Cargando…
Incorporating geography into a new generalized theoretical and statistical framework addressing the modifiable areal unit problem
BACKGROUND: All analyses of spatially aggregated data are vulnerable to the modifiable areal unit problem (MAUP), which describes the sensitivity of analytical results to the arbitrary choice of spatial aggregation unit at which data are measured. The MAUP is a serious problem endemic to analyses of...
Autores principales: | Tuson, M., Yap, M., Kok, M. R., Murray, K., Turlach, B., Whyatt, D. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6437958/ https://www.ncbi.nlm.nih.gov/pubmed/30917821 http://dx.doi.org/10.1186/s12942-019-0170-3 |
Ejemplares similares
-
Overcoming inefficiencies arising due to the impact of the modifiable areal unit problem on single-aggregation disease maps
por: Tuson, Matthew, et al.
Publicado: (2020) -
Lumping or splitting: seeking the preferred areal unit for health geography studies
por: Gregorio, David I, et al.
Publicado: (2005) -
Modelling the Relationship between Rainfall and Mental Health Using Different Spatial and Temporal Units
por: Yap, Matthew, et al.
Publicado: (2021) -
Predicting Future Geographic Hotspots of Potentially Preventable Hospitalisations Using All Subset Model Selection and Repeated K-Fold Cross-Validation
por: Tuson, Matthew, et al.
Publicado: (2021) -
Data visualisation to support decision making and equitable healthcare service provision.
por: Whyatt, David, et al.
Publicado: (2017)