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Application for managing land searches for missing persons.
Experimental application for assisting in the management of land searches for missing persons. Incorporates OpenJump for GIS rendering of segments, establishing intitial POA values for segments through consensus or mixed consensus and statistical distances, POS and POA recalculation based on PODs from applied resources, and task assignments suggested by missing person behavior profiles.
This is a map project based on semantic web technologies. It allows users to submit data, e.g., locations, services and events, to be rendered on the map. Using semantic annotations to the data, queries can be preformed in a smart way.
The R package to be built aims at implementing what I did in a few scripts for the preparation of the papers I published in CaGEO and TGIS (see below). Basically this is related to the computation of the distribution of k co-occurrences of spatial events (generalising the contiguity distributions - 2 co-occurrences at distance 0) to derive spatial clustering statistics (mainly using the Shannon entropy, then called the k-spatial entropy) and methods linked to this: SOOk, SelSOOk (see caGEO paper) and scankOO (see TGIS). Another method (CAkOO) performing a k-Correspondence Analysis (i.e. on a multiway table with k entries) on the contingencies of co-occurrenceshas been already "published in my JSS paper about another R package: PTAk.
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