Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Edzer Pebesma
Title: spacetime: Spatio-Temporal Data in R
Abstract: This document describes classes and methods designed to deal with different types of spatio-temporal data in R implemented in the R package spacetime, and provides examples for analyzing them. It builds upon the classes and methods for spatial data from package sp, and for time series data from package xts. The goal is to cover a number of useful representations for spatio-temporal sensor data, and results from predicting (spatial and/or temporal interpolation or smoothing), aggregating, or subsetting them, and to represent trajectories. The goals of this paper is to explore how spatio-temporal data can be sensibly represented in classes, and to find out which analysis and visualisation methods are useful and feasible. We discuss the time series convention of representing time intervals by their starting time only. This document is the main reference for the R package spacetime, and is available (in updated form) as a vignette in this package.

Page views:: 23363. Submitted: 2011-10-05. Published: 2012-11-13.
Paper: spacetime: Spatio-Temporal Data in R     Download PDF (Downloads: 25074)
spacetime_1.0-0.tar.gz: R source package Download (Downloads: 1498; 1MB)
v51i07.R: R example code from the paper Download (Downloads: 1911; 13KB)

DOI: 10.18637/jss.v051.i07

This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.