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[HTML][HTML] Locally varying geostatistical machine learning for spatial prediction
Abstract Machine learning methods dealing with the spatial auto-correlation of the response
variable have garnered significant attention in the context of spatial prediction. Nonetheless …
variable have garnered significant attention in the context of spatial prediction. Nonetheless …
Applications of geographically weighted machine learning models for predicting soil heavy metal concentrations across mining sites
The accurate prediction of soil heavy metal contamination is crucial for the effective
environmental management of abandoned mining areas. However, conventional machine …
environmental management of abandoned mining areas. However, conventional machine …
Incorporating Spatial Information for Regionalization of Environmental Parameters in Machine Learning Models
Abstract Machine learning models have gained popularity for environmental variable
predictions due to their capacity to capture complex relationships and automate learning …
predictions due to their capacity to capture complex relationships and automate learning …
PEMODELAN LOCALLY COMPENSATED RIDGE GEOGRAPHICALLY WEIGHTED REGRESSION (LCR-GWR) DAN GEOGRAPHICALLY WEIGHTED LASSO (GWL) …
A Nufus - 2024 - digilib.unila.ac.id
Geographically Weighted Regression (GWR) merupakan regresi berganda untuk
memodelkan data spasial untuk mengatasi masalah heterogenitas spasial. Permasalahan …
memodelkan data spasial untuk mengatasi masalah heterogenitas spasial. Permasalahan …