Also, I believe Jonathan is making his analysis code available on his GitHub page.

]]>Sava, E., Twardy, C., Koester, R., & Sonwalkar, M. (2016). Evaluating Lost Person Behavior Models. Transactions in GIS, 20(1), 38â€“53. http://doi.org/10.1111/tgis.12143

]]>The Conditional Lognormal model clearly outperformed all of these. Note that all the scores in the *Tr.GIS* article are higher than those in the Lognormal blog post. The reason is that the tests in the article are based on *N*=376 cases, but for the Lognormal work, we added 48 more cases, for *N*=424. The new cases were generally harder.