Manipulating Interpolate4d Data is Easier than You Thought

摘要

Data defined by interpolation is frequently found in new applications involving geographical entities, moving objects, or spatio-temporal data. These data lead to potentially infinite collections of items, (e.g., the elevation of any point in a map), whose definitions are based on the association of a collection of samples with an interpolation function. The naive manipulation of the data through direct access to both the samples and the interpolation functions leads to cumbersome or inaccurate queries. It is desirable to hide the samples and the interpolation functions from the logical level, while their manipulation is performed automatically.