MARC details
000 -LEADER |
fixed length control field |
01959nam a22002777a 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
ZW-GwMSU |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20230424114652.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
230424b |||||||| |||| 00| 0 eng d |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
MSU |
Transcribing agency |
MSU |
Description conventions |
rda |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
PARK, Soyoung |
245 ## - TITLE STATEMENT |
Title |
Landslide susceptibility mapping using frequency ratio, analytic hierarchy process, logistic regression, and artificial neural network methods at the Inje area, Korea |
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Place of production, publication, distribution, manufacture |
Verlag |
Name of producer, publisher, distributor, manufacturer |
Springer |
Date of production, publication, distribution, manufacture, or copyright notice |
2013 |
336 ## - CONTENT TYPE |
Source |
rdacontent |
Content type term |
text |
Content type code |
txt |
337 ## - MEDIA TYPE |
Source |
rdamedia |
Media type term |
unmediated |
Media type code |
n |
338 ## - CARRIER TYPE |
Source |
rdacarrier |
Carrier type term |
volume |
Carrier type code |
nc |
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE |
Title |
Environmental earth sciences |
Volume/sequential designation |
Volume , number , |
520 ## - SUMMARY, ETC. |
Summary, etc. |
Every year, the Republic of Korea experiences numerous landslides, resulting in property damage and casualties. This study compared the abilities of frequency ratio (FR), analytic hierarchy process (AHP), logistic regression (LR), and artificial neural network (ANN) models to produce landslide susceptibility index (LSI) maps for use in predicting possible landslide occurrence and limiting damage. The areas under the relative operating characteristic (ROC) curves for the FR, AHP, LR, and ANN LSI maps were 0.794, 0.789, 0.794, and 0.806, respectively. Thus, the LSI maps developed by all the models had similar accuracy. A cross-tabulation analysis of landslide occurrence against non-occurrence areas showed generally similar overall accuracies of 65.27, 64.35, 65.51, and 68.47 % for the FR, AHP, LR, and ANN models, respectively. A correlation analysis between the models demonstrated that the LR and ANN models had the highest correlation (0.829), whereas the FR and AHP models had the lowest correlation (0.619). |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
frequency ratio (FR) |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Analytic hierarchy process (AHP) |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
logistic regression (LR) |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
CHOI, Chuluong |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
KIM, Byungwoo |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
KIM, Jinsoo |
856 ## - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
https://doi.org/10.1007/s12665-012-1842-5 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Library of Congress Classification |
Koha item type |
Journal Article |