Abstract
Rapid urbanization in Malaysia has led to increased demand for services and infrastructure, often resulting in unmanaged data and inefficiencies and services that underpin the urban population's way of life and its commercial endeavors. In order to serve the demands of its metropolitan population, Malaysia, like many other nations, has a well-established network of urban expansion. However, due to high demand but unmanaged data, there are often issues with the inability to provide efficient and quality services. This study aims to monitor urban expansions development using the GIS approach. The objectives of this study are to visualize the GIS spatial data for urban expansions and to analyze the management and performance of urban expansions. In this study several data are used such as population data, land use and landsat image data. To accomplish the objectives, the software will be used are ERDAS IMAGINE and QGIS. The results shows that Shah Alam has the most increases population and had urban expansion changes in the gap year 2018 and 2020. Population really give impact to the urbanization happen. It can show better data for management practices and addressing the issue of unmanaged data. This can lead to more organized and reliable data for decision-making.
Metadata
Item Type: | Student Project |
---|---|
Creators: | Creators Email / ID Num. Ahmad Ariffin, Putri Nurasikin UNSPECIFIED |
Contributors: | Contribution Name Email / ID Num. UNSPECIFIED Talib, Noorfatekah UNSPECIFIED |
Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > Geographic information systems |
Divisions: | Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Architecture, Planning and Surveying |
Programme: | Bachelor of Surveying Science and Geomatics (Honours) |
Keywords: | Urban expansion monitoring, Selangor, GIS approach |
Date: | July 2024 |
URI: | https://ir.uitm.edu.my/id/eprint/109432 |
Download
![[thumbnail of 109432.pdf]](https://ir.uitm.edu.my/style/images/fileicons/text.png)
109432.pdf
Download (268kB)
Digital Copy
Physical Copy
ID Number
109432
Indexing

