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

Creating and Editing GIS Data

In the previous chapter, we embarked on an exciting journey exploring the foundational Python algorithms that form the bedrock of geospatial analysis. We delved into the intricacies of these building block functions, understanding their role in the larger context of GIS. Now, as we turn the page to this chapter, we’re ready to take the next step in our learning journey.

In this chapter, we’re going to dive deeper into the practical applications of Python in the realm of GIS. We’ll explore how Python can be used not just to understand and analyze GIS data but also to create and edit it. We’ll learn how to manipulate data to suit our specific needs, a skill that’s crucial in the field of geospatial analysis. But that’s not all. We’ll also delve into the exciting world of map creation. Using Python, we’ll learn how to create visually compelling and informative maps that can help us better understand...