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

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/cmmm/volume-2021/7196492/figures/7196492.fig.003a.svgz" name="7196492.fig.003a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Spatial distribution of the absolute error of RF</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/cmmm/volume-2021/7196492/figures/7196492.fig.003b.svgz" name="7196492.fig.003b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Spatial distribution of the absolute error of GWR</td></tr></table>

<div>Spatial distribution of the absolute error of RF (a) and GWR (b). Pink and cyan marked areas represent overestimated and underestimated cities, respectively.</div>

Computational and Mathematical Methods in Medicine

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Figure 3

Figure 3: Spatial Prediction of COVID-19 in China Based on Machine Learning Algorithms and Geographically Weighted Regression 