TY  - BOOK
AU  - WAN, Shiuan
TI  - Entropy-based particle swarm optimization with clustering analysis on landslide susceptibility mapping
PY  - 2013///
CY  - Verlag
PB  - Springer
KW  - landslide susceptibility (potential) maps
KW  - data mining
KW  - particle swam optimisation
N2  - Generation of landslide susceptibility maps is important for engineering geologists and geomorphologists. The goal of this study is to generate a reliable susceptibility map based on digital elevation modeling and remote sensing data through clustering technique. This study focused on the landslide problems on a vast area located at Shei Pa National Park, Miao Li, Taiwan. Two stages of analysis were used to extract the dominant attributes and thresholds: (1) calculate the entropy with regard to the measure of influenced variables to the occurrence of landslide and (2) use the clustering analysis K-means with particle swarm optimization (KPSO) to resolve the difficulties in creating landslide susceptibility maps. The knowledge scope with regard to core factors and thresholds are solved. The self-organization map (SOM) is used as a parallel study for comparison. The overall accuracy of the susceptibility map is 86 and 77 % for KPSO and SOM, respectively. Then, the susceptibility maps are drawn and verifications made. The generation of a susceptibility map is useful for decision makers and managers to handle the landslide risk area
UR  - https://doi.org/10.1007/s12665-012-1832-7
ER  -