Learning R for Geospatial Analysis
Cód:
491_9781783984367
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Leverage the power of R to elegantly manage crucial geospatial analysis tasksKey FeaturesWrite powerful R scripts to manipulate your spatial dataGain insight from spatial patterns utilizing Rs advanced computation and visualization capabilitiesWork within a single spatial analysis environment from start to finishBook DescriptionR 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 Rs visualization capabilities. The book culminates with examples of cutting-edge applications utilizing Rs strengths as a statistical and graphical tool.What you will learnMake inferences from tables by joining, reshaping, and aggregatingFamiliarize yourself with the R geospatial data analysis ecosystemPrepare reproducible, publication-quality plots and mapsEfficiently process numeric data, characters, and datesReshape tabular data into the necessary form for the specific task at handWrite R scripts to automate the handling of raster and vector spatial layersProcess elevation rasters and time series visualizations of satellite imagesPerform GIS operations such as overlays and spatial queries between layersSpatially interpolate meteorological data to produce climate maps
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