Since the late 1980s, the widely popular and efficient geographic information system (GIS) has facilitated the development of new machine learning, data-driven, and empirical methods that reduce generalization errors. 

In the this course, i have shared a famous and solid bivariate technique (Frequency ratio), to help you start your first prediction map using ArcMap and Excel only.

UPDATES March 2019: Course full data was uploaded with Section 2.

I will explain the spatial correlation between; prediction factors, and the dependent factor. Also, how to find the autocorrelations between; the prediction factors, by considering their prediction importance or contribution. Finally, I will Produce susceptibility map using; Microsoft Excel and ESRI ArcGIS only. Model prediction validation will be measured by most common statistical method of Area under the curve (AUC).