Statistical techniques applied to aerial radiometric surveys (STAARS): principal components analysis user's manual. [NURE program]
A Principal Components Analysis (PCA) has been written to aid in the interpretation of multivariate aerial radiometric data collected by the US 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.
- Research Organization:
- Bendix Field Engineering Corp., Grand Junction, CO (United States)
- DOE Contract Number:
- AC13-76GJ01664
- OSTI ID:
- 6566995
- Report Number(s):
- GJBX-9(81); TRN: 81-006582
- Country of Publication:
- United States
- Language:
- English
Similar Records
Statistical techniques applied to aerial radiometric surveys (STAARS): application of the Huber M-estimator to aerial radiometric data for the identification of host and source areas for uranium deposits
Statistical techniques applied to aerial radiometric surveys (STAARS): time series analysis of airborne radiometric data. National Uranium Resource Evaluation
Related Subjects
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
MULTIVARIATE ANALYSIS
MANUALS
RADIOMETRIC SURVEYS
DATA ANALYSIS
DOCUMENT TYPES
GEOPHYSICAL SURVEYS
MATHEMATICS
STATISTICS
SURVEYS
050200* - Nuclear Fuels- Exploration- (-1987)
990200 - Mathematics & Computers