Results 181 to 190 of about 2,700 (200)

Geographically and temporally neural network weighted regression for modeling spatiotemporal non-stationary relationships

International Journal of Geographical Information Science, 2021
Geographically weighted regression (GWR) and geographically and temporally weighted regression (GTWR) are classic methods for estimating non-stationary relationships.
Bo Huang, Sensen Wu, Zhenhong Du
exaly   +2 more sources

Regional Precipitation Model Based on Geographically and Temporally Weighted Regression Kriging [PDF]

Remote 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 ...
Hugo Loaiciga, Dan Liu
exaly   +2 more sources

Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices

International Journal of Geographical Information Science, 2010
By incorporating temporal effects into the geographically weighted regression (GWR) model, an extended GWR model, geographically and temporally weighted regression (GTWR), has been developed to deal with both spatial and temporal nonstationarity ...
Bo Huang, Bo Wu
exaly   +2 more sources

Spatiotemporal Influence of Urban Environment on Taxi Ridership Using Geographically and Temporally Weighted Regression

ISPRS International Journal of Geo-Information, 2019
Taxicabs play an important role in urban transit systems, and their ridership is significantly influenced by the urban built environment. The intricate relationship between taxi ridership and the urban environment has been explored using either ...
Bo Huang, Shunzhi Zhu, Xinxin Zhang
exaly   +2 more sources

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

Land, 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, Yi Yang, Ling Hao, Yangyang Zhao, Yonghu Fu   +4 more
exaly   +2 more sources

Multiscale geographically and temporally weighted regression with a unilateral temporal weighting scheme and its application in the analysis of spatiotemporal characteristics of house prices in Beijing

International Journal of Geographical Information Science, 2021
Tung Fung, Yee Leung, Yu Zhou
exaly  

Spatial-Temporal Epidemiology of COVID-19 Using a Geographically and Temporally Weighted Regression Model

Symmetry, 2022
Sifriyani Sifriyani, Dedi Rosadi, Syatirah Jalaluddin   +2 more
exaly  

Introducing bootstrap test technique to identify spatial heterogeneity in geographically and temporally weighted regression models

Spatial Statistics, 2022
Zhimin Hong, Jiayuan Wang
exaly  

Characterizing the complex influence of the urban built environment on the dynamic population distribution of Shenzhen, China, using geographically and temporally weighted regression

Environment and Planning B: Urban Analytics and City Science, 2021
Bo Huang, Jionghua Wang, Rongrong Li
exaly