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Learning Geospatial Analysis with Python

Learning Geospatial Analysis with Python - Third Edition

By : Joel Lawhead
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Learning Geospatial Analysis with Python

Learning Geospatial Analysis with Python

3 (3)
By: Joel Lawhead

Overview of this book

Geospatial analysis is used in almost every domain you can think of, including defense, farming, and even medicine. With this systematic guide, you'll get started with geographic information system (GIS) and remote sensing analysis using the latest features in Python. This book will take you through GIS techniques, geodatabases, geospatial raster data, and much more using the latest built-in tools and libraries in Python 3.7. You'll learn everything you need to know about using software packages or APIs and generic algorithms that can be used for different situations. Furthermore, you'll learn how to apply simple Python GIS geospatial processes to a variety of problems, and work with remote sensing data. By the end of the book, you'll be able to build a generic corporate system, which can be implemented in any organization to manage customer support requests and field support personnel.
Table of Contents (15 chapters)
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Section 1: The History and the Present of the Industry
5
Section 2: Geospatial Analysis Concepts
10
Section 3: Practical Geospatial Processing Techniques

Building a GPS reporting tool

The name of our program is GPX-Reporter.py. If you remember the Tag and markup-based formats section in Chapter 2, Learning Geospatial Data, the GPX format is the most common way to store GPS route information. Nearly every program and device relying on GPS data can convert to and from GPX.

For this example, you can download a sample GPX file from: http://git.io/vl7qi. Also, you will need to install a few Python libraries from PyPI.

You should simply use easy_install or pip to install these tools. We will also be using a module called SRTM.py. This module is a utility for working with near-global elevation data collected during the 11-day Shuttle Radar Topography Mission (SRTM) in 2000 by the space shuttle Endeavor. Install the SRTM module using pip:

pip install srtm.py

Alternatively, you can also download the zipped file, extract it, and copy the...

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