enow.com Web Search

Search results

1. Results from the WOW.Com Content Network

2. R-tree - Wikipedia

   en.wikipedia.org/wiki/R-tree

   R-trees are tree data structures used for spatial access methods, i.e., for indexing multi-dimensional information such as geographical coordinates, rectangles or polygons. The R-tree was proposed by Antonin Guttman in 1984 [2] and has found significant use in both theoretical and applied contexts. [3]

3. R*-tree - Wikipedia

   en.wikipedia.org/wiki/R*-tree

   In data processing R*-trees are a variant of R-trees used for indexing spatial information. R*-trees have slightly higher construction cost than standard R-trees, as the data may need to be reinserted; but the resulting tree will usually have a better query performance. Like the standard R-tree, it can store both point and spatial data.

4. Grid (spatial index) - Wikipedia

   en.wikipedia.org/wiki/Grid_(spatial_index)

   A grid-based spatial index has the advantage that the structure of the index can be created first, and data added on an ongoing basis without requiring any change to the index structure; indeed, if a common grid is used by disparate data collecting and indexing activities, such indices can easily be merged from a variety of sources.

5. Spatial database - Wikipedia

   en.wikipedia.org/wiki/Spatial_database

   A spatial database is a general-purpose database (usually a relational database) that has been enhanced to include spatial data that represents objects defined in a geometric space, along with tools for querying and analyzing such data. Most spatial databases allow the representation of simple geometric objects such as points, lines and polygons.

6. Data model (GIS) - Wikipedia

   en.wikipedia.org/wiki/Data_model_(GIS)

   Because the world is much more complex than can be represented in a computer, all geospatial data are incomplete approximations of the world. [9] Thus, most geospatial data models encode some form of strategy for collecting a finite sample of an often infinite domain, and a structure to organize the sample in such a way as to enable interpolation of the nature of the unsampled portion.

7. Hilbert R-tree - Wikipedia

   en.wikipedia.org/wiki/Hilbert_R-tree

   The nodes of the resulting R-tree will be fully packed, with the possible exception of the last node at each level. Thus, the space utilization is ≈100%; this structure is called a packed Hilbert R-tree. The second index, called a Dynamic Hilbert R-tree, supports insertions and deletions, and is suitable for a dynamic environment.

8. Quadtree - Wikipedia

   en.wikipedia.org/wiki/Quadtree

   The data associated with a leaf cell varies by application, but the leaf cell represents a "unit of interesting spatial information". The subdivided regions may be square or rectangular, or may have arbitrary shapes. This data structure was named a quadtree by Raphael Finkel and J.L. Bentley in 1974. [1] A similar partitioning is also known as ...

9. Geohash - Wikipedia

   en.wikipedia.org/wiki/Geohash

   An alternative to storing Geohashes as strings in a database are Locational codes, which are also called spatial keys and similar to QuadTiles. [11] [12] In some geographical information systems and Big Data spatial databases, a Hilbert curve based indexation can be used as an alternative to Z-order curve, like in the S2 Geometry library. [13]