Results 41 to 50 of about 13,792,835 (170)

Mass Appraisal Modeling of Real Estate in Urban Centers by Geographically and Temporally Weighted Regression: A Case Study of Beijing’s Core Area

open access: yesLand, 2020
The traditional linear regression model of mass appraisal is increasingly unable to satisfy the standard of mass appraisal with large data volumes, complex housing characteristics and high accuracy requirements.
Daikun Wang, Victor Jing Li, Huayi Yu
doaj   +1 more source

Urban Shrinkage and Surface Urban Heat Islands: Does Population Decline Lead to Cooling? A Spatiotemporal Analysis of China's 89 Shrinking Cities (2001–2019)

open access: yesEarth's Future, Volume 14, Issue 3, March 2026.
Abstract Numerous studies have examined how urban expansion exacerbates Surface Urban Heat Island intensity (SUHII), yet limited attention has been paid to whether and how urban shrinkage mitigates SUHII. This study employed multiple models to analyze the spatiotemporal evolution of surface urban heat island (SUHI) and its driving factors in 89 ...
Haojian Deng   +5 more
wiley   +1 more source

Regional Precipitation Model Based on Geographically and Temporally Weighted Regression Kriging

open access: yesRemote Sensing, 2020
High-resolution precipitation field has been widely used in hydrological and meteorological modeling. This paper establishes the spatial and temporal distribution model of precipitation in Hubei Province from 2006 through 2014, based on the data of 75 ...
Wei Zhang   +5 more
doaj   +1 more source

Identifying the Determinants of Distribution of Oncomelania hupensis Based on Geographically and Temporally Weighted Regression Model along the Yangtze River in China

open access: yesPathogens, 2022
Background: As the unique intermediate host of Schistosoma japonicum, the geographical distribution of Oncomelania hupensis (O. hupensis) is an important index in the schistosomiasis surveillance system. This study comprehensively analyzed the pattern of
Zhe Wang   +6 more
doaj   +1 more source

Penentuan hasil bandwidth optimum model geographically and temporally weighted regression (GTWR) dengan metode cross validation [PDF]

open access: yes, 2017
INDONESIA: Model Geographically and Temporally Weighted Regression (GTWR) merupakan model yang dikembangkan dari model Geographically Weighted Regression (GWR) yang memperhatikan lokasi dan waktu untuk setiap pengamatan.
Farihah, Izza
core  

Spatiotemporal Approaches to Assess the Association of Environmental Risk Factors With Cardiovascular Diseases: A Scoping Review

open access: yesGeoHealth, Volume 10, Issue 1, January 2026.
Abstract Cardiovascular diseases (CVDs) remain a leading cause of mortality globally, with environmental risk factors playing a significant role in their prevalence. This review aims to critically evaluate the current methodologies employed in spatiotemporal analyses of CVDs and provides recommendations to enhance the accuracy and practical application
Vishal Singh   +4 more
wiley   +1 more source

Pemodelan Geographically Temporally Weighted Regression (Gtwr) Dengan Pembobot Fixed Gaussian Kernel Guna Memaksimalkan Peran Aquwares [PDF]

open access: yes, 2020
Geographically temporally weighted regression (GTWR) adalah pengembangan dari model regresi linier global yang dapat mengakomodasi unsur lokasi dan waktu. Pembobot untuk model GTWR ini paling umum menggunakan pembobot fixed gaussian kernel.
Pramudita, Ditia Tahta
core  

The parameter results of OLS, GWR, and GTWR.

open access: yes, 2022
The parameter results of OLS, GWR, and GTWR.
Ya Luo (3585116)   +4 more
core   +1 more source

Exploring the Effects of Contextual Factors on Residential Land Prices Using an Extended Geographically and Temporally Weighted Regression Model

open access: yesLand, 2021
A spatial and temporal heterogeneity analysis of residential land prices, in general, is crucial for maintaining high-quality economic development. Previous studies have attempted to explain the geographical evolution rule by studying spatial-temporal ...
Zhengyuan Chai   +4 more
doaj   +1 more source

Multi‐task graph‐based model for metro flow prediction under dynamic urban conditions

open access: yesComputer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 21, Page 3239-3258, 29 August 2025.
Abstract Accurately predicting metro commuter flows under changing urban conditions is essential for guiding infrastructure investments and service planning. However, existing methods show limited adaptability to evolving urban conditions. To address this, we propose an adaptive graph sharing embedding cascade interaction network (AGSECIN), which ...
Lu Zhao   +7 more
wiley   +1 more source

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