A
Abubakr A. A. Al-sharif
Researcher at Universiti Putra Malaysia
Publications - 14
Citations - 650
Abubakr A. A. Al-sharif is an academic researcher from Universiti Putra Malaysia. The author has contributed to research in topics: Urban sprawl & Urban planning. The author has an hindex of 8, co-authored 14 publications receiving 498 citations.
Papers
More filters
Journal ArticleDOI
Monitoring and predicting land use change in Tripoli Metropolitan City using an integrated Markov chain and cellular automata models in GIS
TL;DR: In this paper, an integrated model of Markov chain and cellular automata models was applied to simulate urban land use changes and to predict their spatial patterns in Tripoli metropolitan area, Libya.
Journal ArticleDOI
Modelling urban growth evolution and land-use changes using GIS based cellular automata and SLEUTH models: the case of Sana’a metropolitan city, Yemen
TL;DR: In this article, two models such as cellular automata (CA) and the SLEUTH models are applied in a geographical information system (GIS) to simulate and predict the urban growth and land use change for the City of Sana'a (Yemen) for the period 2004-2020.
Journal ArticleDOI
Urban Sprawl Analysis of Tripoli Metropolitan City (Libya) Using Remote Sensing Data and Multivariate Logistic Regression Model
TL;DR: In this article, a logistic regression model is used in modeling urban expansion patterns, and in investigating the relationship between urban sprawl and various driving forces, such as distance to main active economic centers, to a central business district, to the nearest urbanized area, to educational areas, to roads, and to urbanized areas; easting and northing coordinates; slope; restricted area; and population density.
Journal ArticleDOI
A novel approach for predicting the spatial patterns of urban expansion by combining the chi-squared automatic integration detection decision tree, Markov chain and cellular automata models in GIS
TL;DR: In this article, the authors presented a hybrid model that integrates the chi-squared automatic integration detection decision tree (CHAID-DT), Markov chain (MC) and cellular automata (CA) models to analyse, simulate and predict future urban expansions in Tripoli, Libya in 2020 and 2025.
Journal ArticleDOI
Spatio-temporal prediction of urban expansion using bivariate statistical models: assessment of the efficacy of evidential belief functions and frequency ratio models
TL;DR: In this article, probability-based Evidential Belief Functions (EBF) and Frequency Ratio (FR) models were employed to simulate and to predict the urban expansion probability map of the metropolitan area in Tripoli, Libya.