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  • 1
    Call number: SR 90.0008(74-52)
    In: Paper
    Type of Medium: Series available for loan
    Pages: 36 S.
    Series Statement: Paper / Geological Survey of Canada 74-52
    Language: English
    Location: Lower compact magazine
    Branch Library: GFZ Library
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  • 2
    Call number: PIK M 311-09-0079
    Description / Table of Contents: Contents: 1. Introduction. ; 2. Preparing the Data for Use in R and DAS+R. ; 3. Graphics to Display the Data Distribution. ; 4. Statistical Distribution Measures. ; 5. Mapping Spatial Data. ; 6. Further Graphics for Exploratory Data Analysis. ; 7. Defining Background and Threshold, Identification of Data Outliers and Element Sources. ; 8. Comparing Data in Tables and Graphics. ; 9. Comparing Data Using Statistical Tests. ; 10. Improving Data Behaviour for Statistical Analysis: Ranking and Transformations. ; 11. Correlation. ; 12. Multivariate Graphics. ; 13. Multivariate Outlier Detection. ; 14. Principal Component Analysis (PCA) and Factor Analysis (FA). ; 15. Cluster Analysis. ; 16. Regression Analysis (RA). ; 17. Discriminant Analysis (DA) and Other Knowledge-Based Classification Methods. ; 18. Quality Control (QC). ; 19. Introduction to R and Structure of the DAS+R Graphical User Interface.
    Type of Medium: Monograph available for loan
    Pages: XVIII, 343 S. : Ill., graph. Darst.
    ISBN: 9780470985816
    Location: A 18 - must be ordered
    Branch Library: PIK Library
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Mathematical geology 16 (1984), S. 529-530 
    ISSN: 1573-8868
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Mathematics
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    Springer
    Mathematical geology 10 (1978), S. 481-494 
    ISSN: 1573-8868
    Keywords: geochemistry ; crustal abundance ; resource analysis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Mathematics
    Notes: Abstract An abundance model resource appraisal has been undertaken for 10 mineral commodities in Canada: nickel, copper, zinc, lead, molybdenum, uranium, silver, gold, chromium, and tin. The purpose of the appraisal was to investigate the applicability of the model to the Canadian situation. Resource appraisals for the first 6 of the commodities studied have been published following deposit modeling studies. For many other commodities studied have been published following deposit modeling appraisals. The demonstration of the relevance of the abundance model to Canada would allow its application in such cases. The data presented in this paper indicate that the approximate relation, resource (short tons)=abundance (%)×1010. holds true for all commodities studied except chromium and tin. As the resources versus abundances relationship observed on a global scale is observable in Canada, it is concluded that Canada is a sufficiently large fraction (∼7%) of the earth's continental crust to represent a valid sample of that crust. Canada appears to be relatively well endowed with resources of copper, molybdenum, lead, and zinc, and poorly endowed with chromium and tin. It is proposed that the intersection of national boundaries with the boundaries of the world's metallogenic provinces is of greater importance than the intensity of past search, a feature that has been suggested in other studies. If these areas overlap, a nation may be self sufficient in a commodity: if they do not, the nation must import, or find a nationally available substitute. The sources of information used in the appraisal are outlined together with an analysis of the problems encounterea and the time requirements.
    Type of Medium: Electronic Resource
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  • 5
    Electronic Resource
    Electronic Resource
    Springer
    Mathematical geology 15 (1983), S. 385-398 
    ISSN: 1573-8868
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Mathematics
    Type of Medium: Electronic Resource
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  • 6
    Electronic Resource
    Electronic Resource
    Springer
    Mathematical geology 9 (1977), S. 245-258 
    ISSN: 1573-8868
    Keywords: exploration geochemistry ; resource analysis ; statistics
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Mathematics
    Notes: Abstract Exploration geochemistry is viewed in a resource appraisal framework and the various general methods are discussed in terms of their applicability at different stages of the appraisal exercise. The direct nature of geochemical exploration is emphasized and the various types of data that the surveys yield are discussed together with their modes of interpretation. It is shown how the data may be simply reduced to a probability form which will allow data from many sources to be utilized. The limitations of exploration geochemistry in resource appraisal are also discussed so that unnatural expectations may not be fostered and that geochemistry be placed correctly, and complementarity, with the other geoscience techniques of resource appraisal.
    Type of Medium: Electronic Resource
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  • 7
    ISSN: 1573-8868
    Keywords: analysis of variance ; sampling design ; regional geochemical survey ; uranium
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Mathematics
    Notes: Abstract The design of sampling schemes for regional geochemical reconnaissance surveys in aid of mineral exploration and resource appraisal are based on the concepts of geometric probability. By defining the geochemical target size and an associated risk of misclassification, an appropriate sampling density may be derived. However, even though an individual sample may be collected from within the target there is some probability that this fact will not be recognized. Through the use of a structured sampling design, and subsequent analysis of variance to estimate variance components, the variability at the laboratory and various field scales is determined. It is demonstrated that through an empirical model, which uses the variance components, a survey index of target recognition may be derived. This can then be used to obtain a posterior estimate of the expectation of success in detecting targets of various sizes. This information is of assistance in resource appraisal studies where it is necessary to weight and combine information derived from diverse geoscience studies.
    Type of Medium: Electronic Resource
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  • 8
    ISSN: 1573-8868
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Mathematics
    Notes: Abstract The methods used to generate a unified cell structured data base for geological, mineral occurrence, geochemical, and three different types of geophysical data are reviewed. The extremes of both excess and paucity of data were encountered and procedures for data compression and interpolation between known values were required. In the latter case a weighted moving average was used to take advantage of knowledge of the regional geological structure in an informal kriging. Classical approaches based on training data sets were investigated and found to be wanting in the area due to the inadequate mineral occurrence data base. The few data cells containing mineral occurrences were known with certainty; however, many of the cells classified as non-mineral occurrence containing, due to the immature exploration history, probably contained mineral occurrences of equal or greater significance. This inadequacy in the mineral occurrence data base confounded formal statistical analysis. An empirical scoring approach was developed which draws on general exploration criteria. This methodology, based on the geochemical and geophysical data, was used to prepare an Athabasca type uranium deposit favorability index. The favorable areas are examined in terms of the known geology. Results show that the majority fell in areas that would also be considered favorable by geologic models for Athabasca type uranium deposits. This empirical approach, based on geochemical and geophysical interpretive procedures, may have particular potential in poorly explored areas lacking good training sets.
    Type of Medium: Electronic Resource
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  • 9
    Publication Date: 2017-08-18
    Description: Analytical Chemistry DOI: 10.1021/acs.analchem.7b01907
    Print ISSN: 0003-2700
    Electronic ISSN: 1520-6882
    Topics: Chemistry and Pharmacology
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  • 10
    Publication Date: 1983-04-01
    Print ISSN: 1874-8961
    Electronic ISSN: 1874-8953
    Topics: Geosciences , Mathematics
    Published by Springer
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