Abstract
Study and Analysis of Multidimensional Hilbert Space Filling Curve and Its Applications - A Survey
Highlights
The multidimensional representation is very important, because it is used to represent a object in a multidimensional space
[2] After him that was named as Hilbert Space Filling Curve (HSFC)
Query points are the spatial query points. [3][4] Spatial query points are the particular type of data-base query points
Summary
The multidimensional representation is very important, because it is used to represent a object in a multidimensional space. Space filling curve Maps a multidimensional data into one dimensional data. [1] For which every element present in a specific area can be viewed in a one dimensional figure. A space filling curve visits each and every points present in a specific area. That it will be easy to know that which elements are present in that area? In 1891 a German mathematician David Hilbert described about a space filling curve. [3][4] Spatial query points are the particular type of data-base query points. These spatial query points are supported by the geographical databases or the spatial database This describes spatial relationships between the geometrics like points lines and polygons
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
