Python for geospatial data analysis theory, tools, and practice for location intelligence
"In spatial data science, things in closer proximity to one another likely have more in common than things that are farther apart. With this practical book, geospatial professionals, data scientists, business analysts, geographers, geologists, and others familiar with data analysis and visualiz...
| Otros Autores: | |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Sebastopol, CA :
O'Reilly Media, Inc
[2023]
|
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009689937806719 |
Tabla de Contenidos:
- Introduction to geospatial analytics
- Essential facilities for spatial analysis
- QGIS: exploring PyQGIS and native algorithms for spatial analytics
- Geospatial analytics in the cloud: Google Earth Engine and other tools
- OpenStreetMap: accessing geospatial data with OSMnx
- The ArcGIS Python API
- GeoPandas and spatial statistics
- Data cleaning
- Exploring the Geospatial Data Abstraction Library (GDAL)
- Using Python to measure climate data.
