October 2013
Beginner to intermediate
364 pages
8h 8m
English
Overview
Dive into the world of geospatial analysis with Python in this comprehensive guide. This book introduces you to the techniques and tools needed to analyze, visualize, and interact with geospatial data. Whether you're automating workflows or delving into GIS essentials, this book equips you with actionable knowledge to excel in geospatial data analysis.
What this Book will help me do
- Learn to automate geospatial analysis workflows effectively using Python.
- Develop thematic maps leveraging Python spatial libraries.
- Understand different geospatial data types and their use cases comprehensively.
- Create elevation contours and build practical models for terrain analysis.
- Apply real-time data tracking techniques for innovative applications like storm chasing.
Author(s)
Joel Lawhead is a seasoned geospatial professional with extensive experience in Python-enabled geospatial technology. Through his insightful teaching style, he conveys complex topics in a practical, approachable manner, empowering learners to succeed. His aim is to make advanced geospatial concepts accessible and actionable for developers and analysts.
Who is it for?
This book is ideal for Python developers, data analysts, and researchers with an interest in geospatial applications. If you're looking to expand your technical skills into GIS and spatial modeling using Python, this guide is tailored for you. It provides a gradual learning curve, ensuring those new to geospatial topics feel supported. Ultimately, it's for anyone eager to enhance their technical toolkit with geospatial capabilities.
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