Name
Abstract | ||
|---|---|---|
Earthquake, flood, and drought data from different sources are combined in a single data set using the same data structure, projection, and scale. The intensity and frequency of each hazard is classified into severe, heavy, modest, and light, producing a dassification with 64 combined states for the three kinds of hazard. These classes are then ranked according to severity. The three hazard coverages arc overlaid and the polygons that are produced are coded by the classification system. A map is produced that shows the distribution of these 64 classes in regions and their areas measured from the spatial topological data file in the GIs. Spatial analysis reveals the spatial association among the three hazards and between the three hazards and human factors. There is a brief discussion of the implications of the regionalized map for hazard monitoring. |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1111/j.1467-9671.1997.tb00003.x | T. GIS |
Keywords | DocType | Volume |
null | Journal | 2 |
Issue | Citations | PageRank |
1 | 4 | 1.65 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jin-Feng Wang | 1 | 186 | 28.86 |
| Stephen Wise | 2 | 85 | 31.17 |
| Robert Haining | 3 | 24 | 3.65 |