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

Stepping through the program

Now we're ready to work through the GPX-Reporter program. Like other scripts in this book, this program tries to minimize functions so that you can mentally trace the program better and modify it with less effort. The following list contains the major steps in the program:

  • Setting up the Python logging module

  • Establishing our helper functions

  • Parsing the GPX data file

  • Calculating the route bounding box

  • Buffering the bounding box

  • Converting the box to meters

  • Downloading the base map

  • Downloading the elevation data

  • Hillshading the elevation data

  • Increasing the hillshade contrast

  • Blending the hillshade and base map

  • Drawing the GPX track on a separate image

  • Blending the track image and base map

  • Drawing the start and finish points

  • Saving the map image

  • Calculating the route mile markers

  • Building the elevation profile chart

  • Getting the weather data for the route time period

  • Generating the PDF report