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Learning R for Geospatial Analysis

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关注 过往记忆大数据 微信公众号,回复 6179 获取本书下载地址。

子标题:Leverage the power of R to elegantly manage crucial geospatial analysis tasks

Learning R for Geospatial Analysis
作者:
Michael Dorman
ISBN-10:
1783984368
出版年份:
2014
页数:
364
语言:
English
文件大小:
9.9 MB
文件格式:
PDF

图书描述

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

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