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  • Book Overview & Buying Python Geospatial Development Essentials
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Python Geospatial Development Essentials

Python Geospatial Development Essentials

By : Karim Bahgat
4.5 (2)
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Python Geospatial Development Essentials

Python Geospatial Development Essentials

4.5 (2)
By: Karim Bahgat
Buy this Book

Overview of this book

This book is ideal for Python programmers who are tasked with or wish to make a special-purpose GIS application. Analysts, political scientists, geographers, and GIS specialists seeking a creative platform to experiment with cutting-edge spatial analysis, but who are still only beginners in Python, will also find this book beneficial. Familiarity with Tkinter application development in Python is preferable but not mandatory.
Table of Contents (10 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. Preparing to Build Your Own GIS Application
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1. Preparing to Build Your Own GIS Application
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Why reinvent the wheel?
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Setting up your computer
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Installing third-party packages
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Imagining the roadmap ahead
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Summary
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2. Accessing Geodata
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2. Accessing Geodata
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The approach
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Vector data
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Raster data
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Summary
3
3. Designing the Visual Look of Our Application
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3. Designing the Visual Look of Our Application
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Setting up the GUI package
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Creating the toolkit building blocks
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Using the toolkit to build the GUI
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Testing our application
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Summary
4
4. Rendering Our Geodata
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4. Rendering Our Geodata
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Rendering
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Interactively rendering our maps
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Putting it all together
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Summary
5
5. Managing and Organizing Geographic Data
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5. Managing and Organizing Geographic Data
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Creating the management module
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Inspecting files
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Organizing files
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Weaving functionality into the user interface
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Summary
6
6. Analyzing Geographic Data
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6. Analyzing Geographic Data
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Creating the analysis module
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Analyzing data
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Weaving functionality into the user interface
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Summary
7
7. Packaging and Distributing Your Application
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7. Packaging and Distributing Your Application
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Attaching an application logo
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The application start up script
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Packaging your application
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Creating an installer
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Summary
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8. Looking Forward
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8. Looking Forward
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Improvements to the user interface
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Other variations of the user interface
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Adding more GIS functionality
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Expanding to other platforms
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Summary
9
Index
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Index

Analyzing data

The first half of this chapter creates the analysis functionality, while the other half weaves the functionality into the application design. Let's begin by making the functionality. This includes overlap summary and buffer for vector data and zonal statistics for raster data.

Vector data

For vector data, we will focus on two commonly used analysis tools: overlap summary and buffer.

Overlap summary

One of the most basic spatial analysis operations in a GIS is to summarize statistics for a layer of features that touches or overlaps another layer of features. Typical questions to warrant such analysis include: how many points fall within each country polygon, or what is the sum or average of their values for each country? This type of analysis is typically done using a spatial join tool, with the many-to-one option representing multiple matching features with a summary statistic. These summary statistics are then attached to the original country polygons. A spatial join is not an...

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Python Geospatial Development Essentials
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