Book Image

Learning Geospatial Analysis with Python - Third Edition

By : Joel Lawhead
Book Image

Learning Geospatial Analysis with Python - Third Edition

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. With this systematic guide, you'll get started with geographic information system (GIS) and remote sensing analysis using the latest features in Python. This book will take you through GIS techniques, geodatabases, geospatial raster data, and much more using the latest built-in tools and libraries in Python 3.7. You'll learn everything you need to know about using software packages or APIs and generic algorithms that can be used for different situations. Furthermore, you'll learn how to apply simple Python GIS geospatial processes to a variety of problems, and work with remote sensing data. By the end of the book, you'll be able to build a generic corporate system, which can be implemented in any organization to manage customer support requests and field support personnel.
Table of Contents (15 chapters)
Free Chapter
1
Section 1: The History and the Present of the Industry
5
Section 2: Geospatial Analysis Concepts
10
Section 3: Practical Geospatial Processing Techniques

Summary

You now have the background needed to work with common types of geospatial data. You also know about the common traits of geospatial datasets that will allow you to evaluate unfamiliar types of data and identify key elements that will drive you toward which tools to use when interacting with this data.

In the next chapter, we'll examine the modules and libraries that you can use to work with geospatial datasets. We will learn about the geospatial technology ecosystem, which consists of thousands of software libraries and packages. We will also understand the hierarchy of geospatial software and how it allows you to quickly comprehend and evaluate any geospatial tool.