Generating transition rules of Cellular Automata for urban growth prediction / Nur Laila Ab Ghani
Urban growth prediction can be simulated using digital maps. The growth of a non built area can be detected through the change of pixels in a temporal imagery data. A built area usually affects the growth of its surrounding area as similar to Cellular Automata theory. This project is mainly about ob...
Saved in:
Main Author: | Ab Ghani, Nur Laila |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2010
|
Online Access: | https://ir.uitm.edu.my/id/eprint/64103/1/64103.PDF https://ir.uitm.edu.my/id/eprint/64103/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An improved pixel-based and region-based approach for urban growth classification algorithms / Nur Laila Ab Ghani
by: Ab Ghani, Nur Laila
Published: (2015) -
The simulation and prediction of spatio - temporal urban growth trends using cellular automata models: a review
by: Aburas, Maher Milad, et al.
Published: (2016) -
An observation of cryptographic properties of 256 one-dimensional cellular automata rules
by: Jamil N., et al.
Published: (2023) -
A collision resistant cryptographic hash function based on cellular automata rules
by: Jamil, Norziana
Published: (2013) -
Urban sprawl shape description / N. Laila A. Ghani, Siti Z.Z. Abidin and N. Elaiza A. Khalid
by: A. Ghani, N. Laila, et al.
Published: (2014)