Spatial Prediction of COVID-19 in China Based on Machine Learning Algorithms and Geographically Weighted Regression

<div>Spatial distribution of WP in China at the city level. Red marked areas represent the obviously underestimated cities by RF with relatively low WP (&lt;0.40). Pink and cyan marked areas represent the obviously overestimated and underestimated cities by RF with relatively high WP (&gt;0.65).</div>

Computational and Mathematical Methods in Medicine

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Figure 4

Figure 4: Spatial Prediction of COVID-19 in China Based on Machine Learning Algorithms and Geographically Weighted Regression 