In this online course, you can learn the complete process (A-Z) from scratch to production.  How to select parameters and why, download raster and vector data, processing data, images in ArcGIS environment, justification of variables, step by step guide of SPI, CRITIC, WASPAS, and SAW models in excel, produced prediction map applying CRITIC, WASPAS, and SAW methods in Drought Vulnerability zonation using ArcGIS. Moreover, you will also learn validation of the susceptibility map using advanced techniques such as MAE, MSE, RMSE, ROC-AUC.

SPI (Standardized Precipitation Index) is a widely used index to characterize meteorological drought on a range of timescales. On short timescales, the SPI is closely related to soil moisture, while at longer timescales, the SPI can be related to groundwater and reservoir storage. The SPI can be compared across regions with markedly different climates. It quantifies observed precipitation as a standardized departure from a selected probability distribution function that models the raw precipitation data. The raw precipitation data are typically fitted to gamma or a Pearson Type III distribution and then transformed to a normal distribution. The SPI values can be interpreted as the number of standard deviations by which the observed anomaly deviates from the long-term mean. The SPI can be created for differing periods of 1-to-36 months, using monthly input data. For the operational community, the SPI has been recognized as the standard index that should be available worldwide for quantifying and reporting meteorological drought.

CRITIC  (Criteria Importance Through Inter-criteria Correlation) a useful method that identifies the objective weight of MCDM problems based on contrast intensity and the conflicting character of the evaluation criteria proposed by Diakoulaki, Danae, George Mavrotas, and Lefteris Papayannakis (1995).

WASPAS method (weighted aggregated sum product assessment) is one of the MCDM methods. It was developed by Zavadskas et al. The WASPAS method is a unique combination of the Weighted Sum Model (WSM) and Weighted Product Model (WPM) which are two well-known MCDM methods. The WSM method determines the overall score of an alternative as a weighted sum of the criteria values while WPM determines the score of an alternative as a product of the scale rating of each criterion to a power equal to the weight of a given criterion. In addition to these methods, WASPAS tries to reach the highest accuracy of estimation by optimizing weighted aggregated function

SAW (Simple Additive Weighting) method is a well-known method relying on the linear utility function for multi-criteria evaluation (Hwang, Yoon 1981, Rozman et al. 2016, Vico 2017). Churchman and Ackoff (1954) first utilized the SAW method to cope with a portfolio selection problem. The SAW method is probably the best known and widely used method for multiple attribute decision-making (MADM). Because of its simplicity, SAW is the most popular method in MADM problems

After completing this course, you will be efficiently able to process, predict, and validate any data related to hazard, vulnerability, risk, and suitability assessment using the CRITIC, WASPAS, and SAW models.