A framework of local geospatial data infrastructure for sustainable urban development

• Main Authors: Ariffin, Azman, Ibrahim, Nabila, Desa, Ghazali, Ujang, Uznir, Mohd. Ali, Hishamuddin, Mukhelas, Haziq Kamal, Malik, Tasaduq Abbas
• Format: Article
• Language: English
• Published: Penerbit UTM 2014
• Subjects: HD Industries. Land use. Labor
• Online Access: http://eprints.utm.my/id/eprint/51486/1/AzmanAriffin2013_Aframeworkoflocal.pdf; http://eprints.utm.my/id/eprint/51486/; http://dx.doi.org/10.11113/jt.v71.3834

This paper addresses the need to develop a Local Geospatial Data Infrastructure (LGDI) for sustainable urban development. This research will highlight the effective and efficient framework for the development of local infrastructure. This paper presents a framework (a combination of domain based and goal based frameworks) for developing a Local Geospatial Data Infrastructure. The basis of this research is on a case study conducted in a Malaysian city. The main focus of the case study was on measuring and assessing sustainability. Six conceptual frameworks were produced based on 6 key dimensions of sustainability. The developed framework consists of 6 conceptual data models and 6 conceptual data structures. It was concluded that 30 spatial data layers are needed of which 12 data layers are categorized as point shape, 17 data layers are categorized as polygon shape and 1 data layer as line shape category