Results 51 to 60 of about 13,792,835 (170)

Estimating spatiotemporal heterogeneous effects of haze pollution on housing rents in China

International Journal of Strategic Property Management
Severe haze pollution significantly affects urban life quality and employment location choices, which in turn impact rental housing demand and housing rents. While numerous studies have delved into the effects of haze pollution on the real estate market,
Dongsheng Zhan, Xuan Zhou, Tianhan Yang
doaj   +1 more source

A Mixed Geographically and Temporally Weighted Regression: Exploring Spatial-Temporal Variations from Global and Local Perspectives

Entropy, 2017
To capture both global stationarity and spatiotemporal non-stationarity, a novel mixed geographically and temporally weighted regression (MGTWR) model accounting for global and local effects in both space and time is presented.
Jiping Liu, Yangyang Zhao, Yi Yang, Shenghua Xu, Fuhao Zhang, Xiaolu Zhang, Lihong Shi, Agen Qiu   +7 more
doaj   +1 more source

Spatio-Temporal Variation and Driving Forces of Land-Use Change from 1980 to 2020 in Loess Plateau of Northern Shaanxi, China

Land, 2021
Land-use cover is undergoing intense change under global climate change and rapid urbanization, especially in the Loess Plateau, where ecological restoration policies like Green for Grain Project (GFGP) have been vigorously implemented since the 1980s ...
Xue Zhou, Yang Zhou
doaj   +1 more source

Leveraging User‐Generated Spatial Content for Urban Crime Analysis: A Data‐Driven Approach

Transactions in GIS, Volume 29, Issue 5, August 2025.
ABSTRACT Street crimes in urban areas are influenced by the physical characteristics and built environment of a city, including road networks, visibility, lighting, and land use distribution. Traditionally, authorized data sources such as city maps have been used to investigate these urban form parameters. However, with advancements in technology, user‐
Mohammad Hadi Ahmadi, Mohammad Taleai
wiley   +1 more source

Fast Spatio‐Temporally Varying Coefficient Modeling With Reluctant Interaction Selection

Geographical Analysis, Volume 57, Issue 3, Page 521-539, July 2025.
ABSTRACT Spatially and temporally varying coefficient (STVC) models are attracting attention as a flexible tool to explore the spatio‐temporal patterns in regression coefficients. However, these models often struggle with balancing the computational efficiency, flexibility, and interpretability of the coefficients.
Daisuke Murakami, Shinichiro Shirota, Seiji Kajita, Mami Kajita   +3 more
wiley   +1 more source

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

The Spatiotemporal Evolution of Ecosystem Health and Its Driving Factors in Karst Rocky Desertification Areas A Case Study of Guizhou Province, China

Ecology and Evolution, Volume 15, Issue 5, May 2025.
The Spatiotemporal Evolution of Ecosystem Health and Its Driving Factors in Karst Rocky Desertification Areas A Case Study of Guizhou Province, China. ABSTRACT Understanding the health status and drivers of ecosystems in karst desertification areas is crucial for sustainable development.
Beibei Zhang, Zhongfa Zhou
wiley   +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

Quantifying Uncertainty in ML‐Derived Atmosphere Remote Sensing: Hourly Surface NO2 Estimation With GEMS

Geophysical Research Letters, Volume 51, Issue 18, 28 September 2024.
Abstract Accurate estimation of nitrogen dioxide (NO2) levels at high spatio‐temporal resolution is crucial for atmospheric research and public health assessments. This study introduces a novel machine learning (ML) framework enhanced with uncertainty quantification (UQ) to predict hourly NO2 concentrations over East Asia.
Qin He, Kai Qin, Jason Blake Cohen, Ding Li, Jhoon Kim   +4 more
wiley   +1 more source

Components 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