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The classification of urban growth pattern using topological relation border length algorithm: An experimental study

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dc.citedby1
dc.contributor.authorGhani N.L.A.en_US
dc.contributor.authorAbidin S.Z.Z.en_US
dc.contributor.authorid56940219600en_US
dc.contributor.authorid25824609700en_US
dc.date.accessioned2023-05-29T06:53:19Z
dc.date.available2023-05-29T06:53:19Z
dc.date.issued2018
dc.descriptionExpansion; Infill drilling; Topology; Boundary analysis; Classification results; Classification rules; Topological relations; Urban growth patterns; Urban regions; Urban growthen_US
dc.description.abstractGenerally, 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.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-3-319-59427-9_57
dc.identifier.epage553
dc.identifier.scopus2-s2.0-85090368152
dc.identifier.spage545
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85090368152&doi=10.1007%2f978-3-319-59427-9_57&partnerID=40&md5=ec69bedf1347b828439e602efa1e703f
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23938
dc.identifier.volume5
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.sourceScopus
dc.sourcetitleLecture Notes on Data Engineering and Communications Technologies
dc.titleThe classification of urban growth pattern using topological relation border length algorithm: An experimental studyen_US
dc.typeBook Chapteren_US
dspace.entity.typePublication
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