PENGARUH DATA NON-STATIONER TERHADAP APLIKASI GEOSTATISTIKA DALAM KEGIATAN ESTIMASI DENGAN METODA ORDINARY KRIGING
Abstract
90-100%. Besarnya error yang dihasilkan mempengaruhi optimasi kriging dalam kegiatan interpolasi data. Hasil estimasi kriging kohesi (c) batulempung menunjukkan interpolasi yang dilakukan kriging tidak mampu mengidentifikasi variabilitas data yang dimiliki sehingga hasil estimasi hanya berada pada nilai rata-rata kohesi (c) batulempung
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Bohling, G. (2005): Introduction to geostatistics and variogram analysis, Earth, 1-20.
Cressie, N.A.C 1993. Statistics For Spatial Data. John Wiley and Sons, Inc. New York
Deutsch, J. (2014): Experimental variogram tolerance parameters,http://www.geostatistics lesons. com/lessons/variogramparameters.
Deutsch, C.V., 2002. Geostatistical reservoir modeling 1st ed. Oxford University Press. New York
Isaaks, E.H., dan Srivastaya, R.M. (1989): An introduction to applied geostatistics, Oxford University Press: New York Kim, Y.C. 1988. Advanced Geostatistics For Highly Skewed Data, Department of
Mining and Geological Engineering, Arizona University.
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