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Cluster and Outlier for temperature + depth
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on Apr 5, 2013
on Apr 5, 2013 by jevans02
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I need to determine which temperature measurements are outliers at their depth. Anselin Local Moran's I accounts for 2D autocorrelation, but how do I account for both variables?
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Apr 5, 2013 1:48 PM
has a bivariate LISA available.
Be sure that your interpretation of a bivatiate LISA is correct. The bivariate LISA is the crossproduct of the standardized values of one variable at location
(temperature) with those of the average neighboring values of the second variable (depth). You are testing whether localized correlations between values at location
and those of its neighbors are significantly different from what you would observe under spatial randomness. This would mean that a lo-hi outlier indicates that standardized temperature are significantly correlated with standardized depth.
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