Results 41 to 50 of about 1,224 (159)

Spatial distribution map of PM2.5 concentration in four seasons inverted by the GTWR model in Xinjiang.

open access: yes, 2023
Spatial distribution map of PM2.5 concentration in four seasons inverted by the GTWR model in Xinjiang.
Nan Xia (600675)   +5 more
core   +1 more source

Analysis of the Spatial Temporal Evolution Pattern and Influencing Factors of Grain Production in Sichuan Province of China

open access: yes智慧农业
[Objective]Sichuan province, recognized as a strategic core region for China's food security, exhibits spatiotemporal dynamics in grain production that have significant implications for regional resource allocation and national food strategies.
ZHENG Ling   +6 more
doaj   +1 more source

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

open access: yesBMC 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   +3 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

open access: yesLand 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   +5 more
wiley   +1 more source

Estimation of PM2.5 Concentrations Using Fusion 3 km AOD of Two-Stage Models in Beijing–Tianjin–Hebei, China

open access: yesAtmosphere
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   +5 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

open access: yesLand, 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

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

open access: yesEarth'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   +7 more
wiley   +1 more source

Spatiotemporal Nonstationary Robust Modeling Between Luojia1-01 Night-Time Light Imagery and Urban Community Average Residence Price

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
This article is the first to propose a novel spatiotemporal nonstationary robust modeling between high spatial resolution Luojia1-01 night-time light intensity (NTLI) and urban community average residence price (UCARP), which encodes the spatiotemporal ...
Chang Li   +4 more
doaj   +1 more source

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

open access: yesGeographical 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   +3 more
wiley   +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

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