talk on conference website
EOmaps is a python library to simplify the creation of static and interactive maps. It provides an easy-to-use framework to visualize, analyse and compare (potentially large) geographical datasets.
[EOmaps](https://github.com/raphaelquast/EOmaps) brings together the capabilities of existing libraries (matpltolib, cartopy, geopandas, datashader, xarray ...) to provide an easy-to-use framework for visualization and comparison of earth-observation datasets.
- Turn your static maps into powerful interactive data-analysis widgets!
The primary goal of [EOmaps](https://github.com/raphaelquast/EOmaps) is to provide a simplified (and well [documented](https://eomaps.readthedocs.io/en/latest/)) python interface to analyse both structured and unstructured datasets provided in different coordinate-systems and spatial resolutions.
The key features are:
##### Fast and meaningful visualization of potentially large datasets
- moderately large datasets (<1M) are visualized as projected shapes with actual geographical dimensions
- very large datasets (>1M) are visualized with "datashader" to speed up plotting.
##### Interact with the map via pre-defined (or custom) callback-functions
- Identify clicked points, add annotations, markers etc.
- Execute custom functions to interact with the underlying dataset
##### Directly compare your data to other datasets or WebMaps
- Switch/swipe between different data-layers
- or publicly available WebMap services
##### Add features and utulities to customize the maps
- colorbars, scalebars, North-arrows, annotations, markers, etc.
- NaturalEarth features and WebMap layers