PolarToolkit#

PolarToolkit is a Python package to make polar (i.e. Antarctic, Arctic, Greenland) research more efficient, reproducible, and accessible. The software does this by providing:

  • convenient functions for downloading and pre-processing a wide range of commonly used polar datasets

  • tools for common geospatial tasks (i.e. changing data resolution, subsetting data by geographic regions)

  • code to easily create publication-quality maps, data profiles, and cross-sections

  • a means to interactively explore datasets

Binder link

Latest version on PyPI Latest version on conda-forge Test coverage status

Compatible Python versions. Zenodo DOI Documentation Status

SPEC 0 โ€” Minimum Supported Dependencies

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Ready for daily use but still changing.

This means that we are still adding a lot of new features and sometimes we make changes to the ones we already have while we try to improve the software based on usersโ€™ experience, test new ideas, make better design decisions, etc. Some of these changes could be backwards incompatible. Keep that in mind before you update polartoolkit to a new major version (i.e. from v1.0.0 to v2.0.0).

The PolarToolkit python package provides some basic tools to help in conducting polar research. You can use it to download common datasets (i.e. BedMachine, Bedmap, MODIS Mosaics), create maps and plots specific to Antarctica, Greenland and the Arctic and visualize data with multiple methods.

Feel free to use, share, modify, and contribute to this project.

What PolarToolkit is for:#

  • download commonly used datasets related to Antarctica, Greenland and the Arctic

  • making publication-quality maps and cross-sections, with some limited support outside of polar regions

  • interactively explore data and define geographic regions

  • plotting and working with data in projected coordinates (meters) in either EPSG 3031 or 3413, for the South and North hemispheres, respectively

  • mostly focused on regularly gridded (interpolated) datasets, with some support for discrete (un-gridded) data

  • current focus for datasets is related to ice, geophysics, and earth properties since this is where my personal research interests are, but please request or add your own types of data!

  • basic geospatial manipulations (filtering, resampling, reprojecting, masking etc.)

What PolarToolkit is not for:#

  • downloading niche datasets or those that only cover specific regions

  • downloaded datasets outside of Antarctica, Greenland and the Arctic

  • plotting and working with data in geographic (latitude and longitude) coordinates

  • plots not related to geospatial data

  • a point-and-click GUI for plotting or data exploration -> see Quantarctica or QGreenland

  • complex geospatial processing -> see PyGMT, Verde, Geopandas or Rasterio

How to contribute

I really welcome all forms of contribution! If you have any questions, comments or suggestions, please open a discussion or issue (feature request) on the GitHub page!

Also, please feel free to share how youโ€™re using PolarToolkit, Iโ€™d love to know.

Please, read our Contributor Guide to learn how you can contribute to the project.

Note

Many parts of this documentation was adapted from the Fatiando project.

Getting started?

New to PolarToolkit? Start here!

Quickstart

Need help?

Start a discussion on GitHub!

Discussions

Reference documentation

A list of modules and functions

API Reference

Using PolarToolkit for research?

Citations help support our work

Citing PolarToolkit