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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
8
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

Preface

Python has become the language of choice for many in the geospatial industry. Some use Python as a way to automate their workflows in software, such as ArcGIS or QGIS. Others play around with the nuts and bolts of Python's immense variety of third-party open source geospatial toolkits.

Given all the programming tools available and the people already familiar with geospatial software, there is no reason why you should have to choose either one or the other. Programmers can now develop their own applications from scratch to better suit their needs. Python is, after all, known as a language for rapid development.

By developing your own application, you can have fun with it, experiment with new visual layouts and creative designs, create platforms for specialized workflows, and tailor to the needs of others.

CONTINUE READING
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Tech Concepts
36
Programming languages
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Python Geospatial Development Essentials
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