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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
2
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

Interactively rendering our maps

Now that we have ways of combining several layers into a rendered map image, we get to the more exciting part of how to do this interactively in our application with immediate results.

Linking the MapView to the renderer

After we rendered a set of layers onto a map image, this image must be sent to and displayed in our application for immediate feedback. This task is done by the MapView widget we created in Chapter 3, Designing the Visual Look of Our Application. While building our application, the idea is that all we have to worry about is creating this visual MapView widget; behind the scenes, the MapView will be responsible for creating its own MapCanvas renderer to do the actual work. Since the MapCanvas class needs LayerGroup to manage its layers, we will create a MapView method to assign a LayerGroup, in app/toolkit/map.py:

    def assign_layergroup(self, layergroup):
        self.layers = layergroup

We then link the two together as additional code in...

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Tech Concepts
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Programming languages
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Python Geospatial Development Essentials
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