sfislands: An R Package for Accommodating Islands and Disjoint Zones in Areal Spatial Modelling

Fuente: arXiv
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Autori principali: Horan, Kevin, Domijan, Katarina, Brunsdon, Chris
Natura: Preprint
Pubblicazione: 2024
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author Horan, Kevin
Domijan, Katarina
Brunsdon, Chris
author_facet Horan, Kevin
Domijan, Katarina
Brunsdon, Chris
contents Fitting areal models which use a spatial weights matrix to represent relationships between geographical units can be a cumbersome task, particularly when these units are not well-behaved. The two chief aims of sfislands are to simplify the process of creating an appropriate neighbourhood matrix, and to quickly visualise the predictions of subsequent models. The package uses visual aids in the form of easily-generated maps to help this process. This paper demonstrates how sfislands could be useful to researchers. It begins by describing the package's functions in the context of a proposed workflow. It then presents three worked examples showing a selection of potential use-cases. These range from earthquakes in Indonesia, to river crossings in London, and hierarchical models of output areas in Liverpool. We aim to show how the sfislands package streamlines much of the human workflow involved in creating and examining such models.
format Preprint
id arxiv_https___arxiv_org_abs_2404_09863
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle sfislands: An R Package for Accommodating Islands and Disjoint Zones in Areal Spatial Modelling
Horan, Kevin
Domijan, Katarina
Brunsdon, Chris
Methodology
Computation
Fitting areal models which use a spatial weights matrix to represent relationships between geographical units can be a cumbersome task, particularly when these units are not well-behaved. The two chief aims of sfislands are to simplify the process of creating an appropriate neighbourhood matrix, and to quickly visualise the predictions of subsequent models. The package uses visual aids in the form of easily-generated maps to help this process. This paper demonstrates how sfislands could be useful to researchers. It begins by describing the package's functions in the context of a proposed workflow. It then presents three worked examples showing a selection of potential use-cases. These range from earthquakes in Indonesia, to river crossings in London, and hierarchical models of output areas in Liverpool. We aim to show how the sfislands package streamlines much of the human workflow involved in creating and examining such models.
title sfislands: An R Package for Accommodating Islands and Disjoint Zones in Areal Spatial Modelling
topic Methodology
Computation
url https://arxiv.org/abs/2404.09863