Application of the Multitype Strauss Point Model for Characterizing the Spatial Distribution of Landslides
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-06-19
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Landslides are common but complex natural hazards.
They occur on the Earth’s surface following a mass movement process.
This study applies the multitype Strauss point process model to analyze the spatial distributions of small and large landslides along with geoenvironmental covariates.
It addresses landslides as a set of irregularly distributed point-type locations within a spatial region.
Their intensity and spatial interactions are analyzed by means of the distance correlation functions, model fitting, and simulation.
We use as a dataset the landslide occurrences for 28 years from a landslide prone road corridor in the Indian Himalayas.
The landslides are investigated for their spatial character, that is, whether they show inhibition or occur as a regular or a clustered point pattern, and for their interaction with landslides in the neighbourhood.
Results show that the covariates lithology, land cover, road buffer, drainage density, and terrain units significantly improved model fitting.
A comparison of the output made with logistic regression model output showed a superior prediction performance for the multitype Strauss model.
We compared results of this model with the multitype/hard core Strauss point process model that further improved the modeling.
Results from the study can be used to generate landslide susceptibility scenarios.
The paper concludes that a multitype Strauss point process model enriches the set of statistical tools that can comprehensively analyze landslide data.
American Psychological Association (APA)
Das, Iswar& Stein, Alfred. 2016. Application of the Multitype Strauss Point Model for Characterizing the Spatial Distribution of Landslides. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1111763
Modern Language Association (MLA)
Das, Iswar& Stein, Alfred. Application of the Multitype Strauss Point Model for Characterizing the Spatial Distribution of Landslides. Mathematical Problems in Engineering No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1111763
American Medical Association (AMA)
Das, Iswar& Stein, Alfred. Application of the Multitype Strauss Point Model for Characterizing the Spatial Distribution of Landslides. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1111763
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1111763