US 9,811,929 B2 | ||
Data visualization methods | ||
Andrew John Cardno, San Diego, CA (US); Peter Stewart Ingham, Avalon (NZ); Bart Andrew Lewin, Woodland Hills, CA (US); and Ashok Kumar Singh, Henderson, NV (US) | ||
Assigned to New BIS Safe Luxco S.à r.l, Luxembourg (LU) | ||
Filed by New Bis Safe Luxco S.à r.l., Luxembourg (LU) | ||
Filed on Sep. 27, 2016, as Appl. No. 15/277,987. | ||
Application 15/277,987 is a continuation of application No. 14/200,903, filed on Mar. 7, 2014, granted, now 9,454,833, issued on Sep. 27, 2016. | ||
Application 14/200,903 is a continuation of application No. 12/866,842, granted, now 8,669,994, issued on Mar. 11, 2014, previously published as PCT/NZ2009/000246, filed on Nov. 13, 2009. | ||
Claims priority of provisional application 61/115,037, filed on Nov. 15, 2008. | ||
Prior Publication US 2017/0018103 A1, Jan. 19, 2017 | ||
This patent is subject to a terminal disclaimer. | ||
Int. Cl. G06T 11/20 (2006.01); G06T 11/00 (2006.01); G07F 17/32 (2006.01); G07F 19/00 (2006.01) |
CPC G06T 11/206 (2013.01) [G06T 11/001 (2013.01); G07F 17/32 (2013.01); G07F 17/3232 (2013.01); G07F 17/3255 (2013.01); G07F 19/20 (2013.01)] | 17 Claims |
1. A method for creating a graphical representation of data, comprising:
at an electronic device having one or more processors and memory:
identifying a finite set of data points in a data set;
for each of the identified data points:
calculating a respective conical distribution centered on the respective data point and based on a respective data value,
wherein the respective conical distribution specifies a respective distribution value corresponding to each location in a
respective region centered on the respective data point;
determining that a first data value of a first data point is less than a distribution value for a second data point, wherein
the distribution value has a location that corresponds to the first data point;
based on the determination, calculating an inverse conical distribution in a region around the first data point; and
combining the conical distributions and inverse conical distributions to display a heatmap data visualization that includes
each of the data points and displays a respective color for each location based on combining the distribution values for the
respective location.
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