A - Papers appearing in refereed journals
Harris, P. 2019. A simulation study on specifying a regression model for spatial data: choosing between heterogeneity and autocorrelation effects. Geographical Analysis . 51 (2), pp. 151-181.
In this simulation study, regressions specified with autocorrelation effects are compared against those with relationship heterogeneity effects, and in doing so, provides guidance on their use. Regressions investigated are: (1) multiple linear regression, (2) a simultaneous autoregressive error model, and (3) geographically weighted regression. The first is nonspatial and acts as a control, the second accounts for stationary spatial autocorrelation via the error term, while the third captures spatial heterogeneity through the modeling of nonstationary relationships between the response and predictor variables. The geostatistical‐based simulation experiment generates data and coefficients with known multivariate spatial properties, all within an area‐unit spatial setting. Spatial autocorrelation and spatial heterogeneity effects are varied and accounted for. On fitting the regressions, that each have different assumptions and objectives, to very different geographical processes, valuable insights to their likely performance are uncovered. Results objectively confirm an inherent interrelationship between autocorrelation and heterogeneity, that results in an identification problem when choosing one regression over another. Given this, recommendations on the use and implementation of these spatial regressions are suggested, where knowledge of the properties of real study data and the analytical questions being posed are paramount.
|Year of Publication||2019|
|Journal citation||51 (2), pp. 151-181|
|Digital Object Identifier (DOI)||doi:10.1111/gean.12163|
|Open access||Published as ‘gold’ (paid) open access|
|Funder||BBSRC Newton funding|
|Biotechnology and Biological Sciences Research Council|
|Funder project or code||S2N - Soil to Nutrition - Work package 2 (WP2) - Adaptive management systems for improved efficiency and nutritional quality|
|The North Wyke Farm Platform- National Capability [2017-22]|
|Online||22 May 2018|
|Publication process dates|
|Accepted||09 Mar 2018|
|Copyright license||CC BY|
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