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Meijie Chen, Yumin Chen, John P. Wilson, Huangyuan Tan and Tianyou Chu
The COVID-19 pandemic has led to many deaths and economic disruptions across the world. Several studies have examined the effect of corresponding health risk factors in different places, but the problem of spatial heterogeneity has not been adequately ad...
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Bo Zhang, Weidong Li, Nicholas Lownes and Chuanrong Zhang
Public transit infrastructure may increase residential property values by improving accessibility and reducing commute expenses in urban areas. Prior studies have investigated the impacts of the proximity to public transportation on property values and o...
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Radoslaw Cellmer, Aneta Cichulska and Miroslaw Belej
The main part of the study will be to demonstrate that models taking into account spatial heterogeneity (Geographically Weighted Regression and Mixed Geographically Weighted Regression) which reproduce housing market determinants better reflect market re...
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Wenbo Zhang, Yinfei Xi and Satish V. Ukkusuri
Recent years have seen the big growth of app-based taxi services by not only competing for rides with street-hailing taxi services but also generating new taxi rides. Moreover, the innovation in dynamic pricing also makes it competitive in both passenger...
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Qingbin Wei, Lianjun Zhang, Wenbiao Duan and Zhen Zhen
Objective: This study investigated the relationships between PM2.5 and 5 criteria air pollutants (SO2, NO2, PM10, CO, and O3) in Heilongjiang, China, from 2015 to 2018 using global and geographically and temporally weighted regression models. Methods: Or...
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Oh Seok Kim, Jeffrey B. Nugent, Zhuang-Fang Yi, Joshua P. Newell and Andrew J. Curtis
This paper introduces a mixed method approach for analyzing the determinants of natural latex yields and the associated spatial variations and identifying the most suitable regions for producing latex. Geographically Weighted Regressions (GWR) and Iterat...
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María Quirós Segovia,Sonia Condés Ruiz,Karel Drápela
Pág. e076
Aim of the study: The main objective of this study was to test Geographically Weighted Regression (GWR) for developing height-diameter curves for forests on a large scale and to compare it with Linear Mixed Models (LMM).Area of study: Monospecific stands...
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