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Python Geospatial Development Essentials电子书

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3人正在读 | 0人评论 9.8

作       者:Karim Bahgat

出  版  社:Packt Publishing

出版时间:2015-06-17

字       数:168.7万

所属分类: 进口书 > 外文原版书 > 电脑/网络

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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.
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Python Geospatial Development Essentials

Table of Contents

Python Geospatial Development Essentials

Credits

About the Author

About the Reviewers

www.PacktPub.com

Support files, eBooks, discount offers, and more

Why subscribe?

Free access for Packt account holders

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Downloading the example code

Errata

Piracy

Questions

1. Preparing to Build Your Own GIS Application

Why reinvent the wheel?

Setting up your computer

Installing third-party packages

Imagining the roadmap ahead

Summary

2. Accessing Geodata

The approach

Vector data

A data interface for vector data

The vector data structure

Computing bounding boxes

Spatial indexing

Loading vector files

Shapefile

GeoJSON

File format not supported

Saving vector data

Shapefile

GeoJSON

File format not supported

Raster data

A data interface for raster data

The raster data structure

Positioning the raster in coordinate space

Nodata masking

Loading raster data

GeoTIFF

File format not supported

Saving raster data

GeoTIFF

File format not supported

Summary

3. Designing the Visual Look of Our Application

Setting up the GUI package

Creating the toolkit building blocks

Themed styling

Basic buttons

Buttons with icons

Toolbars

The Ribbon tab system

The bottom status bar

The layers pane

The Map widget

Pop-up windows

Dispatching heavy tasks to thread workers

Using the toolkit to build the GUI

Testing our application

Summary

4. Rendering Our Geodata

Rendering

Installing PyAgg

A sequence of layers

The MapCanvas drawer

Individual layer renderings

Vector layers

Raster layers

Interactively rendering our maps

Linking the MapView to the renderer

Requesting to render a map

Resizing the map in proportion to window resizing

The LayersPane as a LayerGroup

Adding layers

Editing layers in the LayersPane widget

Click-and-drag to rearrange the layer sequence

Zooming the map image

Map panning and one-time rectangle zoom

A navigation toolbar

Putting it all together

Summary

5. Managing and Organizing Geographic Data

Creating the management module

Inspecting files

Organizing files

Vector data

Splitting

Merging

Geometry cleaning

Raster data

Mosaicking

Resampling

Weaving functionality into the user interface

Layer-specific right-click functions

Defining the tool options windows

Setting up the management tab

Defining the tool options windows

Summary

6. Analyzing Geographic Data

Creating the analysis module

Analyzing data

Vector data

Overlap summary

Buffer

Raster data

Zonal statistics

Weaving functionality into the user interface

Layer-specific right-click functions

Defining the tool options windows

Setting up the analysis tab

Defining the tool options window

Summary

7. Packaging and Distributing Your Application

Attaching an application logo

The icon image file

Assigning the icon

The application start up script

Packaging your application

Installing py2exe

Developing a packaging strategy

Creating the build script

Adding the visual C runtime DLL

Creating an installer

Installing Inno Setup

Setting up your application's installer

Summary

8. Looking Forward

Improvements to the user interface

Saving and loading user sessions

File drag and drop

GUI widgets

Other variations of the user interface

Adding more GIS functionality

Basic GIS selections

More advanced visualization

Online data services

Converting between raster and vector data

Projections

Geocoding

Going the GDAL/NumPy/SciPy route

Expanding to other platforms

Touch devices

Summary

Index

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