Computation, prediction, and use of vandalism scores

A computer program product for computing a vandalism score for each of a plurality of physical objects, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to:

• in response to receiving data from a plurality of predefined functional areas in a particular geographical area in which a plurality of physical objects are located, wrangle, by the computer, the data to correlate the data from the functional areas with respective ones of the physical objects, wherein the data are collected from the plurality of predefined functional areas in the particular geographical area in which the plurality of physical objects are located;
• transform, by the computer, the wrangled data corresponding to each of the physical objects into features, each feature corresponding to a respective one of the functional areas;
• for each of the physical objects, process, by the computer, the features according to predefined rules for generating a rank for each of the functional areas;
• compute, by the computer, dynamic weights for at least some of the features to account for data drift by comparing historical data with latest data;
• transform, by the computer, the ranks and the dynamic weights into a vandalism score for each of the physical objects, wherein a clustering analysis is performed on the rank and the dynamic weights to determine a number of clusters of the physical objects having a similar impact from vandalism;
• and
• output, by the computer, at least some of the vandalism scores and/or derivatives thereof.

A system, comprising:

• a hardware processor;
• and
• logic integrated with the processor, executable by the processor, or integrated with and executable by the processor, the logic being configured to:
• in response to receiving data from a plurality of predefined functional areas in a particular geographical area in which a plurality of physical objects are located, wrangle the data to correlate the data from the functional areas with respective ones of the physical objects, wherein the data are collected from the plurality of predefined functional areas in the particular geographical area in which the plurality of physical objects are located;
• transform the wrangled data corresponding to each of the physical objects into features, each feature corresponding to a respective one of the functional areas;
• for each of the physical objects, process the features according to predefined rules for generating a rank for each of the functional areas;
• compute dynamic weights for at least some of the features to account for data drift by comparing historical data with latest data;
• transform the ranks and the dynamic weights into a vandalism score for each of the physical objects, wherein a clustering analysis is performed on the rank and the dynamic weights to determine a number of clusters of the physical objects having a similar impact from vandalism;
• and
• output at least some of the vandalism scores and/or derivatives thereof.