Random Forests for Spatially Dependent Data
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DOI: 10.1080/01621459.2021.1950003
Abstract: Spatial linear mixed-models, consisting of a linear covariate effect and a Gaussian process (GP) distributed spatial random effect, are widely used for analyses of geospatial data. We consider the ... read more here.
Keywords: random forests; dependent data; forests spatially; spatially dependent ... See more keywords