Learning R for Geospatial Analysis.

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....

Full description

Saved in:
Bibliographic Details
Online Access: Full text (MCPHS users only)
Main Author: Dorman, Michael
Format: Electronic eBook
Language:English
Published: Packt Publishing, 2014
Subjects:
Local Note:ProQuest Ebook Central
Description
Summary: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.
Physical Description:1 online resource
ISBN:1322566801
9781322566801
9781783984374
1783984376
1783984368
9781783984367
Language:English.
Source of Description, Etc. Note:Print version record.