Methods and systems for providing mapping, data management, and analysis

• US 9,824,463 B2
• Filed: 08/07/2015
• Issued: 11/21/2017
• Est. Priority Date: 09/08/2006
• Status: Active Grant

• Current Assignee: Esri Technologies, LLC
• Original Assignee: Esri Technologies, LLC
• Inventors: Ingrassia, Christopher Allen, Kumar, Pramukta Satya, Gorman, Sean
• Primary Examiner(s): WANG, JIN CHENG
• Application Number:
  US14/821,521
• Publication Number:
  US 20160035111A1
• Time in Patent Office: 837 Days
• Field of Search: 345422, 345581, 345589, 345593, 345591, 345605, 345597, 701211, 701532, 382191, 382293, 382284, 382128, 358 19, 703 2
• CPC Class Codes: G06F 16/29 Geographical information databases
• CPC Class Codes: G06F 16/9537 Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
• CPC Class Codes: G06T 11/001 Texturing; Colouring; Generation of texture or colour inpainting G06T5/77
• CPC Class Codes: G06T 11/206 Drawing of charts or graphs
• CPC Class Codes: G06T 17/05 Geographic models
• CPC Class Codes: G06T 2207/10032 Satellite or aerial image; Remote sensing
• CPC Class Codes: G06T 7/33 using feature-based methods
• CPC Class Codes: H04L 41/22 comprising specially adapted graphical user interfaces [GUI]

Abstract

A method for providing mapping, data management and analysis. Creation of a map is initiated with a desired Gaussian aggregation and desired color map parameters. Data is loaded to be utilized in the map. The data is rasterized, then converted to a certain scale. A convolution operation is performed on the data. The convolution results are applied to a color ramp, and the map is created based on the color ramp and the convolution results.

Claims

1. A method for providing mapping, data management and analysis, comprising:

initiating creation of a map with a desired Gaussian aggregation and desired color map parameters;

loading data to be utilized in the map;

rasterizing the data;

converting the data to a certain scale;

performing a convolution operation on the data;

applying convolution results to a color ramp;

creating the map based on the color ramp and the convolution result; and

integrating output from a network analysis system into the map, the integrating comprising;

importing edge inputs and edge attributes, the edge inputs comprising points connected to each other, and the edge attributes comprising attributes of the edge inputs;

performing a frequency analysis based on the edge inputs and edge attributes; and

joining edge results of the frequency analysis to the map.

2. The method of claim 1, further comprising analyzing the data using:

addition/integration;

subtraction;

multiplication;

or

a linear correlation;

or

any combination thereof.

3. The method of claim 2, further comprising employing the multiplication to perform an intersection analysis.

4. The method of claim 2, further comprising employing the subtraction to perform a temporal analysis.

5. The method of claim 2, further comprising employing the addition/integration to perform a special concentration analysis.

6. The method of claim 2, further comprising employing a linear correlation function to perform a correlation analysis.

7. The method of claim 1, further comprising delivering the map through a Web browser.

8. The method of claim 1, wherein the map is dynamically re-created as users zoom in and out or as temporal data feeds change.

9. The method of claim 1, wherein the method utilizes a bounding box and tiling technique to provide panning of raster analysis across the map.

10. The method of claim 1, wherein the data comprises user-generated vector data.

11. The method of claim 1, wherein the convolution is a Gaussian aggregation and the kernel radius is a Gaussian distance decay function.

12. The method of claim 1, wherein the data comprises user-generated vector data.

13. The method of claim 1, wherein the convolution operation is performed on the grayscale image data within the confines of a viewing boundary box around part of the grayscale image data in accordance with zoom and panning operations performed by the user.

14. The method of claim 13, wherein the viewing boundary box comprises a buffer around its periphery based on the kernel radius to produce an additional region of image around the viewing boundary box.

15. The method of claim 14, further comprising:

receiving a request from the user to pan the map; and

providing an updated map to the user including at least some of the image from the buffer.

16. A system for providing mapping, data management and analysis, comprising:

a processing device comprising a server coupled to a network;

a database accessible by the server; and

an application coupled to the server, the application configured for;

initiating creation of a map with a desired Gaussian aggregation and desired color map parameters;

loading data to be utilized in the map;

rasterizing the data;

converting the data to a certain scale;

performing a convolution operation on the data;

applying convolution results to a color ramp;

creating the map based on the color ramp and the convolution result; and

integrating output from a network analysis system into the map, the integrating comprising;

importing edge inputs and edge attributes, the edge inputs comprising points connected to each other, and the edge attributes comprising attributes of the edge inputs;

performing a frequency analysis based on the edge inputs and edge attributes; and

joining edge results of the frequency analysis to the map.

17. The system of claim 16, further comprising analyzing the data using:

addition/integration;

subtraction;

multiplication;

or

a linear correlation;

or

any combination thereof.

18. The system of claim 17, further comprising employing the multiplication to perform an intersection analysis.

19. The system of claim 17, further comprising employing the subtraction to perform a temporal analysis.

20. The system of claim 17, further comprising employing the addition/integration to perform a special concentration analysis.

21. The system of claim 17, further comprising employing a linear correlation function to perform a correlation analysis.

22. The system of claim 16, further comprising delivering the map through a Web browser.

23. The system of claim 16, wherein the map is dynamically re-created as users zoom in and out or as temporal data feeds change.

24. The system of claim 16, wherein the method utilizes a bounding box and tiling technique to provide panning of raster analysis across the map.

25. The system of claim 16, wherein the data comprises user-generated vector data.

26. The system of claim 16, wherein the convolution is a Gaussian aggregation and the kernel radius is a Gaussian distance decay function.

27. The system of claim 16, wherein the data comprises user-generated vector data.

28. The system of claim 16, wherein the convolution operation is performed on the grayscale image data within the confines of a viewing boundary box around part of the grayscale image data in accordance with zoom and panning operations performed by the user.

29. The system of claim 28, wherein the viewing boundary box comprises a buffer around its periphery based on the kernel radius to produce an additional region of image around the viewing boundary box.

30. The system of claim 29, further comprising:

receiving a request from the user to pan the map; and

providing an updated map to the user including at least some of the image from the buffer.