Generating interactively mapped data visualizations

• US 9,940,739 B2
• Filed: 08/28/2015
• Issued: 04/10/2018
• Est. Priority Date: 08/28/2015
• Status: Active Grant

• Current Assignee: Accenture Global Services Limited (Accenture PLC)
• Original Assignee: Accenture Global Services Limited (Accenture PLC)
• Inventors: Bynoe, Joseph
• Primary Examiner(s): ZALALEE, SULTANA MARCIA
• Application Number:
  US14/839,032
• Publication Number:
  US 20170061656A1
• Time in Patent Office: 956 Days
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06T 11/206 Drawing of charts or graphs

Abstract

A method and systems for generating interactively mapped data visualizations are provided. The system includes geocoded data and a user interface for displaying visualized geocoded data. A visualization circuitry is configured to access the time-series geocoded data, obtain activity data, develop relationship data according to the obtained activity data to reflect relationships among the time-series geocoded data, select a data display mode and process the time-series geocoded data by receiving a selection, generating an area map, filtering the time series geocoded data, associating the relationship data with the filtered time series geocoded data, transforming the filtered time series geocoded, and generating a display of the displayable data.

Claims

1. A system comprising:

a memory storing time-series geocoded data;

visualization circuitry in communication with the memory, the visualization circuitry configured to;

access the time-series geocoded data from the memory;

obtain activity data that is embedded with the time-series geocoded data for a plurality of different types of activities;

develop relationship data according to the obtained activity data to reflect different types of relationships among the time-series geocoded data;

select a data display mode from a plurality of pre-determined data display modes for the time-series geocoded data based on the different types of activities and the different types of relationships; and

process the time-series geocoded data by;

receiving a selection of the data display mode;

generating an area map for the selected data display mode;

filtering the time series geocoded data to obtain a subset of data based on the data display mode;

associating the relationship data with the filtered time series geocoded data;

transforming the filtered time series geocoded data and the relationship data to displayable data according to the activity data, the relationship data and the selected data display mode;

generating a display of the displayable data in the area map according to the relationship data and the activity data; and

displaying, with the area map, a plurality of filters configured based on the selected display mode for further filtering the time series geocoded data; and

wherein the plurality of pre-determined data display modes comprises at least a mode for displaying concentric rings of the activity data or the relationship data comprising at least an inner ring segmented into multiple segments to represent categories of one of the different types of activities and an outer ring having multiple portions corresponding to the multiple segments of the inner ring each further segmented to represent different entities carrying out the corresponding category of one of the different types of activities, and wherein at least one of the different entities is represented in more than one portion of the outer ring.

2. The system of claim 1, wherein the plurality filters comprise at least one of:

1) time period,

     2) a first attribute category, and

     3) a second attribute category.

3. The system of claim 2, wherein the plurality of filters that are used by the visualization circuitry for filtering are applied by:

receiving a selection of a time period to select a first subset of the time series geocoded data;

receiving a selection of a first attribute category of geocoded data to select a second subset of the time series geocoded data;

receiving a selection of a second attribute category to select a third subset of the time series geocoded data; and

retrieving the filtered time series geocoded data commonly contained in the first subset, second subset and third subset of the time series geocoded data.

4. The system of claim 1, wherein the activity data comprises shots, hits, and assists of a player in a hockey game and the relationship data comprises passes and statistical data derived from the activity data, wherein the shots, the hits or assist are displayed in the area map that mimics a sports playing field.

5. The system of claim 1, wherein the relationship data comprises a matrix for each team in a sports competition to show passing to and from each player on the team.

6. The system of claim 1, wherein the multiple segments of the inner ring represent goals, on target shots, and missed shots in a sports competition for a team, and wherein the outer ring is segmented to represent numbers of goals, on target shots, and missed shots of players of the team.

7. The system of claim 6, where the concentric rings further comprise a ring inside the inner ring representing the team.

8. The system of claim 1, wherein the area map is a sports playing field format that comprises hexagons, wherein the hexagons represent accuracy of shots which is calculated by counting a number of shots on target plus a number of goals and dividing by a total number of shots in an area of the hexagons.

9. The system of claim 1, wherein the relationship data comprises a direction and a distance of passing from one player to another player in a sports competition.

10. The system of claim 1, wherein the relationship data comprises a hit relationship showing an offensive hit and a defensive hit, wherein both the offensive hit and the defensive hit are displayed in the area map.

11. A method comprising:

storing time-series geocoded data in a memory;

accessing, by a visualization circuitry, the time-series geocoded data from the memory;

obtaining, by a visualization circuitry, activity data that is embedded with the time-series geocoded data for plurality of different types of activities;

developing, by a visualization circuitry, relationship data according to the obtained activity data to reflect different types of relationships among the time-series geocoded data;

selecting, by a visualization circuitry, a data display mode from a plurality of pre-determined data display modes for the time-series geocoded data based on the different types of activities and the different types of relationships;

processing, by a visualization circuitry, the time-series geocoded data by;

receiving a selection of the data display mode;

generating an area map for the selected data display mode;

filtering the time series geocoded data to obtain a subset of data based on the data display mode;

associating the relationship data with the filtered time series geocoded data;

transforming the filtered time series geocoded data and the relationship data to displayable data according to the activity data, the relationship data and the selected data display mode;

generating a display of the displayable data in the area map according to the relationship data and the activity data; and

displaying, with the area map, a plurality of filters configured based on the selected display mode for further filtering the time series geocoded data; and

wherein the plurality of pre-determined data display modes comprises at least a mode for displaying concentric rings of the activity data or the relationship data comprising at least an inner ring segmented into multiple segments to represent categories of one of the different types of activities and an outer ring having multiple portions corresponding to the multiple segments of the inner ring each further segmented to represent different entities carrying out the corresponding category of one of the different types of activities, and wherein at least one of the different entities is represented in more than one portion of the outer ring.

12. The method of claim 11, wherein the plurality of filters comprise at least one of:

1) time period,

     2) a first attribute category, and

     3) a second attribute category.

13. The method of claim 12, wherein the plurality of filters that are used by the visualization circuitry for filtering are applied by:

receiving a selection of a time period to select a first subset of the time series geocoded data;

receiving a selection of a first attribute category of geocoded data to select a second subset of the time series geocoded data;

receiving a selection of a second attribute category to select a third subset of the time series geocoded data; and

retrieving the filtered time series geocoded data commonly contained in the first subset, second subset and third subset of the time series geocoded data.

14. The method of claim 11, wherein the activity data comprises shots, hits, and assists of a player in a hockey game and the relationship data comprises passes and statistical data derived from the activity data, wherein the shots, the hits or assist are displayed in the area map that mimics a sports playing field.

15. The method of claim 11, wherein the relationship data comprises a matrix for each team in a sports competition to show passing to and from each player on the team.

16. The method of claim 11, wherein the multiple segments of the inner ring represent goals, on target shots, and missed shots in a sports competition for a team, and wherein the outer ring is segmented to represent numbers of goals, on target shots, and missed shots of players of the team.

17. The method of claim 16, where the concentric rings further comprise a ring inside the inner ring representing the team.

18. The method of claim 11, wherein the area map is a sports playing field format that comprises hexagons, wherein the hexagons represent accuracy of shots which is calculated by counting a number of shots on target plus a number of goals and dividing by a total number of shots in an area of the hexagons.

19. The method of claim 11, wherein the relationship data comprises a direction and a distance of passing from one player to another player in a sports competition.

20. The method of claim 11, wherein the relationship data comprises a hit relationship showing an offensive hit and a defensive hit, wherein both the offensive hit and the defensive hit are displayed in the area map.

21. A system comprising:

a memory storing time-series geocoded data;

visualization circuitry in communication with the memory, the visualization circuitry configured to;

access the time-series geocoded data from the memory;

obtain activity data that is embedded with the time-series geocoded data for a plurality of different types of activities;

develop relationship data according to the obtained activity data to reflect different types of relationships among the time-series geocoded data;

select a data display mode from a plurality of pre-determined data display modes for the time-series geocoded data based on the different types of activities and the different types of relationships; and

process the time-series geocoded data by;

receiving a selection of the data display mode;

generating an area map for the selected data display mode;

filtering the time series geocoded data to obtain a subset of data based on the data display mode;

associating the relationship data with the filtered time series geocoded data;

transforming the filtered time series geocoded data and the relationship data to displayable data according to the activity data, the relationship data and the selected data display mode;

generating a display of the displayable data in the area map according to the relationship data and the activity data; and

displaying, with the area map, a plurality of filters configured based on the selected display mode for further filtering the time series geocoded data; and

wherein the plurality of pre-determined display data modes comprises at least a mode for displaying circularly arranged wedges of varied circumferential lengths with at least one connection curve having two opposite ends with different widths terminating on two of the wedges, the wedges representing members of a group of entities, the lengths of the wedges representing data values for one of the different types of activities by the members of the group of entities, and the widths of the opposite ends of the connection curves representing relationship between the members represented by the two connected wedges with respect to the one the different types of activities.