Overview
Mastering Geospatial Analysis with Python is an essential guide to analyzing spatial data using Python. This book introduces cutting-edge geospatial analysis tools and demonstrates how to use frameworks such as GeoDjango, CARTOframes, and MapboxGL-Jupyter. Learn to perform tasks like managing geospatial databases, creating REST APIs, and automating map generation.
What this Book will help me do
- Understand and perform geospatial data processing using Python libraries.
- Create and manage geospatial databases using database frameworks.
- Generate and interpret geospatial visualizations using modern tools.
- Develop geospatial web applications and RESTful APIs in Python.
- Implement techniques for geospatial cloud data processing and automation.
Author(s)
The authors, proficient Python developers and geospatial analysis experts, bring years of combined experience in the field. None Toms has collaborated on geospatial software projects worldwide. Paul Crickard specializes in developing Python-based GIS tools, and Eric van Rees is an accomplished writer on GIS and spatial analysis topics.
Who is it for?
This book is perfect for geospatial developers, GIS analysts, and Python programmers seeking to enhance their skills in geospatial data processing. Whether you're new to geospatial tools or looking to integrate advanced frameworks into your workflows, this book offers a structured guide to mastering these technologies.
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