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| Format: | Recurso digital |
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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.18853424 |
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| _version_ | 1866902025355132928 |
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| author | Bella |
| author_facet | Bella |
| contents | <h2>Geoanalytics in Python — v1.0.0</h2> <blockquote> <p>Note: The course content is written in Russian.</p> </blockquote> <h3>Module 1: Spatial Data</h3> <ul> <li>Jupyter notebooks:<ul> <li>spData_1.ipynb — Spatial data models: vector vs raster (Shapely, GeoPandas; raster basics)</li> <li>spData_2.ipynb — Reading vector data: formats (Shapefile, GeoJSON, GeoPackage) + CSV → GeoDataFrame + export</li> <li>spData_3.ipynb — Exploring a spatial dataset: attributes, geometry types/validity, and CRS inspection</li> <li>spData_4.ipynb — Extracting data from OpenStreetMap: boundary geocoding, OSM data download, tags, basic filtering/processing</li> </ul> </li> </ul> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18853424 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | bella-mir/geoPython: v1.0.0 — Geoanalytics in Python (Module 1: Spatial Data) Bella <h2>Geoanalytics in Python — v1.0.0</h2> <blockquote> <p>Note: The course content is written in Russian.</p> </blockquote> <h3>Module 1: Spatial Data</h3> <ul> <li>Jupyter notebooks:<ul> <li>spData_1.ipynb — Spatial data models: vector vs raster (Shapely, GeoPandas; raster basics)</li> <li>spData_2.ipynb — Reading vector data: formats (Shapefile, GeoJSON, GeoPackage) + CSV → GeoDataFrame + export</li> <li>spData_3.ipynb — Exploring a spatial dataset: attributes, geometry types/validity, and CRS inspection</li> <li>spData_4.ipynb — Extracting data from OpenStreetMap: boundary geocoding, OSM data download, tags, basic filtering/processing</li> </ul> </li> </ul> |
| title | bella-mir/geoPython: v1.0.0 — Geoanalytics in Python (Module 1: Spatial Data) |
| url | https://doi.org/10.5281/zenodo.18853424 |