github.com/opengeos/geospatial.git\ncd geospatial\npip install .\nIt is also possible to install the latest development version directly from the GitHub repository with:
"},{"location":"installation/#using-docker","title":"Using Docker","text":"pip install git+https://github.com/opengeos/geospatial.git\nIf you are familiar with Docker, you can use the following command to pull the latest geospatial image from the GitHub Container Registry
"},{"location":"installation/#upgrading-geospatial","title":"Upgrading geospatial","text":"docker pull ghcr.io/opengeos/geospatial:latest\nIf you have installed geospatial before and want to upgrade to the latest version, you can run the following command in your terminal:
pip install -U geospatial\nIf you use conda, you can update geospatial to the latest version by running the following command in your terminal:
"},{"location":"usage/","title":"Usage","text":"conda update -c conda-forge geospatial\nCurrently, the
geospatialpackage only helps you install commonly used packages for geospatial analysis and data visualization with only one command, making it easier to set up a conda environment for geospatial analysis and avoid dependency conflicts during installation. Thegeospatialpackage itself does not have any meaningful functions yet. After installation, you can continue to the commonly used geospatial packages as usual. For example:"}]} \ No newline at end of fileimport leafmap\nm = leafmap.Map()\nm\n