Items related to Geoprocessing with Python
Synopsis
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
"synopsis" may belong to another edition of this title.
About the Author
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.
"About this title" may belong to another edition of this title.
- PublisherManning
- Publication date2016
- ISBN 10 1617292141
- ISBN 13 9781617292149
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages360
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Geoprocessing with Python (Paperback)
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ISBN 10: 1617292141
ISBN 13: 9781617292149
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Paperback. Condition: new. Paperback. DESCRIPTION Geospatial data is hard to ignore. Nearly every car, phone, or camera has a GPS sensor, and aerial photos, satellite imagery, and data representing political boundaries, roads, rivers, and streams are available for free download from many websites. Geoprocessing is the science of reading, analyzing, and presenting geospatial data programmatically. The Python language, along with dozens of open source libraries and tools, makes it possible to take on professional geoprocessing tasks without investing in expensive proprietary packages like ArcGIS and MapInfo. Geoprocessing with Python teaches how to use the Python programming language along with free and open source tools to read, write, and process geospatial data. It shows how to access available data sets to make maps or perform analyses using free and open source tools like the GDAL, Shapely, and Fiona Python modules. Readers will master core practices like handling multiple vector file formats, editing and manipulating geometries, applying spatial and attribute filters, working with projections, and performing basic analyses on vector data. Theyll also learn how to create geospatial data, rather than just consuming it. The book also covers how to manipulate and analyze raster data, such as aerial photographs, satellite images, and digital elevation models. KEY SELLING POINTS Geoprocessing from the ground up Shows how to create custom geoprocessing tools Takes advantage of free and open source tools AUDIENCE Readers need a basic knowledge of Python or a similar programming language. No previous experience with geoprocessing or geospatial data required. Perfect for readers who have used Python with Esri ArcGIS and want to apply their Python skills elsewhere. ABOUT THE TECHNOLOGY Geoprocessing is the science of reading, analyzing, and presenting geospatial data programmatically. The Python language, along with dozens of open source libraries and tools, makes it possible to take on professional geoprocessing tasks without investing in expensive proprietary packages like ArcGIS and MapInfo. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781617292149
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Geoprocessing with Python
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Geoprocessing With Python
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Kartoniert / Broschiert. Condition: New. Über den AutorrnrnChris 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. Seller Inventory # 118314677
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Geoprocessing with Python (Paperback)
Published by
Manning Publications, New York, 2016
ISBN 10: 1617292141
ISBN 13: 9781617292149
New
Paperback
Seller: AussieBookSeller, Truganina, VIC, Australia
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Paperback. Condition: new. Paperback. DESCRIPTION Geospatial data is hard to ignore. Nearly every car, phone, or camera has a GPS sensor, and aerial photos, satellite imagery, and data representing political boundaries, roads, rivers, and streams are available for free download from many websites. Geoprocessing is the science of reading, analyzing, and presenting geospatial data programmatically. The Python language, along with dozens of open source libraries and tools, makes it possible to take on professional geoprocessing tasks without investing in expensive proprietary packages like ArcGIS and MapInfo. Geoprocessing with Python teaches how to use the Python programming language along with free and open source tools to read, write, and process geospatial data. It shows how to access available data sets to make maps or perform analyses using free and open source tools like the GDAL, Shapely, and Fiona Python modules. Readers will master core practices like handling multiple vector file formats, editing and manipulating geometries, applying spatial and attribute filters, working with projections, and performing basic analyses on vector data. Theyll also learn how to create geospatial data, rather than just consuming it. The book also covers how to manipulate and analyze raster data, such as aerial photographs, satellite images, and digital elevation models. KEY SELLING POINTS Geoprocessing from the ground up Shows how to create custom geoprocessing tools Takes advantage of free and open source tools AUDIENCE Readers need a basic knowledge of Python or a similar programming language. No previous experience with geoprocessing or geospatial data required. Perfect for readers who have used Python with Esri ArcGIS and want to apply their Python skills elsewhere. ABOUT THE TECHNOLOGY Geoprocessing is the science of reading, analyzing, and presenting geospatial data programmatically. The Python language, along with dozens of open source libraries and tools, makes it possible to take on professional geoprocessing tasks without investing in expensive proprietary packages like ArcGIS and MapInfo. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9781617292149
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