Spacial database systems offer the underlying database technology for geographic information systems and other applications. Several terms have been used to describe database systems offering such support, including pictorial image, geometric, geographic, and spatial. The terms pictorial database system and image arise from the fact that the data to be managed are often initially captured in the form of digital raster images, remote sensing by satellites, or compuer tomography in medical applications. Spatial database management involves two main categories of data: vector and raster data. The former has received a lot of in-depth investigation; the latter still lacks a sound frmaework. Current DBMSs either regard raster data as pure byte sequence where the DBMS has no knowledge about the underlying semantics, or they do not complement array structures with storage mechanisms suitable for huge arrays, or they are designed as specialized systems with sophisticated imaging functionality, but no general database capabilities. We will discuss some of the aspects of spatial data, spatial databae and it's management.

We now introduce an MDD definition and manipulation language, which forms a database sublanguage suitable for the description and manipulation of images and other MDD types. Because MDD research originated from extending the prototype ooDBMS APRIL (Baumann and Kohler, 1989), the type definition and query language were taken from APRIL. The conceptual model of APRIL offers objects which are identified through an external visible object. Through an object type definition, the following object constituents can be specified:

Various relation-based systems, concerned with the qualitative representation and processing of spatial knowledge, have been developed in numerous application domains. In this relation-based structure, the symbolic spatial index, which applies several different ideas in qualitative spatial knowledge representation. The set of spatial relations that is explicitly represented in a symbolic spatial index, its modeling space, is determined by the choice of representative points.

Some common words found in the essay are:
LINE Guting, Current DBMSs, Query Lanuage, Baumann Kohler, Papadias Sellis, GB Storage, Pixel Layer, Abstract Spacial, BLANK BAND5, GIS Various, spatial data, data model, query language, database system, dbms data, dbms data model, * spatial, spatial index, raster data, data types, medical applications, multidimensional discrete data, baumann kohler 1989, spatial data type, object type definition,
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Approximate Pages = 9 (250 words per page double spaced)