Omar F. Althuwaynee

Watch the trailer Here : To watch the full course, use the discount link: https://www.udemy.com/how-to-use-ann-for-prediction-mapping-using-gis-data/?couponCode=ANNFORGIS - Welcome to my Step-By-Step video tutorial, using Artificial Neural Network ANN with GIS data for Prediction of Hazards, minerals sources, viruses and diseases susceptible distribution regions, Urban planning and others spatial targets. Instructor: Dr. Omar Althuwaynee  - The first and only Step-By-Step video tutorial  - Using R programming and QGIS only.  - Codes, data and tools are provided.  - Full support by the instructor.

GIS and Remote Seminar presented by Prof.Vodacek and Dr.Omar Althuwaynee at 23rd Dec. 2015, Izmir Turkey. To watch the presentation video, please click here To download the slides, please click here Prof. Anthony Vodacek Digital Imaging and Remote Sensing Laboratory Chester F. Carlson Center for Imaging Science Rochester Institute of Technology vodacek@cis.rit.edu Happy learning !           Omar F. AlThuwaynee keywords: Rochester institute of technology, remote sensing, environment, GIS, modeling, research, applications, data, uav, geomatics, background, image processing, satellite , aerial, tools, technology , geography, system

How to fill missing data using advanced imputation techniques in R? To watch the tutorial videos Video part 1: https://youtu.be/T3kFrdhXap0 Video part 2: https://youtu.be/XmhcKjNVtc0 Happy learning! Omar F. Althuwaynee

To watch the video, please click  here To download the exercise data, please click  here For any inquiries, please leave a comment. Best regards Omar F. Althuwaynee

How to easily produce testing binary data for the prediction mapping validation? To watch the video, please click here For any inquiries, please leave a comment. Best regards Omar F. Althuwaynee

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- ...

Omar F. Althuwaynee PhD. GIS and Geomatics Engineering. How to prepare, resample and save Raster data format in R environment "Prediction mapping using Logistic Regression in ArcGIS and R environment" Course video tutorials Prediction mapping:Prepare, resample and save Raster data format in R environment

Omar F. Althuwaynee PhD. GIS and Geomatics Engineering. "Prediction mapping using Logistic Regression in ArcGIS and R environment" How to export data from ArcGIS and set R working environment and packages Course video tutorials Prediction mapping:Export data from ArcGIS and set R working environment and packages

Omar F. Althuwaynee PhD. GIS and Geomatics Engineering. How to prepare binary training data by ArcGIS for Logistic regression analysis "Prediction mapping using Logistic Regression in ArcGIS and R environment" Course video tutorials Prediction mapping:Logistic regression in GIS: Prepare binary training data by ArcGIS

Omar F. Althuwaynee PhD. GIS and Geomatics Engineering. "Prediction mapping using Logistic Regression in ArcGIS and R environment" How to plot Logistic regression (logit S curve shape) using GIS data in R Course video tutorials Plot Logistic regression (logit S curve shape) using GIS data in R

Omar F. Althuwaynee PhD. GIS and Geomatics Engineering. "Prediction mapping using Logistic Regression in ArcGIS and R environment" Course video tutorials Produce Logistic regression prediction map in R and ArcGIS.

Omar F. Althuwaynee PhD. GIS and Geomatics Engineering. "Prediction mapping using Logistic Regression in ArcGIS and R environment" How to import and plot GIS data in R environment Course video tutorials Prediction mapping:Import and plotting GIS data in R environment

Omar F. Althuwaynee PhD. GIS and Geomatics Engineering. "Prediction mapping using Logistic Regression in ArcGIS and R environment" How to export multivariate Logistic regression reports using GIS data in R environment Prediction mapping: Run multivariate Logistic regression and export reports using GIS data in R environment

Omar F. Althuwaynee PhD. GIS and Geomatics Engineering. "Prediction mapping using Logistic Regression in ArcGIS and R environment" Find AUC (area under curve) and plot ROC plot using R for prediction map accuracy assessment.

R is a free software environment for statistical computing and graphics, and so much more. There are too many resources about how to use R lang. from basic to master level, So..! what will we offer in this series? “as a geomatics engineer, how to use R, in geospatial environments, with very basic or no background about programming or statistics “ I n this session, I will talk about; 1.Introduction to effective way in learning R. 2.Do and Don’t do in the learning journey. 3.Effective R environment setup for a new project. At the end of these sessions, you will be able to 1. Understand the effective method to learn any programming language. 2. Effectively setting your project environment according to R. 3. Have a clear plan, about how to develop new programming skills, using the powerful R language. Why learn R 1. R is a fast growing open source contestant to commercial software packages like SAS, STATA and SPSS to geospatial solu...

How to produce prediction maps of Natural hazards in GIS (by Videos) Landslides bury Malaysian orphanage, killing at least 16 , May 2011 Introduction Natural hazards assessment is generally performed by summing up two main independent components: the spatial and temporal probability of the occurrence of the triggering conditions, like in landslides  ( Guzzetti et al., 2005 ) .  Many studies have been conducted to address the relationship between these two components in many areas. Literature reviews address the challenges faced by scientists, planners, and land developers in the application and development of these probabilities. These reviews also highlight the uncertainties involved in data acquisition and preparation as well as in model selection and calibration techniques. Although few studies investigated the susceptibility analysis of prone areas using statistical and data mining approaches with promising prediction accuracy. But, there was a mass...