BoundarySeer allows you to remove clusters that were found during spatially constrained clustering, either by specifying a particular cluster to remove, or by setting a minimum cluster size. For example, you may wish to remove all singleton clusters if you are only interested in clusters spanning a larger area. Or, you may wish to create a data set that consists only of clusters of a particular type (i.e. removing the others); this may be appropriate, for example, as you refine your thinking during boundary overlap analysis or if you wish to create a customized map.
First, you must have created clusters.
Then, go to the "Data" menu, choose "Remove clusters."
You may remove clusters by number or you may remove all clusters below a threshold size.
To remove clusters by number, use the pull-down list of available clusters. To choose the cluster to remove, you may wish to query the map to find cluster numbers or view the clustering statistics in a table. To view the cluster statistics, go to the "Project" Menu, then choose "Table." The data set that you want to view will be listed as type "Cluster".
You can also remove clusters below a threshold number of members, the default is 2 members, which removes singleton clusters.
Select how you want to record the new clusters. After "Store revised clusters in" you have two choices: to overwrite the old clusters and boundaries by storing the new clusters in the "Existing data set and boundary" or to keep both data sets and create a "New data set" and "New boundaries." You can name the data set and boundaries or keep the default names BoundarySeer chooses.
See also: