Table 3.
Variance importance ranks of geospatial layers calculated from the machine learning method applied separately to outdoor and indoor samples.
| Rank: | Outdoor: | Indoor: |
|---|---|---|
| 1 | Elevation | Evapotranspiration |
| 2 | Lowest income quintile | Elevation |
| 3 | Population | Rainfall |
| 4 | Watershed area | Median gross rent |
| 5 | Population of Pacific Islanders | GINI coefficient |
| 6 | GINI coefficient | Land development indicator |
| 7 | Median gross rent | Watershed area |
| 8 | Rainfall | Population with multiracial ancestry |
| 9 | Rural population | Soil water infiltration rate |
| 10 | Population with multiracial ancestry | Population Pacific Islander |
| 11 | Evapotranspiration | Lowest income quintile |
| 12 | Soil water infiltration rate | Population on public assistance |
| 13 | Land development indicator | Soil pH |
| 14 | Soil organic matter | Relative geologic age |
| 15 | Soil cation-exchange capacity | Relative humidity |
| 16 | Soil shrink-swell capacity | Surface temperature |
| 17 | Urban population | Urban population |
| 18 | Relative geologic age | Soil cation-exchange capacity |
| 19 | Relative humidity | Population |
| 20 | Soil pH | Soil organic matter |