A method and system for forecasting the conditions of locations is provided. The method includes receiving in real time from a user in a specified location, a specified future timeframe associated with a future condition of the specified location. Multiple condition data sets associated with an element of the specified location are simultaneously retrieved and a best fit polynomial equation associated with predicting a future condition of the element is selected. Condition score values associated with future conditions of the element are calculated. An overall condition score value associated with an aggregation of individual condition score values is calculated and presented.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A location condition forecasting method comprising: receiving in real time from a user in a specified location, by a computer processor of a computing system, a specified future timeframe associated with a future condition of said specified location; simultaneously retrieving, by said computer processor from a database, multiple condition data sets associated with at least one element of said specified location; selecting, by said computer processor, a best fit polynomial equation associated with predicting a future condition of said at least one element; simultaneously calculating, by said computer processor executing said best fit polynomial equation with respect to said multiple condition data sets and said specified future timeframe, condition score values associated with future conditions of said at least one element; calculating, by said computer processor, an overall condition score value associated with said condition score values, wherein said overall condition score value comprises an aggregated weighted average of said condition score values; and presenting, by said computer processor to a user, said overall condition score value. 2. The method of claim 1, wherein said multiple condition data sets comprise current condition data sets associated with current conditions of said at least one element of said specified location. 3. The method of claim 1, wherein said multiple condition data sets comprise current condition data sets associated with current conditions of said at least one element of said specified location and past condition data sets associated with previous conditions of said at least one element of said specified location. 4. The method of claim 1, wherein specified location comprises a specified geographical area, wherein said at least one element is associated with multiple locations within said specified geographical area, and wherein said overall condition score value comprises a single overall condition score value of said specified geographical area. 5. The method of claim 1, wherein specified location comprises a single location within a specified geographical area, and wherein said method further comprises: simultaneously retrieving, by said computer processor from a database, multiple additional condition data sets associated with additional multiple elements of multiple locations of said specified geographical area; simultaneously calculating, by said computer processor executing said best fit polynomial equation with respect to said multiple additional condition data sets and said specified future timeframe, additional condition score values associated with future conditions of said additional multiple locations; calculating, by said computer processor, an overall geographical location condition score value associated with said additional condition score values and said overall condition score value, wherein said overall geographical location condition score value comprises an aggregated weighted average of said additional condition score values and said overall condition score value; and presenting, by said computer processor to said user, said overall geographical location condition score value. 6. The method of claim 1, further comprising: receiving, by said computer processor from said user, modification data describing anticipated future modifications associated with said at least one element; selecting, by said computer processor, an updated best fit polynomial equation associated with predicting an updated future condition of said at least one element; simultaneously calculating, by said computer processor executing said best fit polynomial equation with respect to said modification data, multiple condition data sets, and said specified future timeframe, updated condition score values associated with updated future conditions of said at least one element; calculating, by said computer processor, an updated overall condition score value associated with said updated condition score values, wherein said updated overall condition score value comprises an aggregated weighted average of said updated condition score values; and presenting, by said computer processor to a user, said updated overall condition score value. 7. The method of claim 1, further comprising: determining, by said computer processor, a confidence level value associated with said overall condition score value, wherein said confidence level is calculated based on number of said condition score values with respect to a time period elapsed between a current time and said specified future timeframe; and presenting, by said computer processor to said user, said confidence level value. 8. The method of claim 1, further comprising: providing at least one support service for at least one of creating, integrating, hosting, maintaining, and deploying computer-readable code in the computing system, said code being executed by the computer processor to implement: said receiving, said simultaneously retrieving, said selecting, said simultaneously calculating, said calculating, and said presenting. 9. A computing system comprising a computer processor coupled to a computer-readable memory unit, said memory unit comprising instructions that when executed by the computer processor implements a method comprising: receiving in real time from a user in a specified location, by said computer processor, a specified future timeframe associated with a future condition of said specified location; simultaneously retrieving, by said computer processor from a database, multiple condition data sets associated with at least one element of said specified location; selecting, by said computer processor, a best fit polynomial equation associated with predicting a future condition of said at least one element; simultaneously calculating, by said computer processor executing said best fit polynomial equation with respect to said multiple condition data sets and said specified future timeframe, condition score values associated with future conditions of said at least one element; calculating, by said computer processor, an overall condition score value associated with said condition score values, wherein said overall condition score value comprises an aggregated weighted average of said condition score values; and presenting, by said computer processor to a user, said overall condition score value. 10. The computing system of claim 9, wherein said multiple condition data sets comprise current condition data sets associated with current conditions of said at least one element of said specified location. 11. The computing system of claim 9, wherein said multiple condition data sets comprise current condition data sets associated with current conditions of said at least one element of said specified location and past condition data sets associated with previous conditions of said at least one element of said specified location. 12. The computing system of claim 9, wherein specified location comprises a specified geographical area, wherein said at least one element is associated with multiple locations within said specified geographical area, and wherein said overall condition score value comprises a single overall condition score value of said specified geographical area. 13. The computing system of claim 9, wherein specified location comprises a single location within a specified geographical area, and wherein said method further comprises: simultaneously retrieving, by said computer processor from a database, multiple additional condition data sets associated with additional multiple elements of multiple locations of said specified geographical area; simultaneously calculating, by said computer processor executing said best fit polynomial equation with respect to said multiple additional condition data sets and said specified future timeframe, additional condition score values associated with future conditions of said additional multiple locations; calculating, by said computer processor, an overall geographical location condition score value associated with said additional condition score values and said overall condition score value, wherein said overall geographical location condition score value comprises an aggregated weighted average of said additional condition score values and said overall condition score value; and presenting, by said computer processor to said user, said overall geographical location condition score value. 14. The computing system of claim 9, wherein said method further comprises: receiving, by said computer processor from said user, modification data describing anticipated future modifications associated with said at least one element; selecting, by said computer processor, an updated best fit polynomial equation associated with predicting an updated future condition of said at least one element; simultaneously calculating, by said computer processor executing said best fit polynomial equation with respect to said modification data, multiple condition data sets, and said specified future timeframe, updated condition score values associated with updated future conditions of said at least one element; calculating, by said computer processor, an updated overall condition score value associated with said updated condition score values, wherein said updated overall condition score value comprises an aggregated weighted average of said updated condition score values; and presenting, by said computer processor to a user, said updated overall condition score value. 15. The computing system of claim 9, wherein said method further comprises: determining, by said computer processor, a confidence level value associated with said overall condition score value, wherein said confidence level is calculated based on number of said condition score values with respect to a time period elapsed between a current time and said specified future timeframe; and presenting, by said computer processor to said user, said confidence level value. 16. A computer program product, comprising a computer readable hardware storage device storing a computer readable program code, said computer readable program code comprising an algorithm that when executed by a computer processor of a computing system implements a method, said method comprising: receiving in real time from a user in a specified location, by said computer processor, a specified future timeframe associated with a future condition of said specified location; simultaneously retrieving, by said computer processor from a database, multiple condition data sets associated with at least one element of said specified location; selecting, by said computer processor, a best fit polynomial equation associated with predicting a future condition of said at least one element; simultaneously calculating, by said computer processor executing said best fit polynomial equation with respect to said multiple condition data sets and said specified future timeframe, condition score values associated with future conditions of said at least one element; calculating, by said computer processor, an overall condition score value associated with said condition score values, wherein said overall condition score value comprises an aggregated weighted average of said condition score values; and presenting, by said computer processor to a user, said overall condition score value. 17. The computer program product of claim 16, wherein said multiple condition data sets comprise current condition data sets associated with current conditions of said at least one element of said specified location. 18. The computer program product of claim 16, wherein said multiple condition data sets comprise current condition data sets associated with current conditions of said at least one element of said specified location and past condition data sets associated with previous conditions of said at least one element of said specified location. 19. The computer program product of claim 16, wherein specified location comprises a specified geographical area, wherein said at least one element is associated with multiple locations within said specified geographical area, and wherein said overall condition score value comprises a single overall condition score value of said specified geographical area. 20. The computer program product of claim 16, wherein specified location comprises a single location within a specified geographical area, and wherein said method further comprises: simultaneously retrieving, by said computer processor from a database, multiple additional condition data sets associated with additional multiple elements of multiple locations of said specified geographical area; simultaneously calculating, by said computer processor executing said best fit polynomial equation with respect to said multiple additional condition data sets and said specified future timeframe, additional condition score values associated with future conditions of said additional multiple locations; calculating, by said computer processor, an overall geographical location condition score value associated with said additional condition score values and said overall condition score value, wherein said overall geographical location condition score value comprises an aggregated weighted average of said additional condition score values and said overall condition score value; and presenting, by said computer processor to said user, said overall geographical location condition score value.