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In terms of a local autocorrelation (nonstationarity) statistics, there really is not one. Join-counts is adequate for hypothesis testing of global clustering in binary process, albeit very scale dependent, but not for multinomial data. I am not even sure what the underlying hypothesis test would be here, especially with ordinal data. One has to ask, how ...


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Use ST_ClusterDBSCAN (follow the provided links for further details on the algorithm and the impact of the function arguments); as a Window function, it operates on the input rows within a defined frame, where it assigns cluster ids as column values: SELECT ARRAY_AGG("ID_1") AS "ID_1's", ARRAY_AGG("ID_2") AS "ID_2'...


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Not the best solution in your related post. Use focal statistics (maximum) for neigbourhood of your choice, e.g. 500*500 cells, output - raster, called FC. Use raster calculator to locate highest points: Con ("DEM">="FC","DEM") Convert output raster to points, e.g.:


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You can use GDAL: it has a function contour polygons (version 2.4 or later) as part of gdal_contour. It is accessible from the QGIS processing toolbox. If you don't find the entry contour polygons there, just use the contour tool and set the parameter -p: it creates polygons instead of lines - you can set this in the Additional command-line parameters [...


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As confirmed by ArcGIS Dev on Forum, as of 4.16 Cluster do not support to getChildGraphics of cluster and also do not support different renderer for cluster.


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