Question

• Q 1.8 : Sorting is a popular method to access "traditional data" rapidly. Why is it difficult to sort spatial data?

Answer 1

One of the main difficulties for spatial data is the volume of the data, which influences how it is stored and accessed, and what activities will be applied to it.

Sorting the spatial data empowers the productive execution of operations on it in GIS (Geographic Information Systems). The entry separates based on the kind of the spatial data, which for this situation fall into raster and vector. The raster data are arranged through the utilization of various distinctive space filling curves which are mappings from 2-D to 1-D. The data are very voluminous and accordingly every one of them can't be found a way into memory on the double. Thusly, external storage must be utilized. The sorting is applied so as to empower productive execution of activities or operations. On account of vector data, two techniques are examined. The first depends on an object hierarchy and recognizes consumed and vacant space, while the second sorts the data as for the space that is involved and basically sorts the districts including the basic space so the quantity of spatial items that they contain is inside a similar reach. In the two instances of the vector data, the sorting is certain, though on account of the raster data the sorting is express.