A - Papers appearing in refereed journals
Comber, A., Harris, P., Murakami, D., Nakaya, T., Tsutsumida, N., Yoshida, T. and Brunsdon, C. 2024. Encapsulating Spatially Varying Relationships with a Generalized Additive Model. ISPRS International Journal of Geo-Information. 13 (12), p. 459. https://doi.org/10.3390/ijgi13120459
Authors | Comber, A., Harris, P., Murakami, D., Nakaya, T., Tsutsumida, N., Yoshida, T. and Brunsdon, C. |
---|---|
Abstract | Abstract: This paper describes the use of Generalized Additive Models (GAMs) to create regression models whose coefficient estimates vary with geographic location—spatially varying coefficient (SVC) models. The approach uses Gaussian Process (GP) splines (smooths) for each predictor variable, |
Keywords | Spatial analysis; GAM; Spatial regression; Process spatial heterogeneity |
Year of Publication | 2024 |
Journal | ISPRS International Journal of Geo-Information |
Journal citation | 13 (12), p. 459 |
Digital Object Identifier (DOI) | https://doi.org/10.3390/ijgi13120459 |
Web address (URL) | https://doi.org/10.3390/ijgi13120459 |
Open access | Published as ‘gold’ (paid) open access |
Funder | Biotechnology and Biological Sciences Research Council |
Funder project or code | Resilient Farming Futures (WP3): Digital platforms for supporting national agroecosystem ‘resilience’ through systems adaptations |
Publisher's version | |
Accepted author manuscript | |
Output status | Published |
Publication dates | |
Online | 19 Dec 2024 |
Publication process dates | |
Accepted | 13 Dec 2024 |
Publisher | MDPI |
ISSN | 2220-9964 |
Permalink - https://repository.rothamsted.ac.uk/item/992y7/encapsulating-spatially-varying-relationships-with-a-generalized-additive-model