Forecasting of selected drought indices using selected models based on the theory of decision trees – Aigerim Otarbayeva, BSc
Aigerim Otarbayeva, BSc
Master's thesis
Forecasting of selected drought indices using selected models based on the theory of decision trees
Forecasting of selected drought indices using selected models based on the theory of decision trees
Abstract:
In this thesis several drought indices, like the Standardised Precipitation Index (SPI), the Standardised Precipitation Evaporation Index (SPEI), the Standardised Soil Moisture (SSI) and the Palmer Drought Severity indices were analyzed using tree-based ensemble methods: Random Forest model and Extremeely Randomized Trees model. Tested Extremeely Randomized Trees and Random Forest models used forecasting …moreAbstract:
In this thesis several drought indices, like the Standardised Precipitation Index (SPI), the Standardised Precipitation Evaporation Index (SPEI), the Standardised Soil Moisture (SSI) and the Palmer Drought Severity indices were analyzed using tree-based ensemble methods: Random Forest model and Extremeely Randomized Trees model. Tested Extremeely Randomized Trees and Random Forest models used forecasting …more
Language used: Czech
Date on which the thesis was submitted / produced: 18. 4. 2019
Thesis defence
- Supervisor: doc. Ing. Petr Máca, Ph.D.
Citation record
ISO 690-compliant citation record:
OTARBAYEVA, Aigerim. \textit{Forecasting of selected drought indices using selected models based on the theory of decision trees}. Online. Master's thesis. Praha: Czech University of Life Sciences Prague, Faculty of Environmental Sciences. 2019. Available from: https://theses.cz/id/oa9cgd/.
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Institution archiving the thesis and making it accessible: Česká zemědělská univerzita v Praze, Fakulta životního prostředíCzech University of Life Sciences Prague
Faculty of Environmental SciencesMaster programme / field:
Landscape Engineering / Environmental Modelling
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