The R package estdaR for spatiotemporal analysis: an application for Chile
Topics: Spatial Analysis & Modeling
, Urban Geography
, South America
Keywords: R package, spatiotemporal dynamics, Markov chain, spatial effects, Chile
Session Type: Virtual Paper Abstract
Day: Monday
Session Start / End Time: 2/28/2022 11:20 AM (Eastern Time (US & Canada)) - 2/28/2022 12:40 PM (Eastern Time (US & Canada))
Room: Virtual 11
Authors:
Coro Chasco, Universidad Autonoma de Madrid
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Abstract
This paper presents a methodological procedure to evaluate the influence of spatial proximity on evolution of spatial units (e.g. cities) to detect differences in their spatiotemporal dynamics. The six-step method based on a set of statistical methods can be computed with a new R package: estdaR. The first step consists of the usual characterization of the cross-sectional distribution of the spatial units by means of nonparametric estimations of density functions for a set of significant years. In the second and third steps, the growth process is modeled as a first-order stationary Markov chain to evaluate the effect of global and local spatial autocorrelation on the transition probabilities with a set of indices based on the spatial version of the standard Markov chain. The fourth, fifth, and sixth steps perform in-depth analysis to detect the existence and interaction of spatial regimes in the movement direction and ranking mobility of spatial distribution. We apply this novel strategy for the period 1930–2002 to analyze the entire Chilean urban system—not only the Central Zone, in which most of the. population and economic activities are concentrated, but also other urban zones in the country.
The R package estdaR for spatiotemporal analysis: an application for Chile
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Virtual Paper Abstract
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