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On this page
  • Cartopy
  • Fiona
  • GDAL (Geospatial Data Abstraction Library)
  • Geopandas
  • Matplotlib Basemap Toolkit
  • NetCDF4
  • NumPy
  • Pandas
  • Pyproj
  • Rasterio
  • Scikit-learn
  • SciPy
  • Xarray

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  1. Disciplines

๐ŸŒ Geography and Geosciences

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Last updated 1 year ago

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Cartopy

  • Description: A library designed for geospatial data processing to produce maps and other geospatial data analyses.

  • Use Case: Creating maps and analyzing geospatial data, ideal for geographical analyses and environmental science.

  • Documentation:

  • GitHub Repository:

Fiona

  • Description: A tool for reading and writing spatial data files.

  • Use Case: Handling and processing geospatial data, particularly useful for geographic data manipulation and analysis.

  • Documentation:

  • GitHub Repository:

GDAL (Geospatial Data Abstraction Library)

  • Description: A translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source License by the Open Source Geospatial Foundation.

  • Use Case: Reading and writing a wide range of geospatial raster and vector data formats. Widely used in the geosciences for data preprocessing.

  • Documentation:

  • GitHub Repository: Not applicable; see the official GDAL website.

Geopandas

  • Description: An open-source project to make working with geospatial data in Python easier, which extends the datatypes used by pandas to allow spatial operations on geometric types.

  • Use Case: Manipulating geographical data and performing operations such as projections, spatial joins, and plotting.

Matplotlib Basemap Toolkit

  • Description: An extension to Matplotlib that allows you to plot data on map projections.

  • Use Case: Plotting 2D data on maps; used in geography and geoscience for visualizing Earth-related datasets on a map.

  • Documentation: Basemap is deprecated in favor of Cartopy, but many still use it for its simplicity in certain cases.

NetCDF4

  • Description: A Python interface to the netCDF C library.

  • Use Case: Reading, writing, and analyzing complex scientific data stored in NetCDF format, commonly used for multidimensional geoscientific data.

NumPy

  • Description: Fundamental package for scientific computing with Python.

  • Use Case: Basic numerical calculations essential for data processing in geography and geosciences.

Pandas

  • Description: Data analysis and manipulation library.

  • Use Case: Organizing and analyzing geospatial and environmental datasets, such as climate data records or geographical surveys.

Pyproj

  • Description: A Python interface to PROJ (cartographic projections and coordinate transformations library).

  • Use Case: Performing cartographic transformations and managing geographical projections in geospatial analyses.

Rasterio

  • Description: A library for raster data processing.

  • Use Case: Reading, writing, and analyzing raster data, such as satellite imagery or digital elevation models.

Scikit-learn

  • Description: Machine learning in Python.

  • Use Case: Implementing machine learning algorithms for predictive modeling and analysis in geosciences, such as predicting climate change impacts or land use changes.

SciPy

  • Description: An open-source Python library used for scientific and technical

computing.

  • Use Case: Scientific computations including statistics, optimization, and signal processing, supporting various geoscience applications.

Xarray

  • Description: An open-source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun!

  • Use Case: Handling and analyzing large multi-dimensional geoscientific datasets, particularly effective for meteorological and oceanographic data.


Documentation:

GitHub Repository:

Documentation:

GitHub Repository:

Documentation:

GitHub Repository:

Documentation:

GitHub Repository:

Documentation:

GitHub Repository:

Documentation:

GitHub Repository:

Documentation:

GitHub Repository:

Documentation:

GitHub Repository:

Documentation:

GitHub Repository:

Cartopy Documentation
Cartopy GitHub
Fiona Documentation
Fiona GitHub
GDAL Documentation
GeoPandas Documentation
GeoPandas GitHub
NetCDF4 Documentation
NetCDF4 GitHub
NumPy Documentation
NumPy GitHub
Pandas Documentation
Pandas GitHub
Pyproj Documentation
Pyproj GitHub
Rasterio Documentation
Rasterio GitHub
Scikit-learn Documentation
Scikit-learn GitHub
SciPy Documentation
SciPy GitHub
Xarray Documentation
Xarray GitHub