Some methods of estimating the spatial pattern point data with application ( comparative study)
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Abstract
The idea of this paper is to estimate spatial data points pattern by Inverse distance weighting, Teard surface analysis of first order and Ordinary kriging method, we calculate the mean absolute error MAE and root mean square error RMSE of these methods as standard to determine the best method to be adopted in the forecasting process, we have been using real data in this paper in the field of salinity dissolved in water wells in the province of kirkuk government , which has been obtained from the groundwater body in the Ministry of water Resources 2014 , and that all the calculations have been processed using matlab program with respect to another to methods
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References
5 - Allan A. Nielsen, “2D semivariograms,” in Proceedings of the Fourth South African Workshop on Pattern Recognition, Paul Cilliers, Ed., Simon’s Town, South Africa (1993) , 25–26 November, pp. 25–35.
6- Allan A. Nielsen “Kriging,” lecture note,Technical University of Denmark, (2004), Internet :
http://www.imm.dtu.dk/pubdb/p.php?3479.
7 - Burrough, P.A. and Mcdonnell, R.A. Principles of geographical information systems. Clarendon press, Oxford،(1998) , 346 pp.
8 - Cressie, N :”Spatial prediction and ordinary kriging. Mathematical” Geology 20, . (1988)، 405-421,
9- David J. Unwin “AN INTRODUCTION TO TREND SURFACE ANALYSIS (University of Leicester) , (1978) .
10- Krige, D .G. Some Basic Consideration in the Application of Geostatistics to the valuation of ore in south African Gold Mines , Journal of the South African Institute of Mining and Metallurgy, (1976)،
383-391.
11 - Malvic, T. & Ðurekovic, M: Application of methods: inverse distance weighting, ordinary kriging and collocated cokriging in porosity evaluation, and comparison of results on the Benièanci and Stari Gradac Fields in Croatia, Nafta (Zagreb) ,,(2003 , 54, 9, 331-340
12 -Steven, S.C. and Cressie, N A comparison of Geostatistics methodologies used to estimate snow water equivalent (Water resources bulleten). Journal of the American water resources association،(1996) ،
Vol.32,No.2,.
13 - Sheimy, N.E): “Digital Terrain Modelling”. The University of Calgary, (1999) .Available:
http://www.geomatics.ucalgary.ca/~nel
shei/lecture.htm