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

Storm chasing

So far, we created a simpler version of what the NextBus website already does. We have done it in a way that ultimately gives us complete control over the output. Now, we want to use this control to go beyond what the NextBus Google Maps mash-up does. We'll add another real-time data source that is very important to both travelers and bus operators: weather.

Iowa State University's Mesonet program provides free, polished weather data for applications. We use this data to create a real-time weather map for our bus location map. We can use the Open Geospatial Consortium (OGC) Web Mapping Service (WMS) standard to request a single image over our area of interest. A WMS is an OGC standard to serve georeferenced map images through the web, which are generated by a map server through an HTTP request.

The Mesonet system provides an excellent web mapping service that returns a subsetted image from a global precipitation mosaic based on a properly formatted WMS request. An example of...