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Detalles bibliogr�ficos

T�tulo: Geoprocessing with Python
Editor: Manning
Fecha de publicaci�n: 2016
Idioma: Ingl�s
ISBN 10: 1617292141
ISBN 13: 9781617292149
Encuadernaci�n: Encuadernaci�n de tapa blanda
Estado: very_good

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Sinopsis

Summary

Geoprocessing with Python teaches you how to use the Python programming language, along with free and open source tools, to read, write, and process geospatial data.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

This book is about the science of reading, analyzing, and presenting geospatial data programmatically, using Python. Thanks to dozens of open source Python libraries and tools, you can take on professional geoprocessing tasks without investing in expensive proprietary packages like ArcGIS and MapInfo. The book shows you how.

About the Book

Geoprocessing with Python teaches you how to access available datasets to make maps or perform your own analyses using free tools like the GDAL, NumPy, and matplotlib Python modules. Through lots of hands-on examples, you’ll master core practices like handling multiple vector file formats, editing geometries, applying spatial and attribute filters, working with projections, and performing basic analyses on vector data. The book also covers how to manipulate, resample, and analyze raster data, such as aerial photographs and digital elevation models.

What's Inside

Geoprocessing from the ground up
Read, write, process, and analyze raster data
Visualize data with matplotlib
Write custom geoprocessing tools
Three additional appendixes available online

About the Reader

To read this book all you need is a basic knowledge of Python or a similar programming language.

About the Author
Chris Garrard works as a developer for Utah State University and teaches a graduate course on Python programming for GIS.
Table of Contents

Introduction
Python basics
Reading and writing vector data
Working with different vector file formats
Filtering data with OGR
Manipulating geometries with OGR
Vector analysis with OGR
Using spatial reference systems
Reading and writing raster data
Working with raster data
Map algebra with NumPy and SciPy
Map classification
Visualizing data

Appendixes

A - Installation
B - References
C - OGR - online only
D - OSR - online only
E - GDAL - online only

Acerca del autor

Chris Garrard has worked as a developer for the Remote Sensing / GIS Laboratory at Utah State University for over a decade. She teaches a graduate level course on Python programming for GIS and enjoys helping students see the power that comes with writing their own code.

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For over half a century, Goodwill of Colorado has been dedicated to breaking the financial, physical, intellectual and social barriers that keep individuals from leading independent and purpose-filled lives. We accomplish this mission through over 40 diverse and innovative employment and life skills programs that foster confidence and opportunity for individuals with economic and development challenges.

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