Applied Ecology and Environmental Sciences
ISSN (Print): 2328-3912 ISSN (Online): 2328-3920 Website: http://www.sciepub.com/journal/aees Editor-in-chief: Alejandro González Medina
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Applied Ecology and Environmental Sciences. 2013, 1(6), 126-132
DOI: 10.12691/aees-1-6-5
Open AccessArticle

Application of a Hybrid Cellular Automaton – Markov (CA-Markov) Model in Land-Use Change Prediction: A Case Study of Saddle Creek Drainage Basin, Florida

Praveen Subedi1, , Kabiraj Subedi2 and Bina Thapa3

1School of Forest Resources and Conservation, University of Florida, Gainesville, FL

2Department of Geography, P.N. Campus, Tribhuvan University, Nepal

3Department of Earth and Environment, Florida International University, Miami, FL

Pub. Date: December 01, 2013

Cite this paper:
Praveen Subedi, Kabiraj Subedi and Bina Thapa. Application of a Hybrid Cellular Automaton – Markov (CA-Markov) Model in Land-Use Change Prediction: A Case Study of Saddle Creek Drainage Basin, Florida. Applied Ecology and Environmental Sciences. 2013; 1(6):126-132. doi: 10.12691/aees-1-6-5

Abstract

We utilized spatio-temporal data to investigate the applicability of a hybrid (CA- Markov) model in predicting land-use change in Saddle Creek drainage basin in Florida. Agreement statistics (Kappa) between the actual land-use and that predicted by our model showed an acceptable level of prediction accuracy. This demonstrated the validity of the model in land-use change prediction in our study. Our model predicted a notable increase in the urban areas (47.3 % to 49.4%) and transportation facilities (3.7% to 5 %) from 2006 to 2015. On the contrary, agricultural areas are predicted to decline from 14.4 % to 12.3 % between these periods.

Keywords:
CA-Markov model land-use change prediction accuracy

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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