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).
What you'll learn
create prediction maps using ArcGIS and Excel
explain spatial correlation between prediction factors
measure model prediction validation using AUC
Course objectives
to help students understand the use of GIS for predictive modeling
to provide practical skills in using ArcGIS and Excel for data analysis