GitHub / ThomasKranz / GeoDataScience
Introduction to Geospatial Data in Python using Google API and GeoPandas
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ThomasKranz%2FGeoDataScience
PURL: pkg:github/ThomasKranz/GeoDataScience
Stars: 3
Forks: 2
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 4.34 MB
Dependencies parsed at: Pending
Created at: over 6 years ago
Updated at: about 5 years ago
Pushed at: about 5 years ago
Last synced at: over 1 year ago
Commit Stats
Commits: 31
Authors: 2
Mean commits per author: 15.5
Development Distribution Score: 0.065
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/ThomasKranz/GeoDataScience
Topics: agglomerative-clustering, geocoding, geopandas, geospatial, k-means-implementation-in-python, latitude-and-longitude