How to produce prediction maps using multivariate Logistic Regression method in ArcGIS and R enviroment

Omar F. Althuwaynee

PhD. GIS and Geomatics Engineering.

"Prediction mapping using Logistic Regression in ArcGIS and R environment"

Course video tutorials

Part 1- Prediction mapping:introduction to Logistic regression in GIS environment

Part 2- Prediction mapping:Logistic regression in GIS: Prepare binary training data by ArcGIS

Part 3- Prediction mapping:Export data from ArcGIS and set R working environment and packages

Part 4- Prediction mapping:Import and plotting GIS data in R environment

Part 5- Prediction mapping:Prepare, resample and save Raster data format in R environment. 

Part 6- Prediction mapping:Run multivariate Logistic regression and export reports using GIS data in R environment

Part 7- Prediction mapping:Find AUC (area under curve) and plot ROC plot using R for prediction map accuracy assessment.

Part 8- Prediction mapping:Plot Logistic regression (logit S curve shape) using GIS data in R.

Part 9- Prediction mapping:Produce final Logistic regression prediction map in R and ArcGIS.

Course preparations

You have to go through  the following videos regarding data preparation, software's, and more info about R:

1.Prediction (susceptibility mapping) In GIS (Part1)Using Modified Frequency Ratio2.Using R as GIS tools: here is my own learning experience (Week 1 -Part 1)3.Using R as GIS tools: here is my own learning experience (Week 1 -Part 2) 

Course objectives

Evaluate and compare the results of applying the multivariate logistic regression method, to Produce susceptibility map, using GIS and R environment.

End of these sessions, you will be able to

1.Create dichotomous (0,1) training and testing data2.Effectively set your project environment , and install packages according to R.3.Prepare spatial data in R environment .4.Learn basic operations with spatial data in R.
5.Develop mapping cartographical skills in R, like,Resampling, clipping of Raster Data.6.Run Statistical analysis, using binary Logistic regression.7.Run statistical tests and produce output reports.8.Run accuracy and validation tests using AUC of ROC.9.Producing and export resultant  maps.

References

##http://www.cookbook-r.com/Statistical_analysis/Logistic_regression/ 

##http://neondataskills.org/R/Raster-Data-In-R/

##http://r-sig-geo.2731867.n2.nabble.com/How-I-make-2-rasters-with-equal-extents-td7584918.html

##https://geoscripting-wur.github.io/IntroToRaster/

##https://www.analyticsvidhya.com/blog/2015/11/beginners-guide-on-logistic-regression-in-r/

##https://www.r-bloggers.com/how-to-perform-a-logistic-regression-in-r/