Location info-graphics visualizations

• US 9,251,610 B2
• Filed: 05/29/2013
• Issued: 02/02/2016
• Est. Priority Date: 05/29/2013
• Status: Expired due to Fees

• Current Assignee: GlobalFoundries, Inc.
• Original Assignee: GlobalFoundries, Inc.
• Inventors: Bak, Peter, Packer, Eli, Saadoun, Gilad
• Primary Examiner(s): Yang, Ryan R
• Application Number:
  US13/904,033
• Publication Number:
  US 20140354648A1
• Time in Patent Office: 979 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06F 16/00 Information retrieval; Database structures therefor; File system structures therefor
• CPC Class Codes: G06F 16/26 Visual data mining; Browsing structured data
• CPC Class Codes: G06F 16/283 Multi-dimensional databases or data warehouses, e.g. MOLAP or ROLAP
• CPC Class Codes: G06T 11/206 Drawing of charts or graphs

Abstract

A computerized visualization method for illustrating multi-dimensional data, comprising: receiving a plurality of location data points, each location data point having a plurality of measured features; choosing at least one location dimension from received said plurality of dimensions; grouping said plurality of location data points into a plurality of location groups according to chosen said at least one location dimension; plotting, by a processor, said plurality of location groups as a plurality of flower charts, each said plurality of flower charts, having a plurality of pie sectors, illustrates remaining said plurality of measured features subsequent to said choosing at least one location dimension; and positioning each said plurality of flower charts, in a visual representation, according to chosen said plurality of location dimensions.

Claims

1. A computerized visualization method for illustrating multi-dimensional data, comprising:

receiving a plurality of location data points, each location data point having a plurality of measured features;

choosing at least one location dimension from received said plurality of measured features;

grouping said plurality of location data points into a plurality of location groups according to chosen said at least one location dimension;

plotting, by a processor, said plurality of location groups as a plurality of flower charts, each said plurality of flower charts, having a plurality of pie sectors, illustrates remaining said plurality of measured features subsequent to said choosing at least one location dimension;

positioning each said plurality of flower charts, in a visual representation, according to chosen said plurality of location dimensions;

wherein each said plurality of pie sectors has at least one segment and any two pixels of same at least one segment have an identical color value; and

wherein a plurality of segments of said plurality of pie sectors is organized according to opacity having a series of graduated tones ranging from black to white.

2. The method of claim 1, wherein a plurality of colors of a plurality of segments of said plurality of pie sectors is organized according to a color continuum scale.

3. The method of claim 1, wherein said at least one segment represents at least two dimensions by at least one of:

a continuous color range, a single color, an opacity, a size of an area, a visual geometric pattern and a length of a segment.

4. A computerized visualization method for illustrating multi-dimensional data, comprising:

receiving a plurality of location data points, each location data point having a plurality of measured features;

choosing at least one location dimension from received said plurality of measured features;

grouping said plurality of location data points into a plurality of location groups according to chosen said at least one location dimension;

plotting, by a processor, said plurality of location groups as a plurality of flower charts, each said plurality of flower charts, having a plurality of pie sectors, illustrates remaining said plurality of measured features subsequent to said choosing at least one location dimension;

positioning each said plurality of flower charts, in a visual representation, according to chosen said plurality of location dimensions; and

wherein remaining said plurality of measured features illustrated by each said plurality of flower charts depict raw data of said plurality of location data points.

5. The method of claim 4, wherein said raw data is not aggregated and said raw data is not statistically manipulated.

6. The method of claim 4, further comprising:

displaying said plurality of flower charts as a figure on an electronic display screen.

7. The method of claim 4 further comprising:

receiving an additional plurality of location data points, each location data point having said plurality of measured features;

grouping said additional plurality of location data points into said plurality of location groups according to chosen said at least one location dimension; and

re-plotting, by a processor, said plurality of location groups, which comprise said additional plurality of location data point, as a plurality of flower charts, each said plurality of flower charts illustrating remaining said plurality of measured features.

8. The method of claim 4 wherein said each location data point has exactly five dimensions.

9. The method of claim 8, said five dimensions include:

a location along an X axis, a location along a Y axis, a temporal dimension and two additional dimensions.

10. The method of claim 4 wherein each said plurality of flower charts is plotted as at least one of:

a star with a plurality of pie sectors radiating from an origin, a ring and a radial graph.

11. The method of claim 4 wherein said positioning each said plurality of flower charts is performed by placing a center of each said plurality of flower charts at a position dictated by chosen said plurality of location dimensions of a respective group of said plurality of location groups.

12. The method of claim 4 wherein said visual representation is at least one of a city map, a road map, a geographic map, a building layout, a model of a retail store interior.

13. A system for visualizing multi-dimensional data comprising:

a processor;

a graphical user interface interfaced with said processor;

wherein said graphical user interface;

receives a plurality of location data points, each location data point having a plurality of measured features; and

enables a user to choose at least one location dimension from received said plurality of measured features;

wherein said processor;

groups said plurality of location data points into a plurality of location groups according to chosen said at least one location dimension;

plots said plurality of location groups as a plurality of flower charts, each said plurality of flower charts, having a plurality of pie sectors, illustrates remaining said plurality of measured features subsequent to said choosing at least one location dimension; and

positions each said plurality of flower charts, in a visual representation, according to chosen said plurality of location dimensions; and

wherein a plurality of segments of said plurality of pie sectors is organized according to opacity having a series of graduated tones ranging from black to white.

14. The system of claim 13, wherein each said plurality of pie sectors has at least one segment and any two pixels of same at least one segment have an identical color value.

15. The system of claim 13, wherein a plurality of colors of a plurality of segments of said plurality of pie sectors is organized according to a color continuum scale.

16. The system of claim 13, wherein remaining said plurality of measured features illustrated by each said plurality of flower charts depict raw data of said plurality of location data points.