Towards gvSIG 2.4: Rossmo Algorithm for serial killer detection

We show you a very special improvement, because of its theme (Criminology), which will be available at the next gvSIG Desktop version, but which you can test in gvSIG 2.3.1 already (from the Add-ons Manager, plugins by URL). This is the implementation of the Rossmo mathematical model in gvSIG that has been made by Jazmín Palomares, from GITS team of the National Autonomous University of Mexico (UNAM).

Within environmental criminology, Kim Rossmo’s mathematical model seeks to measure -by locating the crimes of a criminal- the probability that each point on a map is the usual place of a serial killer. The model has been successful for the largest number of cases in which it has been tested. However, there has not been enough case evaluation for this model, in part because of the high cost of the software applications that implement it … something that is not a problem from now.

In addition to the plugin and the help about it, if you want to know more about this algorithm and its implementation in gvSIG Desktop, as well as its application to the case of one of the most deadly killers in history, you can read a complete article in the Mapping magazine (in Spanish).

We would like to thank Jazmín and the rest of the GITS team for sharing the results of their work.

Note: This algorithm is not installed by default, it must be installed through the Add-ons Manager.

Video (in Spanish) with a demo of the algorithm:

This entry was posted in english, gvSIG Desktop, technical collaborations, testing and tagged , , , . Bookmark the permalink.

2 Responses to Towards gvSIG 2.4: Rossmo Algorithm for serial killer detection

  1. Dina says:

    Interesting algorithm! Thinking about extending its usability!

  2. Pingback: Towards gvSIG 2.4: Rossmo Algorithm for serial killer detection – GeoNe.ws

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