Autologistic modelling of susceptibility to landsliding in the Central Apennines, Italy

被引:83
作者
Atkinson, P. M. [1 ]
Massari, R. [1 ]
机构
[1] Univ Southampton, Sch Geog, Southampton SO17 1BJ, Hants, England
关键词
Landslide susceptibility; Logistic regression; Autologistic regression; Spatial scale; LOGISTIC-REGRESSION; FREQUENCY RATIO; PREDICTION; AREA;
D O I
10.1016/j.geomorph.2011.02.001
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
In previous research, a logistic regression of landslide occurrence on several explanatory variables was fitted and used to map landslide susceptibility for a small area in the central Apennines, Italy. Here, the spatial dependence or spatial correlation in the residuals from the fitted regression model was accounted for by inserting an autocovariate into the model. The autocovariate was estimated by applying a Gibbs sampler to the susceptibilities for neighbouring pixels. As in any landslide susceptibility analysis, accuracy was difficult to assess because of the requirement for data on future landslides. However, by comparing the ordinary logistic model to the autologistic model obtained on the same set of data, it was possible to assess the influence of the autocovariate. The autocovariate rendered the model simpler because several variables lost their significance and were, therefore, omitted from the model. Further, areas of high landslide susceptibility estimated from the autologistic model were geographically clustered, as one would expect, and this may be advantageous in terms of (i) interpreting the model and (ii) displaying the results to non-experts. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:55 / 64
页数:10
相关论文
共 43 条
[1]  
Aitkin M., 1989, STAT MODELLING GLIM
[2]   GIS-based landslide susceptibility for Arsin-Yomra (Trabzon, North Turkey) region [J].
Akgun, Aykut ;
Bulut, Fikri .
ENVIRONMENTAL GEOLOGY, 2007, 51 (08) :1377-1387
[3]  
Atkinson P, 1998, EARTH SURF PROC LAND, V23, P1185, DOI 10.1002/(SICI)1096-9837(199812)23:13<1185::AID-ESP928>3.0.CO
[4]  
2-W
[5]   Generalised linear modelling of susceptibility to landsliding in the central Apennines, Italy [J].
Atkinson, PM ;
Massari, R .
COMPUTERS & GEOSCIENCES, 1998, 24 (04) :373-385
[6]   Spatial scale problems and geostatistical solutions: A review [J].
Atkinson, PM ;
Tate, NJ .
PROFESSIONAL GEOGRAPHER, 2000, 52 (04) :607-623
[7]   An autologistic model for the spatial distribution of wildlife [J].
Augustin, NH ;
Mugglestone, MA ;
Buckland, ST .
JOURNAL OF APPLIED ECOLOGY, 1996, 33 (02) :339-347
[8]   The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan [J].
Ayalew, L ;
Yamagishi, H .
GEOMORPHOLOGY, 2005, 65 (1-2) :15-31
[9]  
Baker R.J., 1978, The GLIM System Release 3
[10]   Spatial prediction models for landslide hazards: review, comparison and evaluation [J].
Brenning, A .
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2005, 5 (06) :853-862