Geographically and temporally weighted neural network for winter wheat yield prediction
Accurate prediction of crop yield is essential for agricultural trading, market risk management
and food security. Although various statistical models and machine learning models have …
and food security. Although various statistical models and machine learning models have …
Influencing factors for right turn lane crash frequency based on geographically and temporally weighted regression models
Introduction: Right-turn lane (RTL) crashes are among the key contributors to intersection
crashes in the US. Unfortunately, the lack of deep insights into understanding the effects of …
crashes in the US. Unfortunately, the lack of deep insights into understanding the effects of …
Poultry manure gleaned antibiotic residues in soil environment: A perspective of spatial variability and influencing factors
The antibiotics released by human and animals end up in the environmental sinks like soil
and water to cause contamination and induce resistance in the microflora. The knowledge of …
and water to cause contamination and induce resistance in the microflora. The knowledge of …
An investigation of the visual features of urban street vitality using a convolutional neural network
Y Qi, S Chodron Drolma, X Zhang, J Liang… - Geo-spatial …, 2020 - Taylor & Francis
As a well-known urban landscape concept to describe urban space quality, urban street
vitality is a subjective human perception of the urban environment but difficult to evaluate …
vitality is a subjective human perception of the urban environment but difficult to evaluate …
Population spatialization with pixel-level attribute grading by considering scale mismatch issue in regression modeling
Population spatialization is widely used for spatially downscaling census population data to
finer-scale. The core idea of modern population spatialization is to establish the association …
finer-scale. The core idea of modern population spatialization is to establish the association …
Spate-gan: Improved generative modeling of dynamic spatio-temporal patterns with an autoregressive embedding loss
From ecology to atmospheric sciences, many academic disciplines deal with data
characterized by intricate spatio-temporal complexities, the modeling of which often requires …
characterized by intricate spatio-temporal complexities, the modeling of which often requires …
[HTML][HTML] Spatiotemporal impacts of human activities and socio-demographics during the COVID-19 outbreak in the US
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 …
prevention of infectious diseases, and the factors are likely to vary spatially and temporally …
Assessment of forest cover changes using multi-temporal Landsat observation
E Moradi, A Sharifi - Environment, Development and Sustainability, 2023 - Springer
Monitoring the changes in forest cover has become an important tool for forest management
due to its impact on climate change, desertification, soil erosion, and flooding. The Zagros …
due to its impact on climate change, desertification, soil erosion, and flooding. The Zagros …
[HTML][HTML] Geostatistics on Real-Time Geodata Streams—High-Frequent Dynamic Autocorrelation with an Extended Spatiotemporal Moran's I Index
T Lemmerz, S Herlé, J Blankenbach - ISPRS International Journal of Geo …, 2023 - mdpi.com
The availability of spatial and spatiotemporal big data is increasing rapidly. Spatially and
temporally high resolved data are especially gathered via the Internet of Things. This data …
temporally high resolved data are especially gathered via the Internet of Things. This data …
Mapping impervious surfaces with a hierarchical spectral mixture analysis incorporating endmember spatial distribution
Impervious surface mapping is essential for urban environmental studies. Spectral Mixture
Analysis (SMA) and its extensions are widely employed in impervious surface estimation …
Analysis (SMA) and its extensions are widely employed in impervious surface estimation …