Spatial Transfer Learning with Simple MLP

TL;DR

This paper explores the application of transfer learning techniques to spatial statistics using a simple multilayer perceptron (MLP) to improve model adaptability across different spatial datasets.

Contribution

It introduces a novel approach to applying transfer learning in spatial statistics with a straightforward MLP model, addressing a gap in current research.

Findings

Transfer learning enhances spatial model performance.

Simple MLP can be effective for spatial data.

Potential for broader application in spatial analysis.

Abstract

First step to investigate the potential of transfer learning applied to the field of spatial statistics