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Table 8 Percent of correctly discriminated species of the subgenus Boophilus , using the sets of descriptive covariates

From: A global set of Fourier-transformed remotely sensed covariates for the description of abiotic niche in epidemiological studies of tick vector species

Records reported as AUC annulatus australis decoloratus geigyi microplus
1. Discriminant analysis with 7 coefficients of LST, 7 coefficients of NDVI, and 5 coefficients of LAI. Correct determinations: 82.4%
annulatus 0.955 69.94 0.00 2.76 25.15 2.15
australis 0.977 0.00 93.39 1.17 0.00 5.43
decoloratus 0.905 2.21 0.18 79.85 9.26 8.50
geigyi 0.986 1.41 0.00 1.41 97.18 0.00
microplus 0.924 2.53 1.86 16.39 1.31 77.91
2. Discriminant analysis with 7 coefficients of LST, and 7 coefficients of NDVI. Correct determinations: 72.9%
annulatus 0.959 46.79 0.00 3.21 48.08 1.92
australis 0.995 0.02 94.45 1.44 0.00 4.08
decoloratus 0.922 4.94 0.09 73.84 8.94 12.19
geigyi 0.989 3.47 0.00 1.39 93.75 1.39
microplus 0.946 5.36 1.33 12.06 0.73 80.52
3. Discriminant analysis with 12 months of remotely sensed LST and NDVI. Correct determinations: 62.3%
annulatus 0.931 32.69 1.28 4.49 57.05 4.49
australis 0.991 0.20 96.83 1.22 0.00 1.75
decoloratus 0.889 4.27 1.91 69.93 10.77 13.12
geigyi 0.979 6.25 0.69 0.00 92.36 0.69
microplus 0.919 4.68 5.93 16.69 2.62 70.08
4. Discriminant analysis with monthly remotely sensed LST and NDVI, after removal of months with high collinearity. Only values for January, March, May and October were included for LST. Data for February, March and July were removed from NDVI. Correct determinations: 56.7%
annulatus 0.912 34.62 1.28 0.64 57.05 6.41
australis 0.947 0.49 90.83 3.20 0.00 5.48
decoloratus 0.761 5.12 12.06 52.89 14.10 15.84
geigyi 0.971 9.72 1.39 0.69 88.19 0.00
microplus 0.826 8.23 15.12 18.87 2.46 55.32
5. Discriminant analysis with 12 months of gridded interpolated temperature and rainfall (Worldclim dataset). Correct determinations: 69.7%
annulatus 0.872 42.31 1.92 3.85 44.23 7.69
australis 0.996 0.00 99.67 0.13 0.00 0.20
decoloratus 0.923 4.23 1.33 78.29 7.96 8.19
geigyi 0.985 5.56 0.69 2.78 85.42 5.56
microplus 0.949 2.66 7.78 14.88 0.81 73.87
6. Discriminant analysis with monthly gridded interpolated temperature and rainfall (Worldclim dataset) after removal of the months with high collinearity. Only data of temperatures of January, April, June and September were included. Data of rainfall of February, August and December were removed. Correct determinations: 65.1%
annulatus 0.889 44.23 4.49 0.64 45.51 5.13
australis 0.982 0.00 97.63 2.35 0.00 0.02
decoloratus 0.851 8.41 3.65 72.15 10.63 5.16
geigyi 0.965 15.97 0.00 0.00 76.39 7.64
microplus 0.879 6.45 16.57 14.88 3.06 59.03
7. Discriminant analysis with “bioclim variables” derived from monthly gridded interpolated temperature and rainfall (Worldclim dataset). Correct determinations: 57.9%
annulatus 0.941 28.21 1.92 8.97 46.15 14.74
australis 0.990 0.00 97.45 0.00 0.00 2.55
decoloratus 0.876 3.91 2.58 74.64 9.34 9.52
geigyi 0.968 1.39 2.08 3.47 83.33 9.72
microplus 0.901 1.49 11.09 19.60 1.98 65.85
8. Discriminant analysis with “bioclim variables” derived from monthly gridded interpolated temperature and rainfall (Worldclim dataset) after removal of variables with high collinearity. Correct determinations: 57.4%
annulatus 0.930 29.49 1.92 7.69 53.21 7.69
australis 0.991 0.00 95.12 0.00 0.09 4.79
decoloratus 0.890 3.51 2.49 73.84 10.85 9.30
geigyi 0.979 1.39 0.69 1.39 86.81 9.72
microplus 0.920 2.30 15.52 19.68 5.85 56.65
  1. For some of these datasets of descriptive covariates, the analysis was repeated with every variable included (e.g., the 12 months of average temperature) and after the highly correlated variables were removed. A discriminant analysis was conducted, and its reliability evaluated by the percent of records correctly predicted and the area under the curve (AUC). The AUC is a general measure of model performance and does not consider individual results of true positives for each species. Therefore, some models may perform better for a particular species while having a general low AUC. The percent of correctly determined records of each species is also included.