Modeling the Land Use Change Process on the South Coast of the Caspian Sea Using Logistic Regression and Artificial Neural Network
| Autor: | Ali Majnouni-Toutakhane |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Ecology
Markov chain Artificial neural network Calibration (statistics) Strategy and Management Ecological Modeling Computer Science::Neural and Evolutionary Computation Management Monitoring Policy and Law Logistic regression Perceptron Regression Physics::Geophysics Urban Studies Accounting Climatology Environmental science Satellite Land use land-use change and forestry |
| Zdroj: | Journal of Environmental Accounting and Management. 8:111-123 |
| ISSN: | 2325-6206 2325-6192 |
| Popis: | The study aimed to model earth land use changing using logistic regression and multi-layer Perceptron artificial neural network in the South Coast of the Caspian Sea in Iran. Satellite Landsat images belonging to 1993, 2000, 2008 and 2017 has used. Modeling the potential of earth covering change was conducted using logistic regression and multi-layer Perceptron artificial neural network. Markov chain and a hard prediction model was used to forecast earth covering changes from 1993-2017 calibration method. Kappa coefficient results showed that regression (0.8657) has more accuracy compared to a multi-layer Percept. |
| Databáze: | OpenAIRE |
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