Open AccessPredicting the future growth depending on GIS and IDRISI program, city of Najaf-Iraq
Author(s) -
Amna Ali,
A. Kh. Amany,
Mustafa Abdul Jalil
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/881/1/012031
Subject(s) - computer science , geographic information system , cellular automaton , land use , software , land use, land use change and forestry , markov chain , scale (ratio) , markov model , process (computing) , environmental resource management , geography , remote sensing , environmental science , cartography , artificial intelligence , civil engineering , machine learning , engineering , programming language , operating system
This study aims to employ modern spatial simulation models to predict the future growth of Al-Najaf city for the year 2036 by studying the change in land use for the time period (1986-2016) because of its importance in shaping future policy for the planning process and decision-making process and ensuring a sustainable urban future, using Geographical information software programs and remote sensing (GIS, IDRISI Selva) as they are appropriate tools for exploring spatial temporal changes from the local level to the global scale. The application of the Markov chain model, which is a popular model that calculates the probability of future change based on the past, and the Cellular Automata (CA) model determines the spatial location of the change. CA-Markov is known as a more effective way to model simulation of temporal and spatial change. Space images have been relied upon by applying models for the information they provide on the reality of the state of land uses, which can help in understanding the engines and dynamics of land transformation and forecasting future economic and environmental impacts.