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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

Chapter 1. Learning Geospatial Analysis with Python

This chapter is an overview of geospatial analysis and will cover the following topics:

How geospatial analysis is impacting our world
A history of geospatial analysis including Geographic Information Systems (GIS) and remote sensing
Reasons for using a programming language for geospatial analysis
Importance of more people learning geospatial analysis
GIS concepts
Remote sensing concepts
Creating the simplest possible GIS using Python

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

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.

See other products by Joel Lawhead

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