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SPAR-Forest: Spatial Autoregression Model by speedyfrancis is a document available to read on EtoBox.

What is SPAR-Forest: Spatial Autoregression Model about?

The document presents SPAR-Forest, a novel spatial prediction algorithm that combines random forests with spatial smoothing models to predict missing values in small-area spatial data. The algorithm addresses the limitations of traditional machine learning approaches by incorporating residual spatial autocorrelation while maintaining flexible feature-target relationships. Results indicate that SPAR-Forest outperforms existing models in predicting median property prices in Scotland, providing a robust framew

Author

speedyfrancis

Language

EN