topic Re: EBK Regression Prediction - overlap factor in ArcGIS GeoStatistical Analyst Questions

EBK Regression Prediction - overlap factor

AngusHooper — Fri, 27 Oct 2017 02:21:30 GMT

Are there any resources available which provide further detail on overlap factor?

A factor representing the degree of overlap between local models (also called subsets). Each input point can fall into several subsets, and the overlap factor specifies the average number of subsets that each point will fall into. A high value of the overlap factor makes the output surface smoother, but it also increases processing time. Values must be between 1 and 5. If Subset polygon features are supplied, the value of this parameter will be ignored.

My assumption is that if the value is 1, all input points can only exist in one local model.

If the value is 2, all input points can exist in one or two local models.

Any information on the models justification for allowing an input point to be used in 1 or 2 or more local models would be appreciated.

Cheers.

Re: EBK Regression Prediction - overlap factor

DanPatterson_Retired — Fri, 27 Oct 2017 02:36:12 GMT

Angus... I would look in-house for guidance

http://www.esri.com/news/arcuser/1012/empirical-byesian-kriging.html

https://community.esri.com/docs/DOC-10351-geostatistics-in-practice-learning-kriging-through-examplespdf

Konstantin Krivoruchko and Linda Beale shouldn't be hard to track down.

Re: EBK Regression Prediction - overlap factor

AngusHooper — Fri, 27 Oct 2017 04:49:31 GMT

Thank you Dan, I have reached out.

I'll post an answer/summary to this thread as soon as I can.