Fig 1.
Clusters from the “synthetic socio-spatial” typology. Study area and survey sites; black bold lines = national tarred roads; black thin lines = main untarred road; dashed grey lines = regional boundaries; the Dakar-Mali railway is strictly parallel to N1 road; Clusters from the "synthetic socio-spatial" typology (blue dots: rural localities with structuring capacities; red dots: marginal localities; green dots: urban-like localities; yellow dots: gold mining villages); Localities with socio-spatial data only: Gouniang, Dialacoto, Dienoundiala, Missira, Senoudebou.
Table 1.
Input categorical variables for MCA per topic.
Table 2.
Description of clusters from the socio-spatial typologies per topic.
Fig 2.
Asymetric biplot of the first two components for the synthetic socio-spatial MCA.
Red dots: modalities of the input variables (from the previous thematic typologies); blue dots: localities (observations); grey circle = clusters from the "synthetic socio-spatial" typology below.
Fig 3.
Individual site estimates of the occurrence probability of R. rattus according to data of human geography in 27 localities in southeastern Senegal (left), and the corresponding observed captures (1) and zero-encounters (0) of 6831 samples at 5169 trapping stations (right).X-axis represents the coordinates of localities on each of the first (A) and second (B) principal components of the synthetic socio-spatial MCA In the right panel, the size of the dots is proportional to the total number of trapping stations and is expressed on a natural logarithmic scale.
Table 3.
Results from the occupancy models.
p is the estimated probability of detection of R. rattus, Ψ is the estimated probability of occupancy of R. rattus. A dot indicates a constant parameter. Axis 1 and Axis 2 referred to coordinates on the two first principal components from the synthetic typology. Trap referred to the two models of traps, and Night to the two consecutive nights of trappings.