A map has to be designed to show the directions and the objects present in a specific area. So, it is necessary to visit each and every points of that area. For that a Space Filling Curve can be used. SFC can visit all the points present in a multi-dimensional data base. A spatial query can select geographical features based on location or spatial relationship, and a Nearest Neighbor search can be used to find the nearest object of a query object
Abstract. Efficiently accessing multidimensional data is a challenge for building modern database ap...
Several schemes for linear mapping of multidimensional space have been proposed for many application...
A space-filling curve is a way of mapping the discrete multi-dimensional space into the one-dimensio...
A map has to be designed to show the directions and the objects present in a specific area. So, it i...
A space-filling curve (SFC) is a way of mapping a multi-dimensional space into a one-dimensional spa...
Several schemes for linear mapping of multidimensional space have been proposed for many application...
Mapping to one-dimensional values and then using a one-dimensional indexing method has been proposed...
The advantages of three dimensional (3D) city models can be seen in various applications including p...
Indexing schemes for grids based on space-filling curves (e.g., Hilbert curves) find applications in...
Hilbert’s two-dimensional space-filling curve is appreciated for its good locality properties for ma...
Hilbert's two-dimensional space-filling curve is appreciated for its good locality properties for ma...
The Nearest Neighbor algorithm is one of the simplest and oldest classification techniques. A given ...
Several schemes for linear mapping of a multidimensional space have been proposed for various applic...
AbstractThe subject of this paper is a means of converging to a set of numbers in certain mathematic...
The use of space filling curves for proximity-improving mappings is well known and has found many us...
Abstract. Efficiently accessing multidimensional data is a challenge for building modern database ap...
Several schemes for linear mapping of multidimensional space have been proposed for many application...
A space-filling curve is a way of mapping the discrete multi-dimensional space into the one-dimensio...
A map has to be designed to show the directions and the objects present in a specific area. So, it i...
A space-filling curve (SFC) is a way of mapping a multi-dimensional space into a one-dimensional spa...
Several schemes for linear mapping of multidimensional space have been proposed for many application...
Mapping to one-dimensional values and then using a one-dimensional indexing method has been proposed...
The advantages of three dimensional (3D) city models can be seen in various applications including p...
Indexing schemes for grids based on space-filling curves (e.g., Hilbert curves) find applications in...
Hilbert’s two-dimensional space-filling curve is appreciated for its good locality properties for ma...
Hilbert's two-dimensional space-filling curve is appreciated for its good locality properties for ma...
The Nearest Neighbor algorithm is one of the simplest and oldest classification techniques. A given ...
Several schemes for linear mapping of a multidimensional space have been proposed for various applic...
AbstractThe subject of this paper is a means of converging to a set of numbers in certain mathematic...
The use of space filling curves for proximity-improving mappings is well known and has found many us...
Abstract. Efficiently accessing multidimensional data is a challenge for building modern database ap...
Several schemes for linear mapping of multidimensional space have been proposed for many application...
A space-filling curve is a way of mapping the discrete multi-dimensional space into the one-dimensio...