GitHub / pyladiesams / geodata-in-python-oct2023
Learn the basics of geospatial data theory, covering raster, vector, and related concepts. Gain hands-on experience with Python libraries for geospatial data.
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Stars: 10
Forks: 3
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 251 MB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: 8 months ago
Pushed at: over 1 year ago
Last synced at: 1 day ago
Commit Stats
Commits: 5
Authors: 2
Mean commits per author: 2.5
Development Distribution Score: 0.4
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/pyladiesams/geodata-in-python-oct2023
Topics: geodata, geopandas, geospatial-analysis, geospatial-data, rasterio, shapely