Boosted Regression Tree for Modeling Evaporation Piche Using Other Climatic Factors Over Ilorin

Ezekiel, I.D. and Alabi, N. O (2018) Boosted Regression Tree for Modeling Evaporation Piche Using Other Climatic Factors Over Ilorin. Academic Journal of Applied Mathematical Sciences, 4 (9). pp. 98-106. ISSN 2415-2188

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Abstract

Evaporation is one of the climatic/meteorological factors influenced by causes of climate change. Interest in the topic of climate change has been growing over the last three decades. The threat it poses cannot be overemphasized particularly in developing economies largely due to the connection it has with national development issues. We present a regression tree grown using recursive binary splitting, cost complexity pruning and boosting to study the relationship between evaporation piche and other climatic factors such as relative humidity, solar radiation, sunshine hours, wind speed, temperature and rainfall over the city of Ilorin in Nigeria. These factors are generally seen to change with rising climatic changes in a place. Analysis of the fitted tree reveals that relative humidity, temperature and rainfall are the most important meteorological factors affecting the level of evaporation piche in the city of Ilorin.

Item Type:	Article
Subjects:	Q Science > Q Science (General) Q Science > QA Mathematics
Divisions:	Faculty of Engineering, Science and Mathematics > School of Mathematics
Depositing User:	Mr Taiwo Egbeyemi
Date Deposited:	09 Jun 2020 16:19
Last Modified:	09 Jun 2020 16:19
URI:	http://eprints.federalpolyilaro.edu.ng/id/eprint/394

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