New Webinar – Introduction to Ordinary Least Squares Regression in ArcGIS

by | Apr 11, 2017

On Friday, May 26th we’ll be releasing a new recorded webinar entitled Introduction to Ordinary Least Squares Regression in ArcGIS.  The OLS tool in the Spatial Statistics Toolbox of ArcGIS  helps us determine the variables that explain why an observed pattern is present. These explanatory variables can lead to the development of models that can predict the occurrence of these patterns in other places.

There are essentially three primary reasons to use regression analysis. First is to gain an understanding of a phenomenon and effect policy or make decisions about appropriate actions to take. The next is to create predictive models of a phenomenon that can be applied to other areas, and finally, to explore hypotheses.  In this webinar you’ll learn the basic concepts behind the OLS tool in ArcGIS.

This recorded webinar will be released to all current members of our email list on Friday, May 26th.  Use the Signup box at the top of this page to make sure you get access to this webinar.

Learn more about Spatial Statistics in our Introduction to Spatial Statistics using ArcGIS and R class.

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Eric Pimpler
Eric is the founder and owner of GeoSpatial Training Services ( and has over 25 years of experience implementing and teaching GIS solutions using ESRI, Google Earth/Maps, Open Source technology. Currently Eric focuses on ArcGIS scripting with Python, and the development of custom ArcGIS Server web and mobile applications using JavaScript. Eric is the author of Programming ArcGIS with Python Cookbook - 1st and 2nd Edition, Building Web and Mobile ArcGIS Server Applications with JavaScript, Spatial Analytics with ArcGIS, and ArcGIS Blueprints. Eric has a Bachelor’s degree in Geography from Texas A&M University and a Master's of Applied Geography degree with a concentration in GIS from Texas State University.

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