Identifying Spatiotemporal Clusters by Means of Agglomerative Hierarchical Clustering and Bayesian Regression Analysis with Spatiotemporally Varying Coefficients: Methodology and Application to Dengue Disease in Bandung, Indonesia-Reference-Cited by-同舟云学术

Identifying Spatiotemporal Clusters by Means of Agglomerative Hierarchical Clustering and Bayesian Regression Analysis with Spatiotemporally Varying Coefficients: Methodology and Application to Dengue Disease in Bandung, Indonesia

Published:2020-11-21 Issue:4 Volume:53 Page:767-817
ISSN:0016-7363
Container-title:Geographical Analysis
language:en
Short-container-title:Geogr Anal

Author:

Jaya I Gede Nyoman Mindra¹²^ORCID,Folmer Henk¹

Affiliation:

1. Faculty of Spatial Sciences University of Groningen Groningen The Netherlands

2. Statistics Department Padjadjaran University Bandung Indonesia

Publisher

Wiley

Subject

Earth-Surface Processes,Geography, Planning and Development

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/gean.12264

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3. Alleviating Confounding In Spatio‐Temporal Areal Models with an Application on Crimes Against Women in India;Adin A.;arXiv: Methodology,2020

4. A two-stage approach to estimate spatial and spatio-temporal disease risks in the presence of local discontinuities and clusters

5. Two‐Level Resolution of Relative Risk of Dengue Disease in a Hyperendemic City of Colombia;Adin A.;PLoS One,2018

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