Only four of New Labour's 183 new MPs in the landslide class of 1997 were non-white, but Labour selections now are more than five times as likely (over 10%) to see black and minority ethnic candidates win.
Therefore, the distinction between "mud" and "earth" should not be based solely on grain size distribution but should instead be derived from the context of each landslide class.
Fig. 8 Percentage of landslide susceptibility classes and percentage of landslides validation on landslide susceptibility map.
Visually, the predicted landslide susceptibility classes are in good correspondence with the actual landslide occurring in the study area.
From this analysis 0.39%, 1.84%, 9.1%, 32.04% and 56.63% of the landslides fall in the very low, low, medium, high and very high landslide susceptibility classes respectively.
To analyze the spatial difference among landslide susceptibility classes an error matrix method was used (Gupta et al., 2008; Kayastha et al. 2012) which is presented in Table 7.
(Where, PixcL(ij) number of pixel with landslide within class i of j parameter, Pixcl(ij) Number of pixel in class i of j parameter, ∑PixL total pixel of j parameter, and ∑Pix total pixel of the area).
In addition, LAPSUS-LS is capable to group the recent shallow landslides in a specific landslide hazard class (critical rainfall values of 0.03 0.05 m day− 1).
Fig. 16 Comparison between the percentage of each susceptibility class and landslide density in each class within the study area.
Table 1 shows the numbers and percentages of shallow landslides and no shallow landslides in three classes.
Table 5 shows the numbers and percentages of shallow landslides and no shallow landslides in four classes for the Dayi area and the USA areas.
