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

Reports from the field

In our final example in this chapter, we'll get off the bus and out into the field. Modern smart phones, tablets, and laptops allow us to update a GIS and view these updates from everywhere. We'll use HTML, GeoJSON, Leaflet JavaScript Library, and a pure Python library named Folium to create a client-server application that allows us to post geospatial information to a server, and then create an interactive web map to view these data updates.

First, we need the web form that shows your current location and updates the server when you submit the form with comments about your location. You can find the form at

The following screenshot shows you the form:

You can view the source of this form to see how it works. The mapping is done using the Leaflet library and posts GeoJSON to a unique URL on You can use this page on mobile devices, you can move it to any web server, or even use it on your local hard drive...