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JSRI 2008, 5(1): 1-18 Back to browse issues page
Sensitivity Analysis of Spatial Sampling Designs for Optimal Prediction
N. Farzaneh Kharajoo, M. Jafari Khaledi *1
1- , jafari-m@modares.ac.ir
Abstract:   (2538 Views)

In spatial statistic, the data analyzed which is correlated and this correlation is due to their locations in the studied region. Such correlation that is related to distance between observations is called spatial correlation. Usually in spatial data analysis, the prediction of the amount of uncertain quantity in arbitrary 4locations of the area is considered according to attained observations from sampling points. Thus, supposing being certain the sample size, it is necessary to select a sampling design which its observations are attained from the best prediction in mentioned points that is called spatial sampling design for prediction. In this paper, the determination of such design is considered.

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Keywords: spatial data, prediction, Gaussian random field, sampling design, sensitivity analysis, simulation
Full-Text [PDF 362 kb]   (1075 Downloads)    
Type of Study: Research | Subject: General
Received: 2016/01/20 | Accepted: 2016/01/20 | Published: 2016/01/20
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Farzaneh Kharajoo N, Jafari Khaledi M. Sensitivity Analysis of Spatial Sampling Designs for Optimal Prediction . JSRI. 2008; 5 (1) :1-18
URL: http://jsri.srtc.ac.ir/article-1-125-en.html

Volume 5, Issue 1 (9-2008) Back to browse issues page
مجله‌ی پژوهش‌های آماری ایران (علمی - پژوهشی) Journal of Statistical Research of Iran JSRI
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