Modelling geographic phenomena at multiple levels of detail: A model generalisation approach based on aggregation
dc.contributor.advisor
Hulton, Nicholas
en
dc.contributor.advisor
Regnauld, Nicolas
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dc.contributor.author
Chaudhry, Omair
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dc.date.accessioned
2008-07-21T13:30:10Z
dc.date.available
2008-07-21T13:30:10Z
dc.date.issued
2008
dc.description.abstract
Considerable interest remains in capturing once geographical information at the fine
scale, and from this, automatically deriving information at various levels of detail
and scale via the process of map generalisation. This research aims to develop a
methodology for transformation of geographic phenomena at a high level of detail
directly into geographic phenomena at higher levels of abstraction. Intuitive and
meaningful interpretation of geographical phenomena requires their representation at
multiple levels of detail. This is due to the scale dependent nature of their properties.
Prior to the cartographic portrayal of that information, model generalisation is
required in order to derive higher order phenomena typically associated with the
smaller scales. This research presents a model generalisation approach able to
support the derivation of phenomena typically present at 1:250,000 scale mapping,
directly from a large scale topographic database (1:1250/1:2500/1:10,000). Such a
transformation involves creation of higher order or composite objects, such as
settlement, forest, hills and ranges, from lower order or component objects, such as
buildings, trees, streets, and vegetation, in the source database. In order to perform
this transformation it is important to model the meaning and relationships among
source database objects rather than to consider the object in terms of their geometric
primitives (points, lines and polygons). This research focuses on two types of
relationships: taxonomic and partonomic. These relationships provide different but
complimentary strategies for transformation of source database objects into required
target database objects. The proposed methodology highlights the importance of
partonomic relations for transformation of spatial databases over large changes in
levels of detail. The proposed approach involves identification of these relationships
and then utilising these relationships to create higher order objects. The utility of the
results obtained, via the implementation of the proposed methodology, is
demonstrated using spatial analysis techniques and the creation of ‘links’ between
objects at different representations needed for multiple representation databases. The
output database can then act as input to cartographic generalisation in order to create
maps (digital or paper). The results are evaluated using manually generalised
datasets.
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dc.format.mimetype
application/pdf
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application/pdf
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application/pdf
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application/pdf
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application/pdf
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application/pdf
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dc.identifier.uri
http://hdl.handle.net/1842/2385
dc.language.iso
en
dc.subject
Geography
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dc.subject
GIS
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dc.subject
Geographical Information Systems
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dc.title
Modelling geographic phenomena at multiple levels of detail: A model generalisation approach based on aggregation
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dc.type
Thesis or Dissertation
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dc.type.qualificationlevel
Doctoral
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dc.type.qualificationname
PhD Doctor of Philosophy
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- Appendix 2
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- Appendix 1
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