Apparatus and method for analyzing trends with values of interest
First Claim
1. A server for facilitating a trend analysis system, wherein the server communicates with clients via a distributed computing network, and wherein the server comprises:
- (a) a memory storing an instruction set; and
(b) a processor for running the instruction set, the processor being in communication with the memory and the distributed computing network, wherein the processor is operative to;
(i) access a geographical map of a region of interest, the map including boundary divisions that represent a type of event;
(ii) receive a preliminary set of user-defined inputs to categorize the type of event;
(iii) access a database of values related to a plurality of events;
(iv) create assumptions related to the type of event, the assumptions being related to a spatial decay rate of a value of interest associated with each event;
(v) determine an assumptions variable based upon the assumptions; and
(vi) prepare a density map based upon the assumptions variable, the type of event, the geographical map, the preliminary set and the database of values, wherein the density map has large values in regions with a large numbers of events and small values in regions with a small number of events.
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Abstract
A trend analysis system accesses a database of values related to a plurality of events and a geographical map of a region of interest, the map including boundary divisions that represent a type of event. A user inputs a preliminary set of parameters to categorize the type of event and allows the trend analysis system to create assumptions related to the type of event, the assumptions being related to a spatial decay rate for the influence on a value of interest associated with each event. The trend analysis system determines an assumptions variable based upon the assumptions and prepares a density map based upon the assumptions variable, the type of event, the geographical map, the preliminary set and the database of values. The density map has large values in regions with a large numbers of events and small values in regions with a small number of events.
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Citations
37 Claims
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1. A server for facilitating a trend analysis system, wherein the server communicates with clients via a distributed computing network, and wherein the server comprises:
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(a) a memory storing an instruction set; and
(b) a processor for running the instruction set, the processor being in communication with the memory and the distributed computing network, wherein the processor is operative to;
(i) access a geographical map of a region of interest, the map including boundary divisions that represent a type of event;
(ii) receive a preliminary set of user-defined inputs to categorize the type of event;
(iii) access a database of values related to a plurality of events;
(iv) create assumptions related to the type of event, the assumptions being related to a spatial decay rate of a value of interest associated with each event;
(v) determine an assumptions variable based upon the assumptions; and
(vi) prepare a density map based upon the assumptions variable, the type of event, the geographical map, the preliminary set and the database of values, wherein the density map has large values in regions with a large numbers of events and small values in regions with a small number of events. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 23, 24, 25)
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20-22. -22. (canceled)
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26-33. -33. (canceled)
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34. A trend analysis system for analyzing historical data to model future trends comprising:
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an assumption section for receiving data related to at least one assumption concerning an event;
a construction section for creating a plurality of variables and equations based on the at least one assumption;
a calibration section for solving for the variables; and
a mapping section for applying the equations to the historical data to generate a map indicating a spatial zone of influence within a defined time period such that a trend direction is identified.
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35. (canceled)
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36. A method for analyzing a trend in real estate comprising the steps of:
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(a) accessing a geographical map of a region of interest, the map including boundary divisions that represent a type of event;
(b) entering a preliminary set of user-defined inputs to categorize the type of event;
(c) accessing a database of values associated with a plurality of events;
(d) creating assumptions related to the type of event, the assumptions being related to a spatial decay rate of a value of interest associated with each event;
(e) determining an assumptions variable based upon the assumptions; and
(f) caclulating a general influence function for the events governed by the assumptions variable based upon the spatial decay rate.
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37-45. -45. (canceled)
Specification