Geocomputation Methods for Dyadic Relationships

Findings: People who participated in a mentoring program in Santa Fe formed strong relationships regardless of the wide-ranging barriers (from distance to lack of social ties) between the pair of participants.

Methods: Gravity models show results of a two-tailed Kolmogorov-Smirnoff test.

Good for: If you are looking to start a mentoring program or participate in one.

Exploring Institution-Driven Mobility

Findings: Certain colleges like West Virginia and Providence have much less ‘pull power’ to attract far-away athletes than schools like Stanford or Kenyon College.

Methods: Data analysis from over 1000 U.S. university athletics webpages from 78 universities, 20 different types of sports, to produce a 90,000+ record dataset of U.S. and international student athletes and their hometowns.

Good for: If you hope to improve a collegiate athletic team by diagnosing and expanding its geographic reach. If you are interested in selling more collegiate apparel by targeting feeder areas.