A fabric selection tool provides an automated procedure for recommending and/or selecting a fabric for a window treatment to be installed in a building. The recommendation may be made to optimize the performance of the window treatment in which the fabric may be installed. The recommended fabric may be selected based on performance metrics associated with each fabric in an environment. The fabrics may be ranked based upon the performance metrics of one or more of the fabrics. One or more of the fabrics, and/or their corresponding ranks, may be displayed to a user for selection. The recommended fabrics may be determined based on combinations of fabrics that provide performance metrics for various façades of the building. Using the ranking system provided by the fabric selection tool, the user may obtain a fabric sample and/or order one or more of the recommended fabrics.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method for recommending a window treatment fabric, the method comprising: determining at least one position of window treatments that are controlled by an automated window treatment control system, wherein the at least one position of the window treatments cause at least a portion of at least one window of an interior space to be covered by the window treatments within at least one calendar day, wherein the at least one position is determined during at least two different time frames within the at least one calendar day; and presenting a recommendation to a user for at least one fabric of the window treatments to be used for at least one window, wherein the recommendation is based on the determined at least one position of the window treatments that are controlled by the automated window treatment control system. 2. The method of claim 1, wherein the determined at least one position of the window treatments is determined based on automated window treatment control information. 3. The method of claim 2, wherein the automated window treatment control information includes an angle of the sun, sensor information, an amount of cloud cover, or weather data. 4. The method of claim 2, wherein the automated window control system is configured to adjust the positions of the window treatments in response to at least one light intensity measured by a sensor. 5. The method of claim 2, wherein the automated window control system is configured to adjust the positions of the window treatments at intervals to minimize occupant distractions. 6. The method of claim 2, wherein the determined at least one position of the window treatments is determined based on a calculated angle of the sun to limit a sunlight penetration distance in a space of a building. 7. The method of claim 1, further comprising: computing at least one associated score for the at least one fabric of the window treatment based on at least one predicted performance metric, wherein the recommendation is based on the at least one associated score for the at least one fabric of the window treatment. 8. The method of claim 7, wherein the at least one associated score comprises at least one of a glare score that indicates a predicted amount of glare resulting in a building from use of the at least one fabric in the window treatment, a view score that indicates an occupant's predicted amount of view out of the at least one window when the window treatment is installed, or a daylight score that indicates a predicted amount of daylight resulting in the interior space from use of the fabric in the window treatment. 9. The method of claim 1, wherein the interior space is within a building, and wherein the automated window treatment control system determines the at least one position of the at least one window of the interior space to be covered by the window treatments based at least on astrological information about the building. 10. The method of claim 1, wherein the automated window treatment control system determines the at least one position of the at least one window treatment to affect at least one predicted performance metric associated with daylight entering the interior space through the at least one window, wherein the at least one predicted performance metric comprises at least one of a daylight glare probability, a spatial daylight autonomy, or a view preservation, and wherein the daylight glare probability indicates a maximum daylight glare intensity over a period of time, the spatial daylight autonomy indicates an amount of floor space in a building where daylight alone may provide light over a period of time, and view preservation indicates an amount of the at least one window that may be unobstructed by the window treatment. 11. The method of claim 1, wherein at least one predicted performance metric is received from a fabric performance engine that calculates the at least one predicted performance metric based on environmental characteristics associated with a building in which the at least one fabric of the window treatments will be installed and fabric data associated with the at least one fabric. 12. The method of claim 1, wherein the window treatment comprises at least one of a manual window treatment or an automated window treatment, and wherein at least one predicted performance metric is based on a predicted performance when installed in the at least one of the manual window treatment or the automated window treatment. 13. The method of claim 12, wherein ranking the plurality of fabrics further comprises ranking the plurality of fabrics based on the predicted performance metrics when the fabric is installed in the at least one of the manual window treatment or the automated window treatment. 14. The method of claim 12, further comprising: comparing the at least one predicted performance metric of each fabric of the plurality of fabrics when installed in the automated window treatment to the at least one predicted performance metric of the fabric when installed in the manual window treatment; and displaying the at least one performance metric of the recommended fabric when installed in the automated window treatment and the at least one performance metric of the recommended fabric when installed in the manual window treatment on a visual display. 15. A motorized window treatment configured to be mounted adjacent to a window of an interior space, the motorized window treatment comprising: a motor drive unit responsive to an automated control system; and a window treatment configured to be installed on or around the window in such a way that the motor drive unit is configured to adjust a position of the window treatment in response to the automated control system, the window treatment selected by determining at least one position of the window treatment as controlled by the automated control system to cause at least a portion of the window to be covered by the window treatment during at least two different time frames within the at least one calendar day, and presenting a recommendation to a user for at least one fabric of the window treatment to be used for the window, where the recommendation is based on the determined at least one position of the window treatment as controlled by the automated control system. 16. The motorized window treatment of claim 15, wherein the motor drive unit is configured to receive a digital message and to adjust the position of the window treatment in response to the received digital message. 17. The motorized window treatment of claim 16, wherein the motor drive unit is configured to adjust the position of the window treatment in response to at least one light intensity measured by a sensor. 18. The motorized window treatment of claim 16, wherein the motor drive unit is configured to adjust the position of the window treatment in response to the digital message at intervals to minimize occupant distractions. 19. The motorized window treatment of claim 16, wherein the motor drive unit is configured to adjust the position of the window treatment in response to the digital message to limit a sunlight penetration distance in a space in which the window is located.