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
Language
English
About Book
Who Is This Book For?
The audience for this book includes students, developers, and geospatial professionals who need a reference book that covers GIS data management, analysis, and automation techniques with code libraries built in Python 3.
Mastering Geospatial Analysis with Python
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 14h40m total length
Package installation and management
Introduction to geospatial code libraries
Introduction to geospatial databases
Data types, storage and conversion
Vector data analysis
Raster data processing
Geoprocessing with geodatabases
Automating QGIS analysis
ArcGIS API for Python and ArcGIS Online
Geoprocessing with a GPU Database
Flask and GeoAlchemy
GeoDjango
Creating a geospatial REST API
Cloud Geodatabase Analysis and Visualization
Automating Cloud Cartography
Python geoprocessing with Hadoop
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