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A python class for working with Equi7Grid - how to convert to - how to use the tiling system - etc.

It's a python package that handles the geometric and geographic operations of a gridded and tiled projection system. It was designed for data cubes ingesting satellite imagery and builds the basis for the Equi7Grid (see

A detailed documentation on the Equi7Grid definition is at:


Overlays for visualisation in Google Earth can be found here:


The 7 projections are completely defined by WKT-strings in the .prj-files, or simply by following proj4-strings:

AF: '+proj=aeqd +lat_0=8.5 +lon_0=21.5 +x_0=5621452.01998 +y_0=5990638.42298 +datum=WGS84 +units=m +no_defs'
AN: '+proj=aeqd +lat_0=-90 +lon_0=0 +x_0=3714266.97719 +y_0=3402016.50625 +datum=WGS84 +units=m +no_defs'
AS: '+proj=aeqd +lat_0=47 +lon_0=94 +x_0=4340913.84808 +y_0=4812712.92347 +datum=WGS84 +units=m +no_defs'
EU: '+proj=aeqd +lat_0=53 +lon_0=24 +x_0=5837287.81977 +y_0=2121415.69617 +datum=WGS84 +units=m +no_defs'
NA: '+proj=aeqd +lat_0=52 +lon_0=-97.5 +x_0=8264722.17686 +y_0=4867518.35323 +datum=WGS84 +units=m +no_defs'
OC: '+proj=aeqd +lat_0=-19.5 +lon_0=131.5 +x_0=6988408.5356 +y_0=7654884.53733 +datum=WGS84 +units=m +no_defs'
SA: '+proj=aeqd +lat_0=-14 +lon_0=-60.5 +x_0=7257179.23559 +y_0=5592024.44605 +datum=WGS84 +units=m +no_defs'


If you use the software in a publication then please cite it using the Zenodo DOI. Be aware that this badge links to the latest package version.

Please select your specific version at to get the DOI of that version. You should normally always use the DOI for the specific version of your record in citations. This is to ensure that other researchers can access the exact research artefact you used for reproducibility.

You can find additional information regarding DOI versioning at


This package should be installable through pip:

pip install Equi7Grid

Installs for scripy and gdal are required from conda or conda-forge.


We are happy if you want to contribute. Please raise an issue explaining what is missing or if you find a bug. We will also gladly accept pull requests against our master branch for new features or bug fixes.

Development setup

For Development we recommend a conda environment.

Example installation script

The following script will install miniconda and setup the environment on a UNIX like system. Miniconda will be installed into $HOME/miniconda.

wget -O
bash -b -p $HOME/miniconda
export PATH="$HOME/miniconda/bin:$PATH"
conda create -n equi7grid_env python=3.6 numpy scipy pip gdal pyproj shapely geographiclib
source activate equi7grid_env
pip install pytileproj

This script adds $HOME/miniconda/bin temporarily to the PATH to do this permanently add export PATH="$HOME/miniconda/bin:$PATH" to your .bashrc or .zshrc

The last line in the example activates the equi7grid_env environment.

After that you should be able to run:

python test

to run the test suite.


If you want to contribute please follow these steps:

  • Fork the Equi7Grid repository to your account
  • Clone the repository
  • make a new feature branch from the Equi7Grid master branch
  • Add your feature
  • Please include tests for your contributions in one of the test directories. We use py.test so a simple function called test_my_feature is enough
  • submit a pull request to our master branch


This project has been set up using PyScaffold 3.3 For details and usage information on PyScaffold see


Definition of the Equi7Grid - a spatial reference optimized for global high-resolution raster data.







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