Evaluating the application of K-mean clustering in Earthquake vulnerability mapping of Istanbul, Turkey
Bibliographic Data
| ID | 22027680 |
|---|---|
| Authors | Mahyat Shafapourtehrany (0000-0003-4272-7796, Kandilli Observatory and Earthquake Research Institute, corresponding author), Peyman Yariyan (0000-0001-9969-752X, Islamic Azad University, Tehran), Haluk Özener (0000-0003-2531-3030, Kandilli Observatory and Earthquake Research Institute), Biswajeet Pradhan (0000-0001-9863-2054, University of Technology Sydney), Farzin Shabani (0000-0002-5100-8921, Flinders University) |
| Year | 2022 |
| Volume | 79 |
| Pages | 103154 |
| Publication date | 2022-09-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Disaster Risk Reduction (JOURNAL) |
| Journal identifiers | ISSN: 2212-4209 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.ijdrr.2022.103154 |
| OpenAlex | W4283813984 |
| Language | EN |
| Citations received | 10 |
| References cited | 123 |
Cluster analysis · Computer security · Geography · Logistic regression · Machine learning · Multicollinearity · Regression analysis · Statistics · Support vector machine · Variance inflation factor · Computer Science · Earthquake Detection and Analysis · Mathematics · Remote-Sensing Image Classification · Seismology and Earthquake Studies
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| Unique citing works | 10 |
|---|---|
| Citations per year | 2,5 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 9 |