Simulating Urban Growth Using the Cellular Automata Markov Chain Model in the Context of Spatiotemporal Influences for Salem and Its Peripherals, India

Simulating Urban Growth Using the Cellular Automata Markov Chain Model in the Context of Spatiotemporal Influences for Salem and Its Peripherals, India

Urbanization is one of the biggest challenges for developing countries, and predicting urban growth can help planners and policymakers understand how spatial growth patterns interact. A study was conducted to investigate the spatiotemporal dynamics of land use/land cover changes in Salem and its sur...

Full description

Bibliographic Details
Main Authors: Linda Theres, Selvakumar Radhakrishnan, Abdul Rahman
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Earth
Subjects:
urbanization
geospatial
support vector machine
transition matrix
validation
sustainability
Online Access:https://www.mdpi.com/2673-4834/4/2/16

Internet

https://www.mdpi.com/2673-4834/4/2/16

Similar Items