02221ntm a2200289 a 4500 vtls000092315 KUKTEM 20251117113301.0 151130t2015 my da f abm 000 0 eng d THE0000795(Local) 201905161423 nazirah 201711301612 fateeha 201512011421 asma 201511301458 asma UMP FKASA .Y379 2015 r Bc. Yap, Yee Von Estimation and validation of wind speed by using spatial interpolation / Yap Yee Von Kuantan, Pahang : UMP, 2015 xiii, 48 p. : ill. (some col.) ; 30 cm. + 1 CD ROM Faculty of Civil Engineering and Earth Resources Project Paper (Bachelors of Civil Engineering) -- Universiti Malaysia Pahang – 2015 Bibliography : p. 40-41 The increasing of wind hazard damages in Malaysia shows that wind speed has played an important role in weather forecast. Interpolation method is vital when estimating wind speed especially for a location which do not has a weather forecast station. In this study, three methods of spatial interpolation which are Inverse Distance Weighting (IDW), Kriging and Spline were compared to determine their suitability for estimating wind speed. All the methods are evaluated by using standard error regression and correlation coefficient analysis. Based on the results obtained, it was shown that Kriging is more suitable when estimating wind speed for a study point within an enclosed area while IDW and Spline are more suitable for study point between two locations. Therefore, the suitability of different spatial interpolation method is varies for different arrangements of location. 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 Dissertations Universities and Colleges Dissertations Theses http://ecollib.ump.edu.my/id/eprint/25894 Access in library only 0 0 0 1 10000 10000 2019-09-04 0 FKASA .Y379 2015 r Bc. 0000104317 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 10000 10000 2019-09-04 0 CD 9342 | FKASA .Y379 2015 r Bc. 0000104318 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 6068 6074 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5000*5020*5040*5200*6100*6500*6501*8560*9992