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.
Nan Xia (600675) +5 more
core +1 more source
[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
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
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
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
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
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
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
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
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

