https://communities.sas.com/t5/SAS-Procedures/PROC-GLIMMIX/m-p/251716#M56752 <P>If you want a spatial covariance structure, look at the SP() covariance types in GLIMMIX statement RANDOM.&nbsp;</P> Tue, 23 Feb 2016 03:42:39 GMT PGStats 2016-02-23T03:42:39Z https://communities.sas.com/t5/SAS-Procedures/PROC-GLIMMIX/m-p/251673#M56739 <P>Can the nearest neighbor be used with the proc glimmix?</P><P>Anyone knows the code?</P> Mon, 22 Feb 2016 22:45:13 GMT https://communities.sas.com/t5/SAS-Procedures/PROC-GLIMMIX/m-p/251673#M56739 mguti 2016-02-22T22:45:13Z https://communities.sas.com/t5/SAS-Procedures/PROC-GLIMMIX/m-p/251716#M56752 <P>If you want a spatial covariance structure, look at the SP() covariance types in GLIMMIX statement RANDOM.&nbsp;</P> Tue, 23 Feb 2016 03:42:39 GMT https://communities.sas.com/t5/SAS-Procedures/PROC-GLIMMIX/m-p/251716#M56752 PGStats 2016-02-23T03:42:39Z https://communities.sas.com/t5/SAS-Procedures/PROC-GLIMMIX/m-p/251784#M56759 <P>In addition to TYPE=SP, some people use a radial smoother for analyzing spatial data. The option is TYPE=RSMOOTH. The radial smoother supports KNOTMETHOD=KDTREE(NEAREST), which is essentially a nearest neighbor approach. Links are provided in the <A href="http://support.sas.com/documentation/cdl/en/statug/68162/HTML/default/viewer.htm#statug_glimmix_syntax24.htm" target="_self">documentation for the RANDOM statement.</A>&nbsp; For an example, see&nbsp;the section "Spatial Smoothing" in <A href="http://www.lexjansen.com/wuss/2005/data_analysis_and_statistics/das-sas_introducing_the_glimmix_procedure.pdf" target="_self">Schabenberger (2005, p. 15)</A></P> Tue, 23 Feb 2016 15:25:24 GMT https://communities.sas.com/t5/SAS-Procedures/PROC-GLIMMIX/m-p/251784#M56759 Rick_SAS 2016-02-23T15:25:24Z