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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 5-14 |
| Number of pages | 10 |
| Journal | Annals of GIS |
| Volume | 28 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2022 |
Keywords
- Spatial processes
- local statistical models
- multiscale geographically weighted regression
- reproducibility
- spatial scale
ASJC Scopus subject areas
- Computer Science Applications
- Earth and Planetary Sciences(all)