[Bug 710648] New: Review Request: clusterPy - Custom analytical geographic regionalization

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Summary: Review Request: clusterPy - Custom analytical geographic regionalization

https://bugzilla.redhat.com/show_bug.cgi?id=710648

           Summary: Review Request: clusterPy - Custom analytical
                    geographic regionalization
           Product: Fedora
           Version: rawhide
          Platform: All
        OS/Version: Linux
            Status: NEW
          Severity: medium
          Priority: medium
         Component: Package Review
        AssignedTo: nobody at fedoraproject.org
        ReportedBy: volker27 at gmx.at
         QAContact: extras-qa at fedoraproject.org
                CC: notting at redhat.com, fedora-package-review at redhat.com
   Estimated Hours: 0.0
    Classification: Fedora
      Story Points: ---


Spec URL: http://www.geofrogger.net/review/clusterPy.spec
SRPM URL: http://www.geofrogger.net/review/clusterPy-0.9.9-1.fc14.src.rpm
Description:
Analytical regionalization (also known as spatially constrained clustering) is
a
scientific way to decide how to group a large number of geographic areas or
points into a smaller number of regions based on similarities in one or more
variables (i.e., income, ethnicity, environmental condition, etc.) that the
researcher believes are important for the topic at hand.

Conventional conceptions of how areas should be grouped into regions may either
not be relevant to the information one is trying to illustrate (i.e., using
political regions to map air pollution) or may actually be designed in ways to
bias aggregated results. 

ClusterPy offers the following algorithms: Arisel, AZP, AZP-Simulated
Annealing,
AZP-Tabu, AZP-R-Tabu, Max-p-regions (Tabu), AMOEBA, SOM and geoSOM.

I contacted upstream for their thoughts on summary and description. Thus that
may change.

I only plan to maintain this package in Fedora.

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