Name
Title | ||
|---|---|---|
Comparison And Integration Of Heuristic And Statistical Models Of Landslide Susceptibility Mapping |
Abstract | ||
|---|---|---|
Heuristic and statistical models are both important models of landslide susceptibility mapping. Experts' Scoring Model (ESM) and Generalized Linear Model (GLM), typical heuristic and statistical models respectively, are adopted to carry out a case study of Shenzhen where landslides are increasingly serious. The outputs of the two models obviously differ in terms of receiver operating characteristic (ROC), susceptibility distribution, information entropy, and prediction efficiency. Two integration methods, one to change the ranks of the factors and the other to change the weights of the factors, are evaluated and the outputs of the integration models appear to be more comprehensive and reasonable than ESM and GLM. This paper will provide a guide to future studies on landslide susceptibility mapping. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/GEOINFORMATICS.2010.5567993 | 2010 18TH INTERNATIONAL CONFERENCE ON GEOINFORMATICS |
Keywords | Field | DocType |
integration, landslide susceptibility mapping, heuristic model, statistical model, GLM, ESM | Data mining,Heuristic,Receiver operating characteristic,Landslide susceptibility,Computer science,Generalized linear model,Landslide,Statistical model,Artificial intelligence,Entropy (information theory),Machine learning,Statistical analysis | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zixu Liang | 1 | 0 | 0.34 |
| Yuan Tian | 2 | 3 | 5.43 |
| Lun Wu | 3 | 26 | 6.94 |
| Guiyun Jia | 4 | 0 | 0.68 |