Analysis of Land Surface Temperature Driving Factors and Spatial Heterogeneity Research Based on Geographically Weighted Regression Model

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr class="thead"><td class="align_left"> </td><td class="align_center">DEM</td><td class="align_center">NDVI</td><td class="align_center">MNDWI</td><td class="align_center">NUM<sub>POI</sub></td><td class="align_center">AV</td></tr><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td class="align_left">Correlation</td><td class="align_center">−0.037</td><td class="align_center">−18.232</td><td class="align_center">−7.495</td><td class="align_center">0.041</td><td class="align_center">2.612</td></tr><tr><td class="align_left">VIF</td><td class="align_center">1.798</td><td class="align_center">3.315</td><td class="align_center">2.049</td><td class="align_center">1.042</td><td class="align_center">1.231</td></tr><tr class="table-tr"><td colspan="6"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The regression coefficients between LST and driving factors.</div>

Complexity

tab5

Table 5

Table 5: Analysis of Land Surface Temperature Driving Factors and Spatial Heterogeneity Research Based on Geographically Weighted Regression Model 