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Learning Geospatial Analysis with Python

You're reading from Learning Geospatial Analysis with Python If you know Python and would like to use it for Geospatial Analysis this book is exactly what you've been looking for. With an organized, user-friendly approach it covers all the bases to give you the necessary skills and know-how.

Product type Paperback

Published in Oct 2013

Publisher Packt

ISBN-13 9781783281138

Length 364 pages

Edition 1st Edition

Languages

Python

Tools

PyShp

Concepts

Geospatial Analysis

Author (1):

Joel Lawhead

View More author details

Table of Contents (12) Chapters

Preface

1. Learning Geospatial Analysis with Python

2. Geospatial Data FREE CHAPTER

3. The Geospatial Technology Landscape

4. Geospatial Python Toolbox

5. Python and Geographic Information Systems

6. Python and Remote Sensing

7. Python and Elevation Data

8. Advanced Geospatial Python Modelling

9. Real-Time Data

10. Putting It All Together

Index

A typical GPS report

A typical GPS report has common elements including a route map, elevation profile, and speed profile. The following screenshot is a report from a typical route logged through RunKeeper.com:

A typical GPS report

Our report will be similar but we'll add a twist. We'll include the route map and elevation profile like this service but we'll also add the weather conditions that occurred on that route when it was recorded.

The rest of the chapter is locked

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Authors (1)

Joel Lawhead

Joel Lawhead

Joel Lawhead is a PMI-certified Project Management Professional (PMP), a certified GIS Professional (GISP), and vice president of NVision Solutions, Inc., an award-winning firm specializing in geospatial technology integration and sensor engineering for NASA, FEMA, NOAA, the US Navy, and many other commercial and non-profit organizations. Joel began using Python in 1997 and started combining it with geospatial software development in 2000. He has authored multiple editions of Learning Geospatial Analysis with Python and QGIS Python Programming Cookbook, both from Packt. He is also the developer of the open source Python Shapefile Library (PyShp) and maintains a geospatial technical blog.

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