Learning R for Geospatial Analysis

Name: Learning R for Geospatial Analysis
Brand: Packt Publishing Limited
SKU: 9781783984367
Price: 20856 HUF
Availability: InStock

Szerző: Michael Dorman

Nyelv:

Kötés: Puha kötésű

Kiadó: Packt Publishing Limited

Elérhetőség: Beszállítói készleten

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Leverage the power of R to elegantly manage crucial geospatial analysis tasksKey FeaturesWrite power...

Információk a könyvről

Szerző

Michael Dorman

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2014

oldal

364

EAN

9781783984367

ISBN

9781783984367

Enbook ID

03202523

Kiadó

Packt Publishing Limited

Súly

674

Méretek

235 x 193 x 23

Teljes leírás

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

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Learning R for Geospatial Analysis

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