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Spatial and non-spatial databases enhancement for hydrological information system (HIS)

In general, Geographical Information System (GIS) has four main components, namely data input, data model, data analysis and manipulation, and data presentation. These components are vital in order to make a GIS fully functional. This report is centered upon the research activities of selecting, syn...

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Main Authors: Daman, Daut, Selamat, Harihodin, Mohd. Rahim, Mohd. Shafry
格式: Monograph
語言:English
出版: Faculty of Computer Science and Information System 2002
主題:
ZA4050 Electronic information resources
在線閱讀:http://eprints.utm.my/id/eprint/4346/1/72192.pdf
http://eprints.utm.my/id/eprint/4346/
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spelling my.utm.43462017-08-07T03:11:44Z http://eprints.utm.my/id/eprint/4346/ Spatial and non-spatial databases enhancement for hydrological information system (HIS) Daman, Daut Selamat, Harihodin Mohd. Rahim, Mohd. Shafry ZA4050 Electronic information resources In general, Geographical Information System (GIS) has four main components, namely data input, data model, data analysis and manipulation, and data presentation. These components are vital in order to make a GIS fully functional. This report is centered upon the research activities of selecting, synthesis, designing and implementing the data model components. The primary research issue is to develop a data model that have the capability of storing and managing changes in geographic features. A new perspective approach on the current data modeling is proposed in order to alleviate the current issue plaguing the GIS data management. In developing this new perspective, the feature based approach and system cube method are synthesized to produce a new data model. Consequently, the combination of these approaches resulted in the design of Double Cube Data Model, which integrates temporal information of geographic features. The Double Cube Data Model has been implemented using relational database system. After extensive testing, the Double Cube Data Model performed admirably in managing the dynamic changes of geographic features. In conclusion, temporal information is the prime importance in managing geographic data. In this report, the researcher has proved that temporal information can be integrated into a single GIS data model. Faculty of Computer Science and Information System 2002 Monograph NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/4346/1/72192.pdf Daman, Daut and Selamat, Harihodin and Mohd. Rahim, Mohd. Shafry (2002) Spatial and non-spatial databases enhancement for hydrological information system (HIS). Project Report. Faculty of Computer Science and Information System, Skudai Johor. (Unpublished)
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic ZA4050 Electronic information resources
spellingShingle ZA4050 Electronic information resources
Daman, Daut
Selamat, Harihodin
Mohd. Rahim, Mohd. Shafry
Spatial and non-spatial databases enhancement for hydrological information system (HIS)
description In general, Geographical Information System (GIS) has four main components, namely data input, data model, data analysis and manipulation, and data presentation. These components are vital in order to make a GIS fully functional. This report is centered upon the research activities of selecting, synthesis, designing and implementing the data model components. The primary research issue is to develop a data model that have the capability of storing and managing changes in geographic features. A new perspective approach on the current data modeling is proposed in order to alleviate the current issue plaguing the GIS data management. In developing this new perspective, the feature based approach and system cube method are synthesized to produce a new data model. Consequently, the combination of these approaches resulted in the design of Double Cube Data Model, which integrates temporal information of geographic features. The Double Cube Data Model has been implemented using relational database system. After extensive testing, the Double Cube Data Model performed admirably in managing the dynamic changes of geographic features. In conclusion, temporal information is the prime importance in managing geographic data. In this report, the researcher has proved that temporal information can be integrated into a single GIS data model.
format Monograph
author Daman, Daut
Selamat, Harihodin
Mohd. Rahim, Mohd. Shafry
author_facet Daman, Daut
Selamat, Harihodin
Mohd. Rahim, Mohd. Shafry
author_sort Daman, Daut
title Spatial and non-spatial databases enhancement for hydrological information system (HIS)
title_short Spatial and non-spatial databases enhancement for hydrological information system (HIS)
title_full Spatial and non-spatial databases enhancement for hydrological information system (HIS)
title_fullStr Spatial and non-spatial databases enhancement for hydrological information system (HIS)
title_full_unstemmed Spatial and non-spatial databases enhancement for hydrological information system (HIS)
title_sort spatial and non-spatial databases enhancement for hydrological information system (his)
publisher Faculty of Computer Science and Information System
publishDate 2002
url http://eprints.utm.my/id/eprint/4346/1/72192.pdf
http://eprints.utm.my/id/eprint/4346/
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score 13.250246

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