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- W3008288076 abstract "The analysis of spatial data involves different procedures that typically include model estimation, spatial prediction, and simulation. Model estimation or model inference refers to determining a suitable spatial model and the “best” values for the parameters of the model. Parameter estimation is not necessary for certain simple deterministic models (e.g., nearest neighbor method), since such models do not involve any free parameters. Model selection is then used to choose the “optimal model” (based on some specified statistical criterion) among a suite of candidates." @default.
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- W3008288076 date "2020-01-01" @default.
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- W3008288076 title "Spatial Prediction Fundamentals" @default.
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