Results 71 to 80 of about 1,224 (159)

Estimation results of GTWR model.

Coronavirus disease 2019 (COVID-19) has brought dramatic changes in our daily life, especially in human mobility since 2020. As the major component of the integrated transport system in most cities, taxi trips represent a large portion of residents ...
Shen Zhang (302856), Yanan Zhang (1322391), Xueliang Sui (18389395)   +2 more
core   +1 more source

Spatiotemporal Evolution and Driving Mechanisms of Bike-Sharing-to-Metro Feeder Trips Based on OPGD-GTWR Models

Applied Sciences
Clarifying the spatiotemporal evolution and driving mechanisms of bike-sharing-to-metro feeder trips (BSMF) is key to optimizing urban public transport’s first-and-last-mile connectivity and advancing low-carbon development.
Wei Li, Dong Dai, Yixin Chen, Hong Chen, Zhaofei Wang   +4 more
doaj   +1 more source

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

Land, 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

Impacts and Spatiotemporal Differentiation of Built Environments on the Urban Heat Island Effect in Cold-Climate Cities Based on Local Climate Zones

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Urbanization has increased the surface urban heat island (SUHI) effect. This study uses local climate zones (LCZ) and urban built environment characteristics (UBECs) to explore the factors influencing land surface temperature (LST) and SUHI in various ...
Zhe Zhang, Yukuan Dong, Chunlin Li, Chengrun Wu, Qiushi Wang, Xiao Liu   +5 more
doaj   +1 more source

Estimasi Parameter Model Geographically Temporally Weighted Regression (GTWR) dengan Fungsi Pembobot Exponential

, 2018
ABSTRAK Geographically and Temporally Weighted Regression (GTWR) merupakan metode pengembangan dari Geographically Weighted Regression yang mengakomodasi adanya heterogenitas secara spatial (lokasi) dan secara temporal (waktu).
Jannah, Hisbiyatul
core  

Estimating monthly China XCO2 based on DQ-1 data and spatiotemporal heterogeneous filtering model

International Journal of Digital Earth
Satellite remote sensing is vital for global CO2 monitoring, yet active remote sensing suffers from discontinuous coverage despite overcoming passive technique limitations in cloudy or low-light conditions.
Daoyong Zhu, Yumin Chen, Ge Han, Huangyuan Tan, Binjie Chen, Junhan Luo   +5 more
doaj   +1 more source

Scatter density map of fitting PM_2.5 values estimated by SLR, GWR and GTWR models and PM_2.5 values monitored by stations from 2015 to 2020.

, 2023
Scatter density map of fitting PM2.5 values estimated by SLR, GWR and GTWR models and PM2.5 values monitored by stations from 2015 to 2020.
Nan Xia (600675), Yitu Guo (15453198), Wenyue Hai (12378729), Weilin Quan (15453195), Jimi Song (15453201), Bowen Zhang (595078)   +5 more
core   +1 more source

Spatiotemporal Impact of Metro on Land Use Types and Development Intensity

Land
The metro system is a key driver of urban land use development; however, its spatiotemporal impact mechanisms remain insufficiently understood. This study investigates the effects of metro development on land use types and development intensity in Wuhan,
Yunfei Xu, Jun Wang, Weiming Zhang, Hong Yang, Heping Li   +4 more
doaj   +1 more source

Estimasi Parameter Model Geographically Temporally Weighted Regression (GTWR) dengan fungsi Pembobot Adaptive Gaussian Kernel

, 2018
ABSTRAK Geographically and Temporally Weighted Regression (GTWR) merupakan metode pengembangan dari Geographically Weighted Regression yang mengakomodasi adanya heterogenitas secara spatial (lokasi) dan secara temporal (waktu).
Sari, Agustiningsih Indah
core  

Spatio-Temporal Dual Kriging with Adaptive Coefficient Drift Function

Mathematics
Research on spatio-temporal geostatistical modeling remains a critical challenge in numerous scientific and engineering disciplines. This paper introduces a novel extension of dual kriging, called spatio-temporal dual kriging (ST-DK), in which drift ...
Chalida Kongsanun, Nawinda Chutsagulprom, Sompop Moonchai   +2 more
doaj   +1 more source