SPATIOTEMPORAL DATA REPRESENTATION IN R

Recent advances in devices that collect geospatial information have produced massive spatiotemporal data sets. Earth observation and GPS satellites, sensor networks and mobile gadgets are examples of technologies that have created large data sets with better spatial and temporal resolution than ever...

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Bibliographic Details
Published inRevista brasileira de cartografia Vol. 69; no. 5
Main Authors Dos santos, Lorena alves, Ferreira, Karine Reis, De Queiroz, Gilberto Ribeiro, Vinhas, Lubia
Format Journal Article
LanguageEnglish
Published Universidade Federal de Uberlândia 13.05.2017
Subjects
Análise de dados espaço-temporal
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Summary:Recent advances in devices that collect geospatial information have produced massive spatiotemporal data sets. Earth observation and GPS satellites, sensor networks and mobile gadgets are examples of technologies that have created large data sets with better spatial and temporal resolution than ever. This scenario brings a challenge for Geoinformatics: We need software tools to represent process and analyze these large data sets effi ciently. R is an environment widely used for data analysis. In this work, we present a study of spatiotemporal data representation in R. We evaluate R packages to access and create three spatiotemporal data types as diff erent views on the same observation set: time series, trajectories and coverage.
ISSN:0560-4613
1808-0936
DOI:10.14393/rbcv69n5-44008