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9781617292149 English 1617292141 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. They'll 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. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications., 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 InsideGeoprocessing from the ground upRead, write, process, and analyze raster dataVisualize data with matplotlibWrite custom geoprocessing toolsThree additional appendixes available onlineAbout the ReaderTo read this book all you need is a basic knowledge of Python or a similar programming language.About the AuthorChris Garrard works as a developer for Utah State University and teaches a graduate course on Python programming for GIS.Table of ContentsIntroductionPython basicsReading and writing vector dataWorking with different vector file formatsFiltering data with OGRManipulating geometries with OGRVector analysis with OGRUsing spatial reference systemsReading and writing raster dataWorking with raster dataMap algebra with NumPy and SciPyMap classificationVisualizing dataAppendixesA - InstallationB - ReferencesC - OGR - online onlyD - OSR - online onlyE - GDAL - online only", 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 InsideGeoprocessing from the ground upRead, write, process, and analyze raster dataVisualize data with matplotlibWrite custom geoprocessing toolsThree additional appendixes available onlineAbout the ReaderTo read this book all you need is a basic knowledge of Python or a similar programming language.About the AuthorChris Garrard works as a developer for Utah State University and teaches a graduate course on Python programming for GIS.Table of ContentsIntroductionPython basicsReading and writing vector dataWorking with different vector file formatsFiltering data with OGRManipulating geometries with OGRVector analysis with OGRUsing spatial reference systemsReading and writing raster dataWorking with raster dataMap algebra with NumPy and SciPyMap classificationVisualizing dataAppendixesA - InstallationB - ReferencesC - OGR - online onlyD - OSR - online onlyE - GDAL - online only"
9781617292149 English 1617292141 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. They'll 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. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications., 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 InsideGeoprocessing from the ground upRead, write, process, and analyze raster dataVisualize data with matplotlibWrite custom geoprocessing toolsThree additional appendixes available onlineAbout the ReaderTo read this book all you need is a basic knowledge of Python or a similar programming language.About the AuthorChris Garrard works as a developer for Utah State University and teaches a graduate course on Python programming for GIS.Table of ContentsIntroductionPython basicsReading and writing vector dataWorking with different vector file formatsFiltering data with OGRManipulating geometries with OGRVector analysis with OGRUsing spatial reference systemsReading and writing raster dataWorking with raster dataMap algebra with NumPy and SciPyMap classificationVisualizing dataAppendixesA - InstallationB - ReferencesC - OGR - online onlyD - OSR - online onlyE - GDAL - online only", 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 InsideGeoprocessing from the ground upRead, write, process, and analyze raster dataVisualize data with matplotlibWrite custom geoprocessing toolsThree additional appendixes available onlineAbout the ReaderTo read this book all you need is a basic knowledge of Python or a similar programming language.About the AuthorChris Garrard works as a developer for Utah State University and teaches a graduate course on Python programming for GIS.Table of ContentsIntroductionPython basicsReading and writing vector dataWorking with different vector file formatsFiltering data with OGRManipulating geometries with OGRVector analysis with OGRUsing spatial reference systemsReading and writing raster dataWorking with raster dataMap algebra with NumPy and SciPyMap classificationVisualizing dataAppendixesA - InstallationB - ReferencesC - OGR - online onlyD - OSR - online onlyE - GDAL - online only"