Querying Vague Spatial Objects in Databases With VASA
Source: University of Florida
Recent years have been witness to the increasing efforts of scientists to design concepts and implementations that can adequately handle the vagueness and imprecision that is widespread in spatial data. Plenty of spatial entities, especially those that occur naturally such as mountains and biotopes, contain intrinsic vague attributes that make their representation as crisply bounded entities ineffective and far from exact. Other examples of such spatial objects include population density, pollution clouds, oil pouches, and even lakes and rivers whose water levels are not determinate but rather can change depending on the pluvial activity. In the context of spatial databases, retrieval and handling of vague spatial objects through querying is critical in exploiting the functionality of the database.