AN APPLICATION OF REGRESSION ANALYSIS FOR MODELLING OF THE FOREST FIRES
Tatiana S. Ilkova, Mitko M. Petrov
Pages: 444-455
Published: 1 Jan 2013
Views: 473
Downloads: 50
Abstract: 20 years of environmental degradation, people gradually get used to the deterioration of nature and actually accept new conditions such as annual flood and drought. From an ecological point of view, fire is considered as a non- biotic factor which, in general, works within the ecosystem to decompose, recycle and select. For this aim we developed a modified method of regression analysis for modelling of the forest fires in the National Parks of Thailand and dynamic of the rate of spread of the Sundance fire.The method is distinguished from the conventional regression analysis of that the factors included in the regression dependence are time functions. Two type functions are tested: polynomial: n n x (t) at and periodical from the type: x (t) Asin St x / w . The investigations show i ¦ ii i c i 0 better results the periodical functions give. The comparison is made on Fisher function and 2 correlation coefficient R for each of the investigated functions. For aim of the regression analysis, an algorithm and program are developed for the experimental data processing. The results show the experimental dada are stationary and it can accepted they have normal distribution.
Keywords: regression analysis, forest fires, national parks of thailand, sundance fire
Cite this article: Tatiana S. Ilkova, Mitko M. Petrov. AN APPLICATION OF REGRESSION ANALYSIS FOR MODELLING OF THE FOREST FIRES. Journal of International Scientific Publications: Materials, Methods & Technologies 7, 444-455 (2013). https://www.scientific-publications.net/en/article/1003074/
Back to the contents of the volume
© 2026 The Author(s). This is an open access article distributed under the terms of the
Creative Commons Attribution License https://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This permission does not cover any third party copyrighted material which may appear in the work requested.
Disclaimer: The Publisher and/or the editor(s) are not responsible for the statements, opinions, and data contained in any published works. These are solely the views of the individual author(s) and contributor(s). The Publisher and/or the editor(s) disclaim any liability for injury to individuals or property arising from the ideas, methods, instructions, or products mentioned in the content.
