"The Great Blackbury Pie" ~ or ~ Focal Area Bias in Geographically Weighted Analysis

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Abstract

Focal and geographically weighted analyses are commonplace in GIS applications across many fields and disciplines. However, where such analyses are based on ‘dense’ datasets (e.g., a raster surface), they can suffer from an unintended bias towards the periphery of the focal zone (neighbourhood), which (counterintuitively) is exacerbated by the use of distance weighting functions. This paper serves to characterise this problem, which we call focal area bias (FAB), present a proposed correction, and point to extensive simulation-based analysis, which demonstrates both the impact that this effect can have on analyses and the efficacy of our proposed solution.
Original languageEnglish
Pages1-5
Number of pages5
Publication statusPublished - 12 Apr 2024
Event32nd Annual GIS Research UK Conference - University of Leeds, Leeds, United Kingdom
Duration: 9 Apr 202412 Apr 2024
https://2024.gisruk.org/

Conference

Conference32nd Annual GIS Research UK Conference
Abbreviated titleGISRUK
Country/TerritoryUnited Kingdom
CityLeeds
Period9/04/2412/04/24
Internet address

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