Learning R for Geospatial Analysis
- نوع فایل : کتاب
- زبان : انگلیسی
- نویسنده : Michael Dorman
- چاپ و سال / کشور: 2014
- تعداد صفحه : 364
- شابک / ISBN : 1783984368
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
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
