02175ntm a2200373 i 4500 0 0 lcc 0 1 REF 10000 10000 REF 2020-07-17 0 FKASA .A373 2019 r Bc. T000000852 2020-10-12 00:00:00 1 2020-07-17 PSM 0 0 lcc 0 0 REF 10000 10000 2020-07-17 0 CD12653 T000000853 2021-03-11 00:00:00 1 2020-07-17 PSM 92670 92676 MY-KuUP 20251125105600.0 t||||fr|||| 000 0 ta 200717t20192019my ab||fram|| 000 0 eng d THE0008779(Local) hardback UMP eng UMP rda FKASA .A373 2019 r Bc. Siti Nur’aisyah Jamalludin, author. The best interpolation method for wind speed by using GIS / Siti Nur’aisyah Jamalludin Kuantan, Pahang : UMP, 2019 © 2019 xi, 55 pages : illustrations, maps (some color) ; 30 cm. + 1 CD-ROM text rdacontent text rdacontent unmediated rdamedia computer rdamedia volume rdacarrier computer disc rdacarrier text file PDF rda 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. Faculty of Civil Engineering and Earth Resources Disertations Universities and colleges Disertations Theses lcc PSM