Modeling larval malaria vector habitat locations using landscape features and cumulative precipitation measures

Table 6 Comparison of models predicting the presence of larval habitats in the 10 by 10 km area

Model	AUC	Sensitivity	Specificity	PCC	Kappa
RF: TWI + DS + Soil + LULC + Precip.	0.864	0.806	0.789	0.790	0.216
RF: TWI + DS + Soil + LULC	0.808	0.750	0.725	0.726	0.145
LR: TWI + DS + Soil + Precip.	0.799	0.748	0.709	0.711	0.133

Two random forest (RF) models are shown, with and without Precip. (the cumulative 14-day precipitation total). The best logistic regression (LR) model is also shown. TWI, topographic wetness index; LULC, land use-land cover; DS, distance to the nearest stream; AUC, area under the receiver operating curve; PCC, percent correctly classified.

ISSN: 1476-072X