System and method for real estate spatial data analysis

• US 8,799,004 B2
• Filed: 07/05/2007
• Issued: 08/05/2014
• Est. Priority Date: 07/05/2007
• Status: Active Grant

• Current Assignee: Map IP One LLC
• Original Assignee: Map IP One LLC
• Inventors: Bishop, Moye Lynwood III, Kirbo, Glenn Arthur Jr.
• Primary Examiner(s): Vig, Naresh
• Application Number:
  US11/825,184
• Publication Number:
  US 20090012803A1
• Time in Patent Office: 2,588 Days
• Field of Search: 705/1.1
• US Class Current: 705/1.1
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 50/16 Real estate
• CPC Class Codes: G06Q 50/165 Land development
• CPC Class Codes: G06Q 90/20 Destination assistance within a business structure or complex

Abstract

A system and method for providing analysis on geocoded objects through collection, distribution and use of information through a user interface which allows the user to visualize the analysis through maps, symbols, text, and colors. In the context of commercial real estate, the system and method provides the user with a visual display and printout which allows the user to make decisions as to where retail locations should be located.

Claims

1. A method of displaying a concentration of businesses in a subset of a geographic area by coloring a map based upon a business type of the businesses, comprising the steps of:

defining, in at least one computer system, a plurality of commercial land use types according to competing business purpose;

assigning, in the at least one computer system, at least one of a plurality of commercial land use types to each of a plurality of businesses in the subset of the geographic area;

associating, in the at least one computer system, a color to each of the plurality of commercial land use types;

calculating, in the at least one computer system, a predominant commercial land use for a plurality of areas within the subset of the geographic area from among the plurality of commercial land use types assigned in the geographic area;

generating, in the at least one computer system, the map displaying the geographical area; and

coloring, in the at least one computer system, in a map user interface each of the plurality of areas in the subset of the geographic area on the map the color assigned to the predominant commercial land use.

2. The method of claim 1, wherein the step of calculating the predominant commercial land use comprises the step of:

totaling, in the at least one computer system, a number of businesses associated with each of the plurality of commercial land use types in each of the plurality of areas; and

selecting, in the at least one computer system, one commercial land use type from among the plurality of commercial land use types with a greatest number of businesses in each of the plurality of areas.

3. The method of claim 1, wherein the step of calculating the predominant commercial land use further comprises the steps of:

assigning, in the at least one computer system, a weight to each of the plurality of businesses; and

calculating, in the at least one computer system, a total associated with a plurality of weights assigned to each of the plurality of businesses in each commercial land use type; and

designating the predominant commercial land use as a one of the commercial land use types having a highest total weight.

4. The method of claim 3, wherein the weight assigned to each of the plurality of businesses is associated with a size of a business.

5. The method of claim 3, wherein the weight assigned to each of the plurality of businesses is associated with a character of a business.

6. The method of claim 3, wherein a distressed commercial land use type is associated with a higher weight relative other commercial land use types.

7. The method of claim 1, further comprising the steps of:

performing a first plurality of spatial queries against at least one data source within each of the plurality of areas, each of the first plurality of spatial queries returning a listing of the businesses associated with each of the plurality of areas;

performing a second plurality of spatial queries against at least one within each of the plurality of areas, each of the second plurality of spatial queries returning a predominant commercial land use associated with each of the plurality of areas.

8. The method of claim 1, wherein the plurality of commercial land use types are one of:

industrial, office, retail and distressed.

9. The method of claim 8, wherein the plurality of commercial land use types further comprise a tourist district.

10. The method of claim 1, further comprising the step of identifying a plurality of incremental areas having a single predominant commercial land use and wherein the step of coloring each of the plurality of areas within the subset of the geographic area further comprises drawing a shape around each of the incremental areas.

11. The method of claim 1, wherein the step of coloring each of the plurality of areas in the subset of the geographic area on the map the color assigned to the predominant commercial land use further comprises the steps of:

determining a density associated with the predominant commercial land use; and

determining an intensity of the color based at least upon the density.

12. The method of claim 11, wherein the density is based upon a number of businesses within a respective area that are associated with the predominant commercial land use.

13. A system configured to display a concentration of businesses in a geographic area by coloring a map based upon a commercial land use type of the businesses, comprising:

means for defining a plurality of land use types according to competing business purpose;

means for assigning at least one of a plurality of commercial land use types to each of a plurality of businesses in the geographic area;

means for associating a color to each of the plurality of commercial land use types;

means for defining a plurality of areas within the geographic area;

means for calculating a predominant commercial land use for each of the plurality of areas from among the plurality of commercial land use types assigned in the geographic area, wherein the calculating means comprises means for assigning a weight to each of the plurality of businesses, the weight being associated with a size of a business, means for calculating a total associated with a plurality of weights assigned to each of the plurality of businesses in each commercial land use type, and means for designating the predominant commercial land use as a one of the commercial land use types having a highest total weight;

means for generating a map user interface associated with the geographical area; and

means for coloring each of the plurality of areas within the geographic area on the map user interface the color assigned to the predominant commercial land use.

14. A non-transitory computer-readable medium embodying a program, the program configured to display a concentration of businesses in a geographic area by coloring a map based upon a commercial land use type of the businesses, the program comprising executable code that is executed by a computer system and further comprising:

code that defines a plurality of land use types according to competing business purpose;

code that assigns at least one of a plurality of commercial land use types to each of a plurality of businesses in the geographic area;

code that associates a color to each of the plurality of commercial land use types;

code that defines a plurality of areas within the geographic area;

code that calculates a predominant commercial land use for each of the plurality of areas from among the plurality of commercial land use types assigned in the geographic area by assigning a weight to each of the plurality of businesses, the weight being associated with at least one of a size of a business, calculating a total associated with a plurality of weights assigned to each of the plurality of businesses in each commercial land use type, and designating the predominant commercial land use as a one of the commercial land use types having a highest total weight;

code that generates a map user interface associated with the geographical area; and

code that colors each of the plurality of areas within the geographic area on the map user interface the color assigned to the predominant commercial land use.

15. The non-transitory computer-readable medium of claim 14, wherein the program further comprises:

code that performs a first plurality of spatial queries within each of the plurality of areas, each of the first plurality of spatial queries returning a listing of the businesses with each of the plurality of areas; and

code that performs a second plurality of spatial queries within each of the plurality of areas, each of second plurality of spatial queries returning a predominant commercial land use associated with each of the plurality of areas.

16. The non-transitory computer-readable medium of claim 14, wherein the weight is further based at least upon whether a business is distressed.

17. The non-transitory computer-readable medium of claim 14, wherein a distressed commercial land use type is associated with a higher weight relative other commercial land use types.

18. The non-transitory computer-readable medium of claim 14, wherein the program further comprises code that identifies a plurality of adjacent areas having a single predominant commercial land use and the code that colors each of the plurality of areas within the geographic area further comprises code that draws a shape around each of the adjacent areas.

19. The non-transitory computer-readable medium of claim 14, wherein the plurality of commercial land use types are one of:

industrial, office, retail and distressed.

20. The non-transitory computer-readable medium of claim 14, wherein the plurality of commercial land use types further comprise a tourist district.