I am new to geospatial data and have a task to identify outliers from polygons. I have been looking at the different tools that ArcGIS Pro has to offer: Optimize Outlier Analysis, Optimize HotSpot Analysis, and Clusters and Outliers Analysis. Nevertheless, some of these tools required an input distance (spatial relationship).
I have a .shp file with about 400 polygons. Each polygon has columns in the attribute tables for 10 different dates and each date has a float value (range: 1-100). Example:
Column1 = 04/23/2021: 22.04 Column1 = 04/23/2021: 21.16 Column1 = 04/23/2021: 15.78 Column2 = 05/23/2021: 11.24 Column2 = 05/23/2021: 31.17 Column2 = 05/23/2021: 85.48
I would like to identify outliers for each date column.
Which tool should I use to find these outliers? I do not need spatial relationship to be considered.
Update: I tried the Multivariate Clustering tool and set the number of clusters to 6. These tool does not require input distance values. Do you think this would be correct to use for the task? From this tool, I can see the Features Per Cluster and identify the cluster with the lower Count (outliers).