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paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Learning R for Geospatial Analysis
Published by Packt Publishing, Limited, 2014
ISBN 10: 1783984368 ISBN 13: 9781783984367
Language: English
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Learning R for Geospatial Analysis
Published by Packt Publishing - Ebooks Account, 2014
ISBN 10: 1783984368 ISBN 13: 9781783984367
Language: English
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Learning R for Geospatial Analysis
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Learning R for Geospatial Analysis
Published by Packt Publishing 2014-12-26, 2014
ISBN 10: 1783984368 ISBN 13: 9781783984367
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Learning R for Geospatial Analysis
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Learning R for Geospatial Analysis
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Learning R for Geospatial Analysis
Published by Packt Publishing Limited, 2023
ISBN 10: 1783984368 ISBN 13: 9781783984367
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Learning R for Geospatial Analysis
Published by Packt Publishing Limited, 2023
ISBN 10: 1783984368 ISBN 13: 9781783984367
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Learning R for Geospatial Analysis
Published by Packt Publishing Limited, 2014
ISBN 10: 1783984368 ISBN 13: 9781783984367
Language: English
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Über den AutorrnrnMichael Dorman is currently a PhD candidate at the Department of Geography and Environmental Development, Ben-Gurion University of the Negev. His research explores the response of planted pine forests to changing climate t.
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Leverage the power of R to elegantly manage crucial geospatial analysis tasks Key Features Write powerful R scripts to manipulate your spatial data Gain insight from spatial patterns utilizing R's advanced computation and visualization capabilities Work within a single spatial analysis environment from start to finish Book Description R is a simple, effective, and comprehensive programming language and environment that is gaining ever-increasing popularity among data analysts. This book provides you with the necessary skills to successfully carry out complete geospatial data analyses, from data import to presentation of results. Learning R for Geospatial Analysis is composed of step-by-step tutorials, starting with the language basics before proceeding to cover the main GIS operations and data types. Visualization of spatial data is vital either during the various analysis steps and/or as the final product, and this book shows you how to get the most out of R's visualization capabilities. The book culminates with examples of cutting-edge applications utilizing R's strengths as a statistical and graphical tool. What you will learn Make inferences from tables by joining, reshaping, and aggregating Familiarize yourself with the R geospatial data analysis ecosystem Prepare reproducible, publication-quality plots and maps Efficiently process numeric data, characters, and dates Reshape tabular data into the necessary form for the specific task at hand Write R scripts to automate the handling of raster and vector spatial layers Process elevation rasters and time series visualizations of satellite images Perform GIS operations such as overlays and spatial queries between layers Spatially interpolate meteorological data to produce climate maps.
