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My first foray into projects that involved the integration of database programming for attribute management of a project intended for statistical analysis came during graduate school.  I worked as a GIS Technician on the West Nile Encephalitis Monitoring Program, which...

Included below is a brief description of several of the GIS projects I've worked on over the years.

These four examples are pulled from my blog & are described in detail in those posts.  I'm including them here as examples of how I've used python to analyze & visualize output from my analysis of the Men's NCAA Tournament.

As I described previously, I believe that the strength of 2011 Butler & 2014 Kentucky, & the tournament results we all now admire, is definitively tied to the proportions of Evolutionary Game Theory species' within the community of those specific years.  Furthermor...

Of the 15 tournaments for which I have data, 9 of the champions or runner-ups fall on a single index/rank combination - Index 44, Rank 3.  If you look at Figure 1, from right to left, those are the years running from 2018 to 2010.  The lone exception is 2017, when Kans...

Consider the tournament a box, with limited space for all of the teams, or in this metaphor childrens letter blocks.   When too many of a given archetype are included, at least one of them is squeezed out for lack of room (overpopulation).  I'm not going to show yo...

The figures included below are binary species plots, showing each of the 4 EGT species in an x, y coordinate plane relative to one another.  They reflect the traditional method for evaluating Lotka-Volterra competitive interactions, which means that they only consider...

The good news is that, in conjunction with changing the way in which each query is weighted, I also simplified the definitions for each EGT species.  While I won't publish the specific equation here, I will generally define what makes each species what it is in the...

Sensitivity & Specificity are vitally important aspects of any statistical endeavor because they relate to the two different types of statistical error, Type I & Type II.  Sensitivity is defined as the probability that a test result will be positive when the disease is...

by Jess Behrens

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If we consider, again, the homophily graph first displayed in Chapter 20, reproduced here as Figure 1, it is clear that links & triads in the Loss Network are closer to random (1:1) than the Win Network.  I w...

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