cubble: An R Package for Organizing and Wrangling Multivariate Spatio-temporal Data
arxiv(2022)
摘要
Multivariate spatio-temporal data refers to multiple measurements taken
across space and time. For many analyses, spatial and time components can be
separately studied: for example, to explore the temporal trend of one variable
for a single spatial location, or to model the spatial distribution of one
variable at a given time. However for some studies, it is important to analyse
different aspects of the spatio-temporal data simultaneouly, like for instance,
temporal trends of multiple variables across locations. In order to facilitate
the study of different portions or combinations of spatio-temporal data, we
introduce a new data structure, cubble, with a suite of functions enabling easy
slicing and dicing on the different components spatio-temporal components. The
proposed cubble structure ensures that all the components of the data are easy
to access and manipulate while providing flexibility for data analysis. In
addition, cubble facilitates visual and numerical explorations of the data
while easing data wrangling and modelling. The cubble structure and the
functions provided in the cubble R package equip users with the capability to
handle hierarchical spatial and temporal structures. The cubble structure and
the tools implemented in the package are illustrated with different examples of
Australian climate data.
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关键词
wrangling multivariate
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