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Cayetano, CB, Creencia, LA, Sullivan, E, Clewley, D and Miller, PI 2023 Multi-spatiotemporal analysis of changes in mangrove forests in Palawan, Philippines: predicting future trends using a support vector machine algorithm and the Markov chain model. UCL Open Environment, 5. 1-29. https://doi.org/10.14324/111.444/ucloe.000057
Cayetano, CB, Creencia, LA, Sullivan, E, Clewley, D and Miller, PI 2023 Multi-spatiotemporal analysis of changes in mangrove forests in Palawan, Philippines: predicting future trends using a support vector machine algorithm and the Markov chain model. UCL Open Environment, 5. 1-29. https://doi.org/10.14324/111.444/ucloe.000057
Cayetano, CB, Creencia, LA, Sullivan, E, Clewley, D and Miller, PI 2023 Multi-spatiotemporal analysis of changes in mangrove forests in Palawan, Philippines: predicting future trends using a support vector machine algorithm and the Markov chain model. UCL Open Environment, 5. 1-29. https://doi.org/10.14324/111.444/ucloe.000057
Cayetano, CB, Creencia, LA, Sullivan, E, Clewley, D and Miller, PI 2023 Multi-spatiotemporal analysis of changes in mangrove forests in Palawan, Philippines: predicting future trends using a support vector machine algorithm and the Markov chain model. UCL Open Environment, 5. 1-29. https://doi.org/10.14324/111.444/ucloe.000057
Cayetano, CB, Creencia, LA, Sullivan, E, Clewley, D and Miller, PI 2023 Multi-spatiotemporal analysis of changes in mangrove forests in Palawan, Philippines: predicting future trends using a support vector machine algorithm and the Markov chain model. UCL Open Environment, 5. 1-29. https://doi.org/10.14324/111.444/ucloe.000057
Cayetano, CB, Creencia, LA, Sullivan, E, Clewley, D and Miller, PI 2023 Multi-spatiotemporal analysis of changes in mangrove forests in Palawan, Philippines: predicting future trends using a support vector machine algorithm and the Markov chain model. UCL Open Environment, 5. 1-29. https://doi.org/10.14324/111.444/ucloe.000057
Cayetano, CB, Creencia, LA, Sullivan, E, Clewley, D and Miller, PI 2023 Multi-spatiotemporal analysis of changes in mangrove forests in Palawan, Philippines: predicting future trends using a support vector machine algorithm and the Markov chain model. UCL Open Environment, 5. 1-29. https://doi.org/10.14324/111.444/ucloe.000057