Modelling spatial processes in quantitative human geography. Issue 1 (2nd January 2022)

• Record Type: Journal Article
• Authors: Fotheringham, A Stewart; Sachdeva, Mehak
• Is Part Of: Annals of GIS. Volume 28:Issue 1(2022)
• Page Start: 5
• Page End: 14
• Publication Date: 2022-01-02
• Subjects: Spatial processes -- local statistical models -- multiscale geographically weighted regression -- spatial scale -- reproducibility; Geographic information systems -- Periodicals; Periodicals; 910.285
• DOI: 10.1080/19475683.2021.1903996
• Languages: English
• ISSNs: 1947-5683

Abstract

ABSTRACT: We discuss the nature of processes relating to human behaviour and how to model such processes when they vary over space. In so doing, we describe the role of local modelling and how the bandwidth parameter, a component of multiscale geographically weighted regression, can inform on the spatial scale over which processes are relatively constant. To do this, we translate properties of spatial data, such as heterogeneity and spatial dependency into the realm of spatial processes. We argue that the modelling of spatially varying processes has important ramifications for how we see the world.