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GEM 3390

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... and vector data structures is the Relational Database Management System (RDBMS) ... Identifying objects is often difficult, in particular continuous surfaces ... – PowerPoint PPT presentation

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Title: GEM 3390


1
Lecture 15 Content
  • Geographic Information Systems (GIS)
  • Data Structures and Data Management
  • (Continued)

2
(No Transcript)
3
  • Choice of data structures
  • Depends upon
  • Intended use of data
  • Accuracy of the intended GIS application
  • Project cost of the intended GIS application
  • Various algorithms exists to convert between data
    structures
  • Vector to raster ? rasterization
  • Raster to vector ? vectorization

4
  • Common database structure used to store and
    manage raster and vector data structures is the
    Relational Database Management System (RDBMS)
  • Main function is to link the geometric
    representations to attributes
  • Commercial RDBMS are INFO, ORACLE, INGRES,
    INFORMIX, DBaseIV, and so on

5
  • Topology
  • RDBMS must be able to define the topology of
    geometric representations
  • Topology is helps to define the geometric
    representation using the neighboring components
    of other geometric representations.
  • That is, the RDBMS will be able to use
    information such as which polygon is to the right
    and left, and the from and to end points of
    lines

6
  • The georelational model have the following
    advantages
  • Attribute data need not be stored directly with
    spatial database but can be access via a network
  • Attribute data can be expanded, accessed,
    deleted, updated, without having to modify the
    spatial database
  • Commercial RDBMS ensure that new developments are
    incorporated as a standard
  • Data structures may be defined in standard ways
    using data dictionaries
  • Keeping attribute data in RDBMS does not
    interfere with the GIS layers
  • Attribute in RDBMS can be linked to spatial units
    that may be represented in a wide variety of ways

7
  • Types of RDBMS
  • Arc-Node
  • Most common and applied to vector data structure
  • Each spatial unit has a unique ID
  • Compact raster
  • Makes use of sets of pixels which has unique IDs
  • Used in the raster data structures

8
  • Quadtree RDBMS
  • Allow data to be represented at various levels of
    spatial aggregation
  • Discussed earlier lecture
  • Object RDBMS
  • Object oriented (OO) approach
  • Geometric and attribute data are stored in
    relational tables
  • OO programming provide the functionality to
    interface the data

9
  • Relational GIS

10
  • Object Oriented GIS

11
  • The End
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