Fwd: Classification of Cluster and outliers

[Julia Koschinsky]

on behalf of Walter Musakwa.

---------- Forwarded message ----------
From: Walter Musakwa <musak...@gmail.com>
Date: 16 January 2012 00:24
Subject: Classification of Cluster and outliers
To: geoda...@asu.edu

I ran the LISA tool on my dataset which results in a significance map,
cluster outlier type map as well as the local moran index. However my
worry is, according to literature if the Local Moran is positive it
will be a cluster of either HH or LL and if the local moran is
negative it is an outlier either HL or LH. I then looked at the local
values and this is what i found for HH the min value of the local
Moran is 0.00050, max 64, for LL min is 0.00007 max 0.00391, for LH
min is -0.01182 max is -0.00002 and HL min is -0.640000 and max
-0.00001. My issue is there seem to be an overalp. So i would want to
know how Geoda determines Clusters and outlires using Local moran. Or
in other words how does the Locan Moran classify HH,LL, HL and LH
values.

--

Walter Musakwa

African Doctoral Academy

PHD Canditate:Geography and Environmental Science:Geographic Information Science

Stellenbosch University

email:1639...@sun.ac.za

Cell:0768819163

--
************************
Julia Koschinsky, Ph.D.
Research Director
Assistant Research Professor
Arizona State University
School of Geographical Sciences and Urban Planning
GeoDa Center for Geospatial Analysis and Computation
julia.ko...@asu.edu

http://geodacenter.asu.edu
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