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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

Raster data

Now that we have implemented a data structure for loading and saving vector data, we can proceed to do the same for raster data. As stated earlier, we will be creating three submodules inside our raster package: data, loader, and saver. To make these accessible from their parent raster package, we need to import it in raster/__init__.py as follows:

from . import data
from . import loader
from . import saver

A data interface for raster data

Raster data has a very different structure that we must accommodate, and we begin by making its data interface. The code for this interface will be contained in a module of its own inside the raster folder. To create this module now, save it as raster/data.py. Start it out with a few basic imports, including the loader and saver modules that we have not yet created and PIL which we installed in Chapter 1, Preparing to Build Your Own GIS Application:

# import builtins
import sys, os, itertools, operator

# import internals
from . import loader...
Visually different images
CONTINUE READING
83
Tech Concepts
36
Programming languages
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Python Geospatial Development Essentials
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