PENYUSUNAN 10 KELOMPOK BAHAN VALIDASI SILANG PADA KASUS 197 TITIK CURAH HUJAN DI JAWA TIMUR
Keywords:
cross validation, voronoi polygon, separation methodAbstract
In order having spatial information of some environmental parameter, it is important to decide the best interpolation method. A problem then exist because there are so many spatial intepolation methods. For deciding the most suitable method, cross validation can be the alternative. Interpolation method is an important aspect for monthly rainfall analysis. In the case spacial interpolation for 197 observation points of East Java rainfall, cross validation can be done by removing ten percent alternately. Cross validation material arrangement is important to be improved for avoiding too gathered or having direct border between removed points. The aim of this study is arranging cross validation material and test its reliability. Longitude and latittude coordinate data from 197 rainfall observation points in East Java is got from Malang Climatological Station. Rank of data is used as arrangement basis. From ten cross validation group, seven (three) will have twenty (nineteen) removed data. The removed data from first (tenth) group are data whose last digit number of one (zero). Three approach is used for making the rank: only coordinate, clustering, and separation. Clustering uses euclidean distance complete linkage with cluster variation 98, 65, and 49. Separaion method is done by dividing the points to 20 (5x4) box. To understand the best distribution, two approach is used, no nearest neighbourhood and more distant. Visual analysis assisted with voronoi polygon, box plot, and histogram indices is used. Two indices (SR and IK) is developed for measuring distribution shifting. Separation method shows the most suitable result. By adding ten modifications, cross validation material which can be used as interpolation method comparison test is arranged.
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