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The best interpolation method for wind speed by using GIS / Siti Nur’aisyah Jamalludin

By:

Siti Nur’aisyah Jamalludin [author.]

Material type: Text

text
text

Media type:

unmediated
computer

Carrier type:

volume
computer disc

ISBN:

THE0008779(Local)

Subject(s):

Dissertation note: Project Paper (Bachelors of Civil Engineering) -- Universiti Malaysia Pahang – 2019 Abstract: The wind speed had played the very vital role in weather forest because wind hazard damages increased every year. When estimating the wind speed is important to use the interpolation method especially the location do not has a weather forest or meteorological stations. In this research, the three different method of spatial interpolation which was Inverse Distance Weighting (IDW), Spline and Kriging were compared to determine the suitability for estimating wind speed. Therefore, the all methods were evaluated with the regression analysis and correlation coefficient analysis. Based on the results obtained, Kriging was shown the more suitable to estimate the wind speed by followed the other methods which are IDW and Spline. Future studies with more data collected, denser sample points and different cases can be carried out to obtain a more accurate result.

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Holdings ( 2 )
Title notes ( 4 )

Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Final Year Report	UMPLIB GAMBANG Reference	Reference	FKASA .A373 2019 r Bc. (Browse shelf(Opens below))	1	Not for loan		T000000852
Final Year Report	UMPLIB GAMBANG	Reference	CD12653 (Browse shelf(Opens below))	1	Not for loan		T000000853

Faculty of Civil Engineering and Earth Resources

Project Paper (Bachelors of Civil Engineering) -- Universiti Malaysia Pahang – 2019

Includes bibliographical references

The wind speed had played the very vital role in weather forest because wind hazard damages increased every year. When estimating the wind speed is important to use the interpolation method especially the location do not has a weather forest or meteorological stations. In this research, the three different method of spatial interpolation which was Inverse Distance Weighting (IDW), Spline and Kriging were compared to determine the suitability for estimating wind speed. Therefore, the all methods were evaluated with the regression analysis and correlation coefficient analysis. Based on the results obtained, Kriging was shown the more suitable to estimate the wind speed by followed the other methods which are IDW and Spline. Future studies with more data collected, denser sample points and different cases can be carried out to obtain a more accurate result.