Book Image

Learning Geospatial Analysis with Python

By : Joel Lawhead
Book Image

Learning Geospatial Analysis with Python

By: Joel Lawhead

Overview of this book

Geospatial Analysis is used in almost every field you can think of from medicine, to defense, to farming. This book will guide you gently into this exciting and complex field. It walks you through the building blocks of geospatial analysis and how to apply them to influence decision making using the latest Python software. Learning Geospatial Analysis with Python, 2nd Edition uses the expressive and powerful Python 3 programming language to guide you through geographic information systems, remote sensing, topography, and more, while providing a framework for you to approach geospatial analysis effectively, but on your own terms. We start by giving you a little background on the field, and a survey of the techniques and technology used. We then split the field into its component specialty areas: GIS, remote sensing, elevation data, advanced modeling, and real-time data. This book will teach you everything you need to know about, Geospatial Analysis from using a particular software package or API to using generic algorithms that can be applied. This book focuses on pure Python whenever possible to minimize compiling platform-dependent binaries, so that you don’t become bogged down in just getting ready to do analysis. This book will round out your technical library through handy recipes that will give you a good understanding of a field that supplements many a modern day human endeavors.
Table of Contents (17 chapters)
Learning Geospatial Analysis with Python Second Edition
About the Author
About the Reviewers

Chapter 1. Learning Geospatial Analysis with Python

This chapter is an overview of geospatial analysis. We will see how geospatial technology is currently impacting our world with a case study of one of the worst disease epidemics that the world has ever seen and how geospatial analysis helped stop the deadly virus in its tracks. Next, we'll step through the history of geospatial analysis, which predates computers and even paper maps! Then, we'll examine why you might want to learn a programming language as a geospatial analyst as opposed to just using geographic information system (GIS) applications. We'll realize the importance of making geospatial analysis as accessible as possible to the broadest number of people. Then, we'll step through basic GIS and remote sensing concepts and terminology that will stay with you through the rest of the book. Finally, we'll use Python for geospatial analysis right in the first chapter by building the simplest possible GIS from scratch!

This book assumes some basic knowledge of Python, IT literacy, and at least an awareness of geospatial analysis. This chapter provides a foundation in geospatial analysis, which is needed to attack any subject in the areas of remote sensing and GIS, including the material in all the other chapters of the book.