Results 31 to 40 of about 13,792,835 (170)

4D-GTWR

, 2019
Geographically weighted regression model (GWR) and space-time geographically weighted regression model (GTWR) are constructed without considering the four-dimensional spatial-temporal heterogeneity.
NO Name (7492852)
core   +1 more source

Spatiotemporal impacts of human activities and socio-demographics during the COVID-19 outbreak in the US

BMC Public Health, 2022
Background Understanding non-epidemiological factors is essential for the surveillance and prevention of infectious diseases, and the factors are likely to vary spatially and temporally as the disease progresses. However, the impacts of these influencing
Lu Ling, Xinwu Qian, Shuocheng Guo, Satish V. Ukkusuri   +3 more
doaj   +1 more source

Modeling the Spatiotemporal Association Between COVID‐19 Transmission and Population Mobility Using Geographically and Temporally Weighted Regression

GeoHealth, 2021
The ongoing Coronavirus Disease 2019 (COVID‐19) has posed a serious threat to human public health and global economy. Population mobility is an important factor that drives the spread of COVID‐19. This study aimed to quantitatively evaluate the impact of
Yixiang Chen, Min Chen, Bo Huang, Chao Wu, Wenjia Shi   +4 more
doaj   +1 more source

Estimation of PM_2.5 Concentrations Using Fusion 3 km AOD of Two-Stage Models in Beijing–Tianjin–Hebei, China

Atmosphere
Accurate estimation of fine particulate matter (PM2.5) concentrations at high spatial resolutions is crucial for air quality monitoring and health risk assessment, particularly in heavily polluted regions like Beijing–Tianjin–Hebei, China.
Yuchao Zhang, Xiaowen Xu, Zengfang Fu, Yan Wang, Yangyang Zhao, Fuahao Zhang   +5 more
doaj   +1 more source

Landscape Fragmentation Driven by Land Use Change Dominates the Spatiotemporal Heterogeneity of Non‐Point Source Pollution Loads in Human‐Intensive Basins: A Case Study of the Dongjiang River Basin, China

Land Degradation &Development, Volume 37, Issue 14, Page 10440-10463, 30 August 2026.
ABSTRACT Landscape fragmentation may influence the spatial distribution and temporal variation of non‐point source (NPS) pollution by altering hydrological processes, pollutant transport pathways, and ecosystem service functions. However, under the combined effects of natural factors (e.g., precipitation, topography) and anthropogenic factors (e.g ...
Shilin Cai, Zixuan Qi, Pan Zhang, Hao Yang, Qian Tan, Yanpeng Cai   +5 more
wiley   +1 more source

Linking Grain Planting Patterns to Multidimensional Agricultural Sustainability: Evidence From Landscape Metrics and Spatial Analysis in China

Earth's Future, Volume 14, Issue 8, August 2026.
Abstract Changes in grain planting patterns have been closely linked to substantial increases in crop yields. However, their relationships with the Sustainable Development Goals (SDGs) remain unclear, particularly across multiple SDG dimensions. Clarifying these relationships could help inform progress toward food security and the SDGs.
Ruihua Shen, Kaixuan Wang, Yulian Xia, Shikun Sun, Jingxin Sun, Yali Yin, Yubao Wang, Pute Wu   +7 more
wiley   +1 more source

Measurement and spatio-temporal heterogeneity analysis of the coupling coordinated development among the digital economy, technological innovation and ecological environment

Ecological Indicators, 2023
In-depth exploration of the coupled and coordinated relationship among regional digital economy (DE), technological innovation (TI) and ecological environment (EE) is a vivid embodiment of implementing sustainable development.
Xu Han, Lianying Fu, Chongyang Lv, Jizong Peng   +3 more
doaj   +1 more source

Human Activities Accelerated Increase in Vegetation in Northwest China over the Three Decades

Atmosphere, 2023
Natural ecosystems are changing more quickly because of human activities, the type and intensity of which are directly correlated with vegetation greenness.
Liqin Yang, Hongyan Fu, Chen Zhong, Jiankai Zhou, Libang Ma   +4 more
doaj   +1 more source

Spatiotemporal Modeling and Composite Indices for Pandemic Preparedness: A Novel Geospatial‐Temporal Approach

Geographical Analysis, Volume 58, Issue 3, July 2026.
ABSTRACT This study proposes a geographically and temporally weighted random forest (GTWRF) model for explanatory spatiotemporal analysis of COVID‐19 outcomes. GTWRF extends the conventional geographically weighted random forest by incorporating spatial and temporal dependencies through an adaptive Gaussian weighting scheme.
Hassan K. Ajulo, Theophilus I. Emeto, Faith O. Alele, Oyelola A. Adegboye   +3 more
wiley   +1 more source

The spatiotemporal influence of socioeconomic factors on the number of OpenStreetMap contributors in China

Open Geosciences
The number of OpenStreetMap (OSM) contributors is closely related to both the quality of OSM data and various socioeconomic factors. This study applies the Geographically and Temporally Weighted Regression (GTWR) model to explore the spatiotemporal ...
Li Kaixiang, Liu Lingjia, Yi Minghua, Chen Sidan, Wan Fangqi   +4 more
doaj   +1 more source