GIS automated multicriteria analysis (GAMA) method for susceptibility modelling
Fran Domazetović1, Ante Šiljeg1, Nina Lončar1
1Department of Geography, Center for Karst and Coastal Researches, Geospatial Analysis Laboratory, University of Zadar, Trg kneza Višeslava 9, 23000, Zadar, Croatia.
Methodsx
|January 8, 2020
Summary
The GIS automated multicriteria analysis (GAMA) method simplifies complex GIS decision analysis for susceptibility modeling. This automated approach streamlines criteria standardization, weighting, and aggregation, making it more accessible and efficient.
Area of Science:
- Geographic Information Systems (GIS)
- Spatial Analysis
- Environmental Modeling
Background:
- Traditional GIS-MCDA susceptibility modeling is time-consuming and expertise-dependent.
- Existing methods require significant user knowledge and manual effort.
- There is a need for a more streamlined and practical approach to GIS-MCDA.
Purpose of the Study:
- To introduce and present the GIS automated multicriteria analysis (GAMA) method.
- To automate and simplify the key steps of GIS-MCDA susceptibility modeling.
- To provide a practical and user-friendly tool for spatial susceptibility analysis.
Main Methods:
- Development of the GAMA method within ArcGIS 10.4 ModelBuilder.
- Implementation of a three-step automated process: criteria standardization, grouping and weight assignment, and model aggregation.
- Application of GAMA for gully erosion susceptibility modeling on Pag island, Croatia.
Main Results:
- The GAMA method successfully automates and simplifies GIS-MCDA susceptibility modeling.
- The toolset is designed for easy sharing and integration into existing ArcGIS workflows.
- Successful application demonstrated for gully erosion susceptibility modeling.
Conclusions:
- The GAMA method significantly simplifies the GIS-MCDA susceptibility modeling process.
- Automation of criteria standardization, grouping, weighting, and aggregation enhances efficiency.
- The GAMA method offers broad applicability across various GIS-MCDA susceptibility modeling scenarios.
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