US 12,073,341 B2
Proactive spatiotemporal resource allocation and predictive visual analytics system
David Scott Ebert, West Lafayette, IN (US); Abish Malik, West Lafayette, IN (US); Sherry Towers, Tempe, AZ (US); and Ross Maciejewski, Phoenix, AZ (US)
Assigned to Purdue Research Foundation, West Lafayette, IN (US)
Filed by Purdue Research Foundation, West Lafayette, IN (US)
Filed on Feb. 17, 2020, as Appl. No. 16/792,785.
Application 16/792,785 is a continuation of application No. 14/941,485, filed on Nov. 13, 2015, abandoned.
Claims priority of provisional application 62/079,413, filed on Nov. 13, 2014.
Prior Publication US 2020/0242523 A1, Jul. 30, 2020
Int. Cl. G06N 20/00 (2019.01); G06Q 10/06 (2023.01)
CPC G06Q 10/06 (2013.01) [G06N 20/00 (2019.01)] 29 Claims
OG exemplary drawing
 
1. A method, comprising:
receiving an input, the input comprising a geospatial template digital file representing a desired geospatial resolution and a temporal template digital file representing a desired temporal resolution;
selectively subdividing the geospatial template digital file based on a defined criteria to produce a plurality of digital geospatial subdivisions;
generating a digital time series historical signal for each of the plurality of digital geospatial subdivisions within the geospatial template digital file, the digital time series signal defined by the temporal template digital file and based on historical activity data;
forecasting probability of occurrence of a predetermined event based on the generated digital time series and thus generating a set of forecast results from each of the digital time series associated with selective spatiotemporal variations of each of the plurality of digital geospatial subdivisions; and
providing the set of forecast results as visual output on an electronic display to a user.