A package to enrich your geo-referenced data (e.g. species occurrences) with environmental data.
Project description
geoenrich 0.4.4
Package description
GeoEnrich provides functionalities to enrich georeferenced events (such as species occurrences) with environmental data from satellites or models. Users can specify a geographic or temporal buffer to include data in the neighbourhood of occurrences into their analyses. Two main outputs are available: the full multidimensional data array, and a simple summary of the variable in the requested area.
Sea surface temperature, chlorophyll, and 40 other environmental variables are available natively, and others can easily be added by the user. This package is intended for large numbers of occurrences: local storage is implemented to avoid redundant requests to remote servers.
The package provides functions to retrieve occurrence data directly from GBIF, or open a custom dataset from any source. Arbitrary areas defined by the user can also be enriched.
Documentation on Read the Docs.
This project is being developed as part of the G2OI project, cofinanced by the European union, the Reunion region, and the French Republic.
Installation
Installation instructions are in the documentation, for python and R.
Using the plugin
Jupyter Notebook tutorials are available for python and R.
Issues and further developments
User suggestions
Please feel free to raise issues or suggest improvements in the Issues tab.
Planned improvements
- Export data as a raster layer.
- Enrich an area defined by a shapefile.
- Add bathymetry from GEBCO.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for geoenrich-0.4.4-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8d669b4ddc0bfb6c1fefc2d19aafdc73dd07b880c8cc2bc2078c74651ed2869a |
|
MD5 | 378577d9f4f562aaa5969b16c2e74829 |
|
BLAKE2b-256 | 9de3354faa139ef46d933e4e3d53852bf74d244e3145e82234f93cc42a831a87 |