Spatial prediction of soil disturbance caused by forest logging using generalized additive models and GIS
Sign Up to like & getrecommendations! Published in 2019 at "European Journal of Forest Research"
DOI: 10.1007/s10342-019-01180-8
Abstract: Forest soil conditions can be affected by ground-based harvesting; the degree of impact depends upon management factors, location of stands, soil, and topographical conditions. The present study predicted the area and extent of the disturbance… read more here.
Keywords: spatial prediction; soil disturbance; using generalized; generalized additive ... See more keywords
Presence-only species distribution models are sensitive to sample prevalence: Evaluating models using spatial prediction stability and accuracy metrics
Sign Up to like & getrecommendations! Published in 2020 at "Ecological Modelling"
DOI: 10.1016/j.ecolmodel.2020.109194
Abstract: Abstract Species distribution modelling (SDM) is an important tool for ecologists, but different algorithms and different sampling strategies produce different results. Using virtual species with differing characteristics, this study investigated the effect of sampling strategy… read more here.
Keywords: spatial prediction; stability; models using; prediction stability ... See more keywords
Research on spatial prediction technology for mitigating tunnel inrush disasters under complex geological conditions in China’s Hengduan Mountain Range
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-85796-4
Abstract: The proportion of railway high-altitude buried tunnels in complex and dangerous mountainous areas in southwest China is exceptionally high. With the characteristics of suddenness, intermittency, instantaneousness, and destruction, inrushinrushing and collapse is one of the… read more here.
Keywords: spatial prediction; information; collapse; hengduan mountain ... See more keywords
An ensemble spatial prediction method considering geospatial heterogeneity
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2024.2358052
Abstract: Abstract Ensemble learning synthesizes the advantages of different models and has been widely applied in the field of spatial prediction. However, the nonlinear constraints of spatial heterogeneity on the model ensemble process make it difficult… read more here.
Keywords: spatial prediction; method; ensemble learning; prediction ... See more keywords
Spatial prediction based on Third Law of Geography
Sign Up to like & getrecommendations! Published in 2018 at "Annals of GIS"
DOI: 10.1080/19475683.2018.1534890
Abstract: ABSTRACT Current methods of spatial prediction are based on either the First Law of Geography or the statistical principle or the combination of these two. The Second Law of Geography contributes to the revision of… read more here.
Keywords: spatial prediction; geography; prediction based; law geography ... See more keywords
Geoparcel-Based Spatial Prediction Method for Grassland Fractional Vegetation Cover Mapping
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2021.3110896
Abstract: Grassland resources guarantee the balance of ecosystems and the sustainable development of animal husbandry. Spatial information is essential for grass resource management in pastoral areas, which can be extracted quickly on a large-scale by using… read more here.
Keywords: remote sensing; spatial prediction; method; fractional vegetation ... See more keywords
More Data or a Better Model? Figuring Out What Matters Most for the Spatial Prediction of Soil Carbon
Sign Up to like & getrecommendations! Published in 2017 at "Soil Science Society of America Journal"
DOI: 10.2136/sssaj2016.11.0376
Abstract: Modeling techniques used in digital soil carbon mapping encompass a variety of algorithms to address spatial prediction problems such as spatial non-stationarity, nonlinearity and multi-colinearity. A given study site can inherit one or more such… read more here.
Keywords: model; spatial prediction; prediction; soil carbon ... See more keywords
High-Resolution Spatial Prediction of Daily Average PM2.5 Concentrations in Jiangxi Province via a Hybrid Model Integrating Random Forest and XGBoost
Sign Up to like & getrecommendations! Published in 2025 at "Atmosphere"
DOI: 10.3390/atmos16121317
Abstract: Numerous machine learning models have been widely used for the spatial prediction of PM2.5 mass concentrations in the field of remote sensing, but most studies rely on single models, limiting their ability to capture complex… read more here.
Keywords: spatial prediction; random forest; hybrid model; model ... See more keywords
A Spatial Prediction-Based Motion-Compensated Frame Rate Up-Conversion
Sign Up to like & getrecommendations! Published in 2019 at "Future Internet"
DOI: 10.3390/fi11020026
Abstract: In Multimedia Internet of Things (IoT), in order to reduce the bandwidth consumption of wireless channels, Motion-Compensated Frame Rate Up-Conversion (MC-FRUC) is often used to support the low-bitrate video communication. In this paper, we propose… read more here.
Keywords: motion; spatial prediction; rate conversion; motion compensated ... See more keywords