VISUAL AND SPATIAL ANALYSIS:
Advances in Data Mining,
Reasoning and Problem Solving

Visual correlation methods and models
Boris Kovalerchuk

    Sections

    1.   Introduction

    2.   Examples of numeric visual correlations

    3.   Classification of visual correlation methods

    4.   Visual correlation efficiency

    5.   Visual correlation:  formal definitions, analysis, and theory

    6.   Conclusion

    7.   Acknowledgements

    8.   Exercises and problems

    9.   References

    Abstract

    This chapter introduces the concept of visual correlation and describes the essence of a generalized correlation to be used for multilevel and conflicting data. Several categories of visual correlation are presented accompanied by both numeric and non-numeric examples with three levels (high, medium and low) of coordination. We also present examples of multi-type visual correlations. Next, the chapter provides a classification of visual correlation methods with corresponding metaphors and criteria for visual correlation efficiency. Finally, the chapter finishes with a more formal treatment of visual correlation providing formal definitions, analysis, and theory.

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