The classification of urban growth pattern using topological relation border length algorithm: An experimental study
Expansion; Infill drilling; Topology; Boundary analysis; Classification results; Classification rules; Topological relations; Urban growth patterns; Urban regions; Urban growth
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| Format: | Book Chapter |
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Springer Science and Business Media Deutschland GmbH
2023
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| _version_ | 1833350263091494912 |
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| author | Ghani N.L.A. Abidin S.Z.Z. |
| author2 | 56940219600 |
| author_facet | 56940219600 Ghani N.L.A. Abidin S.Z.Z. |
| author_sort | Ghani N.L.A. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Expansion; Infill drilling; Topology; Boundary analysis; Classification results; Classification rules; Topological relations; Urban growth patterns; Urban regions; Urban growth |
| format | Book Chapter |
| id | my.uniten.dspace-23938 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| publisher | Springer Science and Business Media Deutschland GmbH |
| record_format | dspace |
| spelling | my.uniten.dspace-239382023-05-29T14:53:19Z The classification of urban growth pattern using topological relation border length algorithm: An experimental study Ghani N.L.A. Abidin S.Z.Z. 56940219600 25824609700 Expansion; Infill drilling; Topology; Boundary analysis; Classification results; Classification rules; Topological relations; Urban growth patterns; Urban regions; Urban growth Generally, the pattern of urban growth is classified as either infill growth, expansion growth, or outlying growth. Topological relation length algorithm determines the urban growth pattern based on the common boundary analysis of the new and old urban region. However, literatures are concerned that the existing algorithm may produce incorrect classification result as infill growth are often confused as either expansion or outlying growth. This paper aims to investigate the effect of existing topological relation border length algorithm on the classification results and proposed an improvement to the algorithm with new classification rule. Results showed that the existing algorithm is only able to classify outlying growth while the improved algorithm has successfully identified all three urban growth patterns. � Springer International Publishing AG 2018. Final 2023-05-29T06:53:19Z 2023-05-29T06:53:19Z 2018 Book Chapter 10.1007/978-3-319-59427-9_57 2-s2.0-85090368152 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090368152&doi=10.1007%2f978-3-319-59427-9_57&partnerID=40&md5=ec69bedf1347b828439e602efa1e703f https://irepository.uniten.edu.my/handle/123456789/23938 5 545 553 Springer Science and Business Media Deutschland GmbH Scopus |
| spellingShingle | Ghani N.L.A. Abidin S.Z.Z. The classification of urban growth pattern using topological relation border length algorithm: An experimental study |
| title | The classification of urban growth pattern using topological relation border length algorithm: An experimental study |
| title_full | The classification of urban growth pattern using topological relation border length algorithm: An experimental study |
| title_fullStr | The classification of urban growth pattern using topological relation border length algorithm: An experimental study |
| title_full_unstemmed | The classification of urban growth pattern using topological relation border length algorithm: An experimental study |
| title_short | The classification of urban growth pattern using topological relation border length algorithm: An experimental study |
| title_sort | classification of urban growth pattern using topological relation border length algorithm: an experimental study |
| url_provider | http://dspace.uniten.edu.my/ |