Abstract: Techniques for creating and searching a database that stores information about a plurality of individual habitable units (IHUs) are provided. An example of an IHU is a hotel room. Image data that depicts where a plurality of IHUs reside relative to each other is placed on a base image, such as a satellite/map image. The base image is associated with a mapping that maps points on the base image to spatial (e.g., geographical) coordinates. The coordinates of the IHU may be used to generate a computer-rendered view from a window of an IHU. Also, label input is received that labels each IHU reflected in the image data with certain information. Each label indicates a value of an attribute of an IHU, such as its size, price, distance from elevators, etc. A query that targets information about each IHU may be processed and results returned that are ranked based on criteria associated with the query.

Abstract: Techniques for creating and searching a database that stores information about a plurality of individual habitable units (IHUs) are provided. An example of an IHU is a hotel room. Image data that depicts where a plurality of IHUs reside relative to each other is placed on a base image, such as a satellite/map image. The base image is associated with a mapping that maps points on the base image to spatial (e.g., geographical) coordinates. The coordinates of the IHU may be used to generate a computer-rendered view from a window of an IHU. Also, label input is received that labels each IHU reflected in the image data with certain information. Each label indicates a value of an attribute of an IHU, such as its size, price, distance from elevators, etc. A query that targets information about each IHU may be processed and results returned that are ranked based on criteria associated with the query.