1) In mountainous areas, due to the complex topographic and geological background conditions, landslides are very easy to occur triggered by external factors such as rainfall, snow melting, earthquake and human engineering activities, resulting in the loss of life and property and the destruction of the natural environment. In order to meet the safety of project site construction, the rationality of land use planning and the urgent needs of disaster mitigation, it is necessary to carry out regional landslide sensitivity evaluation. When many different evaluation results are obtained by using a variety of different methods, how to effectively combine these results to obtain the optimal prediction is a technical problem that is still not difficult to solve at present. It is still very lack in determining the optimal strategy and operation execution of the optimal method for landslide sensitivity evaluation in a certain area. 2) Using the traditional classical multivariate classification technology, through the evaluation of model results and error quantification, the optimal evaluation model is combined to quickly realize the high-quality evaluation of regional landslide sensitivity. The source code is written based on the R language software platform. The user needs to prepare a local folder separately to read and store the software operation results. The user needs to remember the folder storage path and make corresponding settings in the software source code. 3) The source code designs two different modes to display the operation results of the model. The analysis results are output in the standard format of text and graphic format and the geospatial mode that needs spatial data and is displayed in the standard geographic format. 4) it is suitable for all people interested in landslide risk assessment. The software can be used efficiently by experienced researchers in Colleges and universities, and can also be used by government personnel and public welfare organizations in the field of land and environmental planning and management to obtain landslide sensitivity classification results conveniently, quickly, correctly and reliably. It can serve regional land use planning, disaster risk assessment and management, disaster emergency response under extreme induced events (earthquake or rainfall, etc.), and has great practical guiding significance for the selection of landslide monitoring equipment and the reasonable and effective layout and operation of early warning network. It can be popularized and applied in areas with serious landslide development

File naming and required software

File name: the data is the source code and the name is "regional landslide sensitivity analysis system V1.0 based on optimal combination strategy"
Data reading method: the source code is written based on the R language software platform, and its program operation and result export also need to depend on the software platform. We recommend using the rstudio ide（ https://rstudio.com/ ）We need to use the "install.0" language to run the system. It is a powerful script for the "r.0" system development environment. It also allows us to use the "install.0" language to run the system. It allows us to use the "install.0" language to analyze the sensitivity of the system package（“vcd”、“verification”、 “raster”、“rasterVis”、“RColorBrelorwer”）。

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Cite as:

Yang, Z. (2022). Regional landslide sensitivity analysis system source code based on optimal combination strategy. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Terre.tpdc.272182. CSTR: 18406.11.Terre.tpdc.272182. (Download the reference： RIS | Bibtex )

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Support Program

Catastrophic mechanisms and risk control of disastrous landslides in the Tibetan Plateau (No:2018YFC1505000)

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