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Published byBernard Moore Modified over 9 years ago
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Prepared by Abzamiyeva Laura Candidate of the department of KKGU named after Al-Farabi Kizilorda, Kazakstan 2012
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Object Introduction of GIS Data modeling
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“GIS is a computer-based system that provides the following four sets of capabilities to handle geo-referenced data: 1. Input 2. Data management (storage and retrieval) 3. Manipulation and analysis 4. Output.” (Aronoff, 1989) What is GIS ?
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GIS Functional Modules Database Query and Analysis Output and Visualization Data Input
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→ https://www.e-education.psu.edu/natureofgeoinfo/book/export/html/1604https://www.e-education.psu.edu/natureofgeoinfo/book/export/html/1604 What does GIS? GIS deals with objects, their attributes, and the relationships among the objects. The objects are stored in a database using geometric primitives (volumes, areas, lines, points), their attributes and the relationships between them (topology).
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Characteristics of Geographic Data l Spatial data: features orientation shape, size & structure l Non-Spatial data: Information about various attributes like area, length & population
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l spatial reference l attributes l spatial relationships l temporal component Characteristics of Spatial Data where? what? how? when?
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Data Model Data model represents the linkages between the real world domain of geographic data and the computer or GIS representation of these features. It helps (Marble, 1982) To organize a systematic file structureTo organize a systematic file structure Abstracts the real world into properties which are perceived by a specific applicationAbstracts the real world into properties which are perceived by a specific application
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How to represent the really data? ?
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GIS structures as representations of reality Two approaches have been widely adopted for representing the spatial & attribute information within a GIS A composite model (raster) A composite model (raster) Geo-relational model (vector) Geo-relational model (vector)
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Implementation Models Field View l tessellation (raster, grid) – simple data structure – difficult to represent topology – suitable for image processing functions Object View vector (topological vector model) efficient representation of topology complex data structure certain functions are difficult to implement
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Real (and Virtual) World Models 10100100111 Maps Databases Visualization Representation Generalization Storage
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Best known conventional model Two-dimensional Static Visualization as their major function Small-scale = less detail, larger area (e.g. 1:1.000.000) Large-scale = more detail, smaller area (e.g. 1:10.000) Generalization (scale-dependant) Maps
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Databases l Store representations of spatial phenomena in the real world l Data models are languages used to define a database l The complete database definition is the database schema l Spatial databases are scaleless and seamless
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spatial data models l two fundamental approaches: l raster model l vector model
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a raster view of the world... Tessellation Raster Features Sampling
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raster model The entity information is explicitly recorded for a basic data unit (cell, grid or pixel)
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vector model In a vector-based GIS data are handled as: PointsX,Y coordinate pair + label Linesseries of points Areasline(s) forming their boundary (series of polygons) line feature area feature point feature
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vector model
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layers in a raster model Layer 1 Layer 2
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Reference: → http://www-http://www- → MapServer MapServer → OpenLayers OpenLayers
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THANK YOU !
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