Geoprocessing with PythonSummary 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
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
Appendixes
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Índice
Python basics | |
Reading and writing vector data | |
Working with different vector file formats | |
Filtering data with | |
Manipulating geometries with | |
Vector analysis with | |
Map algebra with NumPy and SciPy | |
Map classification | |
Map classification | |
Visualizing data | |
Appendix A Installation | |
Appendix B References | |
Index | |
List of Figures | |
Using spatial reference systems | |
Reading and writing raster data | |
Working with raster data | |
Manipulating geometries with | |
List of Tables | |
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Palavras e frases frequentes
added allows analysis array attribute band calculate called cell chapter cities color columns contains convert coordinates copy corresponding countries create data source dataset default determine distance don’t draw driver edit elevation error example existing field Figure filter formats function GDAL geometry import input install it’s layer look loop means method module multiple NumPy object offsets Once operations optional original output parameter pass pixel values plot points polygons population probably projection Python raster represent resampling returns ring roads rows script shapefile shown in figure shows simple single slices spatial reference specify string sure thing True variable vertices window write you’ll
Informação bibliográfica
| Título | Geoprocessing with Python |
| Autor | Christine Garrard |
| Editora | Simon and Schuster, 2016 |
| ISBN | 163835314X, 9781638353140 |
| Número de páginas | 360 páginas |
| Exportar citação | BiBTeX EndNote RefMan |