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Analysis of thrips distribution: application of spatial statistics and KrigingAuthor(s): John Aleong; Bruce L. Parker; Margaret Skinner; Diantha Howard
Source: Parker, Bruce. L.; Skinner, Margaret; Lewis, Trevor, eds. Towards Understanding Thysanoptera. Gen. Tech. Rep. NE-147. Radnor, PA: U.S. Department of Agriculture, Forest Service, Northeastern Forest Experiment Station: 213-230.
Publication Series: General Technical Report (GTR)
Station: Northeastern Research Station
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DescriptionKriging is a statistical technique that provides predictions for spatially and temporally correlated data. Observations of thrips distribution and density in Vermont soils are made in both space and time. Traditional statistical analysis of such data assumes that the counts taken over space and time are independent, which is not necessarily true. Therefore, to analyze these data correctly we must account for the correlation structure in the data, which can be done with Kriging. The Kriging technique is reviewed and its use illustrated in determining the pattern of thrips distribution and density in Vermont by analysis of data from the Vermont Pear Thrips Soil Survey for the 1988-89 season.
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CitationAleong, John; Parker, Bruce L.; Skinner, Margaret; Howard, Diantha. 1991. Analysis of thrips distribution: application of spatial statistics and Kriging. Parker, Bruce. L.; Skinner, Margaret; Lewis, Trevor, eds. Towards Understanding Thysanoptera. Gen. Tech. Rep. NE-147. Radnor, PA: U.S. Department of Agriculture, Forest Service, Northeastern Forest Experiment Station: 213-230.
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