Book Image

Learning Geospatial Analysis with Python - Fourth Edition

By : Joel Lawhead
4 (1)
Book Image

Learning Geospatial Analysis with Python - Fourth Edition

4 (1)
By: Joel Lawhead

Overview of this book

Geospatial analysis is used in almost every domain you can think of, including defense, farming, and even medicine. In this special 10th anniversary edition, you'll embark on an exhilarating geospatial analysis adventure using Python. This fourth edition starts with the fundamental concepts, enhancing your expertise in geospatial analysis processes with the help of illustrations, basic formulas, and pseudocode for real-world applications. As you progress, you’ll explore the vast and intricate geospatial technology ecosystem, featuring thousands of software libraries and packages, each offering unique capabilities and insights. This book also explores practical Python GIS geospatial applications, remote sensing data, elevation data, and the dynamic world of geospatial modeling. It emphasizes the predictive and decision-making potential of geospatial technology, allowing you to visualize complex natural world concepts, such as environmental conservation, urban planning, and disaster management to make informed choices. You’ll also learn how to leverage Python to process real-time data and create valuable information products. By the end of this book, you'll have acquired the knowledge and techniques needed to build a complete geospatial application that can generate a report and can be further customized for different purposes.
Table of Contents (18 chapters)
1
Part 1:The History and the Present of the Industry
5
Part 2:Geospatial Analysis Concepts
11
Part 3:Practical Geospatial Processing Techniques

Part 1:The History and the Present of the Industry

This part starts by demonstrating common geospatial analysis processes using illustrations, basic formulas, simple code, and Python. Building on that, you’ll learn how to play with geospatial data – acquiring data and preparing it for various analyses. After that, you’ll gain an understanding of the various software packages and libraries used in the geospatial technology ecosystem. At the end of this part, you’ll learn how to evaluate any geospatial tool to see whether it’s what you need for your project.

This part contains the following chapters:

  • Chapter 1, Learning about Geospatial Analysis with Python
  • Chapter 2, Learning about Geospatial Data
  • Chapter 3, The Geospatial Technology Landscape