Geospatial

Geospatial library

Often scientist needs to deal with geospatial coordinate (latitude, longitude), maps and distances.

This include efficient data-structures like KD-Tree or RTree to compute distances between points and distance formulas like Haversine to compute distance on a sphere.

Notable non-Nim libraries include Python’s scipy.spatial, Geopy, Shapely

Status: in-progress R-tree forum thread.

R-trees Kd-trees: https://github.com/jblindsay/kdtree Proof-of-concepts:

GDAL wrapper (Geospatial Data Abstraction Library)

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