Book

Mastering Geospatial Analysis with Python

Python comes with many libraries and tools that help you work on geoprocessing tasks without investing in expensive tools. This book introduces you to new libraries that perform geospatial and statistical analysis and data management. It uses examples that explain how Python v3 differs from v2, and solve age-old problems in geospatial analysis.

Offered by

Difficulty Level

Intermediate

Completion Time

14h40m approx.

Language

English

Certification

Not available

About Course

Book Content

chapters • 14h40m total length

1. Package installation and management

2. Introduction to geospatial code libraries

3. Introduction to geospatial databases

4. Data types, storage and conversion

5. Vector data analysis

6. Raster data processing

7. Geoprocessing with geodatabases

8. Automating QGIS analysis

9. ArcGIS API for Python and ArcGIS Online

10. Geoprocessing with a GPU Database

11. Flask and GeoAlchemy

12. GeoDjango

13. Creating a geospatial REST API

14. Cloud Geodatabase Analysis and Visualization

15. Automating Cloud Cartography

16. Python geoprocessing with Hadoop

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