Maintenant disponible et gratuit "Interpoler les mesures d'oxygène 3D dans Monterey Bay" <\/SPAN><\/A>#<\/A><\/S>ocean<\/STRONG><\/SPAN> <\/SPAN><\/A>#<\/A><\/S>GIS<\/STRONG><\/SPAN> module d'apprentissage <\/SPAN><\/SPAN>http:\/\/<\/SPAN>p.ctx.ly\/r\/93g1<\/SPAN><\/SPAN> <\/SPAN><\/SPAN><\/A><\/P><\/SPAN><\/SPAN><\/P>Voir aussi ailleurs sur GeoNet - https:\/\/community.esri.com\/community\/gis\/analysis\/geostatistical-analyst\/blog\/2019\/01\/25\/new-in-arcgis-pro-23-3d-interpolation-with-empirical-bayesian-kriging<\/A> <\/P><\/BODY><\/HTML>
This is great! I've been trying to build local EMU's from a different dataset, and this helps a lot in figuring out how to get started. Thanks for posting! I have a few questions. How should I handle data from different seasons/years? I'd like to look for change over time. Should I sort all the data beforehand, and separate it into different tables, and then 3D interpolate each separately? If I later cluster my interpolated data into seasonal or annual or decadal EMU's, what is the best way to compare them meaningfully between different times?
Attention Keith VanGraafeiland ...
Dawn Wright A useful link and a video with Eric
https://community.esri.com/community/gis/analysis/geostatistical-analyst/blog/2019/01/25/new-in-arcgis-pro-23-3d-interpolation-with-empirical-bayesian-kriging
Yes, we were pleased that he debuted this at our Ocean GIS Forum last November and I notified Scripps Institution of Oceanography last month of the Learn Lesson that was forthcoming at the time. They are eager to try it.
Cheers,
Dawn
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