Predicting the Effects of Urban Development on Land Transition and Spatial Patterns of Land Use in Western Peninsular Malaysia

Abstract

Analyzing the effects of urban development on dynamic and spatial patterns of land use is vital to establish more efficient land management policies. However, in Malaysia, such effects are usually explained without quantitative metrics. This research quantified the future impact of urban expansion on the dynamic of land use by developing the area-independent dynamic metric. The metric was calculated based on summarizing the cross tabulation matrices of change in an urbanizing area at west coast of Peninsular Malaysia. Another two land use measures involving vulnerability to gain and Appl. Spatial Analysis vulnerability to loss were used to evaluate tendency of land classes to transition. The effects of urban development on spatial patterns of land use were quantified using two landscape metrics involving the Edge Density (ED) and Area-Weighted Mean Patch Fractal Dimension (AWMPFD). Analyses were carried out on a set of spatial land use data including observed 1997, 2002, and 2008, as well as a simulated near future land change for the year 2020 under a spatio-temporal land use model. Results showed that urban development practices would influence the dynamic of land transition in the near future. Urban growth would experience a fast-growing dynamic and high vulnerability to gain than loss while the dynamic and vulnerability of forest/wetland covers would decrease in terms of loss. Moreover, agriculture practices tend to be hindered by further urban development in the coming years. Another important finding was that urban development process would influence the spatial patterns of land use in the near future.

Extracting an Urban Growth Model’s Land Cover Layer from Spatio-Temporal Cadastral Database and Simulation Application

“…The main data of UGSMs are multitemporal land cover layers and are generally obtained from satellite imagery [4,[22][23][24][25]. Data such as land cover, slope, transportation, plan decisions and constraints, administrative borders, lithology and structural features, and socio-economic data, etc., are generally used in CA-based studies in which urban growth is monitored.…”

“…Pixel sizes vary according to the purpose of the project between 10 m and 500 m [19]. The main data of UGSM land cover were generally obtained from satellite imagery or land use/land cover (LULC) databases [4,[22][23][24], whereas cadastral data are frequently used in the analysis of the accuracy of land cover data generated from satellite images [25]. However, in this study, LULC were generated from land title deeds and parcels in the Turkish cadastral registration system to generate land cover classes precisely.…”

Measuring and Predicting Urban Expansion in the Angkor Region of Cambodia

“…Cellular Automata (CA) Model Cellular automata (CA) are spatially dynamic models frequently used for land-use and land-cover change studies [34,35]. In a CA model, the transition of a cell from one land-cover to another depends on the state of the neighborhood cells [36]. The CA model has an open structure and can be integrated with other models to simulate and predict urban growth patterns in GIS [37]; thus, the CA model has a high spatial resolution and computational efficiency [38].…”

Local Food Potentials and Agroecology in Yogyakarta Special Province, Indonesia

“…A cross-tabulation matrix is a method that usually used to analyse land use change (Cuba, 2015;Nourqolipour et al, 2016;Pontius & Petrova, 2010;Pontius, Shusas, & McEachern, 2004). Initially, for the land use change analysis, a cross-tabulation matrix is set the two-time interval (Batisani & Yarnal, 2009;Pontius et al, 2004;Versace, Ierodiaconou, Stagnitti, & Hamilton, 2008), using two variables in the row and column in two different periods of land use categories (Pontius et al, 2004;Wang, Cheng, & Chen, 2011).…”