Statistical Techniques Applied to Aerial Radiometric Surveys (STAARS): Principal Components Analysis User's Manual

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Description

From abstract: A Principal Components Analysis (PCA) program has been written to aid in the interpretation of multivariate aerial radiometric data collected by the U.S. Department of Energy (DOE) under the National Uranium Resource Evaluation (NURE) program. The variations exhibited by these data have been reduced and classified into a number of linear combinations by using the PCA program. The PCA program then generates histograms and outlier maps of the individual variates. Black and white plots can be made on a Calcomp plotter by the application of follow-up programs. All programs referred to in this guide were written for a ... continued below

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83 p. : ill., maps ; 28 cm.

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Koch, C. D.; Pirkle, F. L. & Schmidt, J. S. January 1981.

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  • Main Title: Statistical Techniques Applied to Aerial Radiometric Surveys (STAARS): Principal Components Analysis User's Manual
  • Series Title: GJBX
  • Series Title: Atomic Energy Commission Reports
  • Added Title: United States Department of Energy Grand Junction Office Report GJBX-9(81)

Description

From abstract: A Principal Components Analysis (PCA) program has been written to aid in the interpretation of multivariate aerial radiometric data collected by the U.S. Department of Energy (DOE) under the National Uranium Resource Evaluation (NURE) program. The variations exhibited by these data have been reduced and classified into a number of linear combinations by using the PCA program. The PCA program then generates histograms and outlier maps of the individual variates. Black and white plots can be made on a Calcomp plotter by the application of follow-up programs. All programs referred to in this guide were written for a DEC-10. From this analysis a geologist may begin to interpret the data structure. Insight into geological processes underlying the data may be obtained.

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83 p. : ill., maps ; 28 cm.

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Includes microfiche.

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  • Statistical Techniques Applied to Aerial Radiometric Surveys (STAARS): Principal Components Analysis User's Manual, Figure 8

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References : Statistical Techniques Applied to Aerial Radiometric Surveys (STAARS): Principal Components Analysis User's Manual, Figure 8

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  • January 1981

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  • Oct. 8, 2017, 9:12 a.m.

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  • Oct. 30, 2017, 2:58 p.m.

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Koch, C. D.; Pirkle, F. L. & Schmidt, J. S. Statistical Techniques Applied to Aerial Radiometric Surveys (STAARS): Principal Components Analysis User's Manual, report, January 1981; Washington D.C.. (digital.library.unt.edu/ark:/67531/metadc784550/: accessed December 11, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.