Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques
This edited volume assesses capabilities of data mining algorithms for spatial modeling of natural hazards in different countries based on a collection of essays written by experts in the field. The book is organized on different hazards including landslides, flood, forest fire, land subsidence, ear...
| Corporate Author: | SpringerLink (Online service) |
|---|---|
| Other Authors: | Pourghasemi, Hamid Reza (Editor, http://id.loc.gov/vocabulary/relators/edt), Rossi, Mauro (Editor, http://id.loc.gov/vocabulary/relators/edt) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
|
| Edition: | 1st ed. 2019. |
| Series: | Advances in Natural and Technological Hazards Research,
48 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Similar Items
-
Seismic Hazard and Risk Assessment Updated Overview with Emphasis on Romania /
Published: (2018) -
Tsunami Propagation in Tidal Rivers
by: Tolkova, Elena, et al.
Published: (2018) -
Earthquake and Disaster Risk: Decade Retrospective of the Wenchuan Earthquake
Published: (2019) -
Disaster Risk Science
by: Shi, Peijun, et al.
Published: (2019) -
Developments in Earthquake Geotechnics
Published: (2018)