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  • Book Overview & Buying Python GeoSpatial Analysis Essentials
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Python GeoSpatial Analysis Essentials

Python GeoSpatial Analysis Essentials

By : Westra
4 (2)
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Python GeoSpatial Analysis Essentials

Python GeoSpatial Analysis Essentials

4 (2)
By: Westra
Buy this Book

Overview of this book

If you are an experienced Python developer and wish to get up-to-speed with geospatial programming, then this book is for you. While familiarity with installing third-party Python libraries would be an advantage, no prior knowledge of geospatial programming is required.
Table of Contents (8 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Geospatial Analysis and Techniques
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1. Geospatial Analysis and Techniques
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About geospatial analysis
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Understanding geospatial data
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Setting up your Python installation
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Obtaining some geospatial data
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Unlocking the shapefile
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Analyzing the data
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A program to identify neighboring countries
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Summary
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2. Geospatial Data
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2. Geospatial Data
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Geospatial data quality
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Types of geospatial data
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Sources of freely available geospatial data
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Reading and writing geospatial data using Python
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Dealing with spatial reference systems
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Geospatial data errors and how to fix them
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Summary
3
3. Spatial Databases
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3. Spatial Databases
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Spatial database concepts
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Installing a spatial database
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Accessing PostGIS from Python
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Setting up a spatial database
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Importing spatial data
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Querying spatial data
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Manipulating spatial data
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Exporting spatial data
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Summary
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4. Creating Maps
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4. Creating Maps
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Introducing Mapnik
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Learning Mapnik
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A working example
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Next steps
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Summary
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5. Analyzing Geospatial Data
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5. Analyzing Geospatial Data
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Libraries for spatial analysis
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Spatial analysis recipes
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Summary
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6. Building a Complete Geospatial Analysis System
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6. Building a Complete Geospatial Analysis System
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Matching GPS data against a map
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An overview of the GPS Heatmap system
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Obtaining the necessary data
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Implementing the GPS Heatmap system
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Further improvements
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Summary
7
Index
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Index

Chapter 1. Geospatial Analysis and Techniques

In this introductory chapter, we will start our exploration of geospatial analysis by learning about the types of tasks you will typically be performing, and then look at spatial data and the Python libraries you can use to work with it. We will finish by writing an example program in Python to analyze some geospatial data.

As you work through this chapter, you will:

  • Become familiar with the types of problems that geospatial analysis will help to solve
  • Understand the various types of geospatial data and some of the important concepts related to location-based data
  • Set up your computer to use the third-party libraries you need to start analyzing geospatial data using Python
  • Obtain some basic geospatial data to get started
  • Learn how to use the GDAL/OGR library to read through a shapefile and extract each feature's attributes and geometry
  • Learn how to use Shapely to manipulate and analyze geospatial data
  • Write a simple but complete program to identify neighboring countries

Let's start by looking at the types of problems and tasks typically solved using geospatial analysis.

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Python GeoSpatial Analysis Essentials
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