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05/15/2023
A linearization for stable and fast geographically weighted Poisson regression
Although geographically weighted Poisson regression (GWPR) is a popular ...
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11/19/2022
Spatial regression-based transfer learning for prediction problems
Although spatial prediction is widely used for urban and environmental m...
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09/14/2021
Transformation-based generalized spatial regression using the spmoran package: Case study examples
This study presents application examples of generalized spatial regressi...
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06/30/2021
Analysis of COVID-19 evolution based on testing closeness of sequential data
A practical algorithm has been developed for closeness analysis of seque...
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06/30/2021
Adaptively Robust Geographically Weighted Regression
We develop a new robust geographically weighted regression method in the...
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04/28/2021
Improved log-Gaussian approximation for over-dispersed Poisson regression: application to spatial analysis of COVID-19
In the era of open data, Poisson and other count regression models are i...
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01/11/2021
Compositionally-warped additive mixed modeling for a wide variety of non-Gaussian spatial data
As with the advancement of geographical information systems, non-Gaussia...
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01/10/2021
gwpcorMapper: an interactive mapping tool for exploring geographically weighted correlation and partial correlation in high-dimensional geospatial datasets
Exploratory spatial data analysis (ESDA) plays a key role in research th...
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11/03/2020
Spatially Clustered Regression
Spatial regression or geographically weighted regression models have bee...
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08/08/2020
Scalable model selection for spatial additive mixed modeling: application to crime analysis
A rapid growth in spatial open datasets has led to a huge demand for reg...
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05/20/2020
Balancing spatial and non-spatial variation in varying coefficient modeling: a remedy for spurious correlation
This study discusses the importance of balancing spatial and non-spatial...
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04/13/2020
The GWR route map: a guide to the informed application of Geographically Weighted Regression
Geographically Weighted Regression (GWR) is increasingly used in spatial...
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04/02/2020
Spatiotemporal analysis of urban heatwaves using Tukey g-and-h random field models
The statistical quantification of temperature processes for the analysis...
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07/26/2019
A memory-free spatial additive mixed modeling for big spatial data
This study develops a spatial additive mixed modeling (AMM) approach est...
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05/01/2019
Scalable GWR: A linear-time algorithm for large-scale geographically weighted regression with polynomial kernels
While a number of studies have developed fast geographically weighted re...
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10/06/2018
Low rank spatial econometric models
This article presents a re-structuring of spatial econometric models in ...
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07/17/2018