Computational Geology 19 Classification and the Combination of Sets
نویسنده
چکیده
Introduction The special issue of this journal (Nov. 2000) that was devoted to “Some Great Ideas for Geoscience Courses,” included nine ideas under the heading “Earth materials.” Six of those papers involved classification (Thomas and Thomas, 2000; Dowse, 2000; Reynolds and Semken, 2000; Harper, 2000; Christman, 2000; Niemitz, 2000). Classification of rocks and minerals is obviously a necessary component of introductory geology courses. Classification of rocks and minerals is taught in geology courses in order to understand geology better and to provide a basis for communication. Classification of rocks and minerals also provides a rich illustration of mathematical concepts involved in classification in general. These concepts, which are staples of courses in logic, occur in the mathematics curriculum in courses on discrete mathematics. This column is the second on the connection between sets and geological terminology. The context for the first (CG-18) was planets and moons. The context for this one is rocks.
منابع مشابه
Ecological classification of southern intertidal zones of Qeshm Island, based on CMECS model
The “Coastal and Marine Ecological Classification Standard (CMECS)”, a new approach to ecological classification, was applied to 122 km of the southern intertidal zone of Qeshm Island located the Hormouz Strait - the Persian Gulf. Two components of this model, Surface Geology (SGC) and Biotic Cover (BCC) were used. Considering the extent and geomorphological alternations of the covered area, 12...
متن کاملEfficiency of seismic wave velocity and electrical resistivity in estimation of limestone rock mass quality indices (Q, Qsrm) (Case study: Asmari formation, SW Iran)
In this research, the relationship between P-wave velocity (Vp) and Electrical Resistivity (ER) parameters with rock mass quality indices is investigated; parameters such as rock mass quality classification (Q) and modified system for sedimentary rocks, known as Qsrm. For making predictive models, about 1200 data-sets extracted from sections drilled in Seymareh and Karun 2 Dam Sites (SDS and KD...
متن کاملAutomatic Interpretation of UltraCam Imagery by Combination of Support Vector Machine and Knowledge-based Systems
With the development of digital sensors, an increasing number of high-resolution images are available. Interpretation of these images is not possible manually, which necessitates seeking for practical, fast and automatic solutions to solve the environmental and location-based management problems. The land cover classification using high-resolution imagery is a difficult process because of the c...
متن کاملCombination of Empirical Mode Decomposition Components of HRV Signals for Discriminating Emotional States
Introduction Automatic human emotion recognition is one of the most interesting topics in the field of affective computing. However, development of a reliable approach with a reasonable recognition rate is a challenging task. The main objective of the present study was to propose a robust method for discrimination of emotional responses thorough examination of heart rate variability (HRV). In t...
متن کاملRough sets theory in site selection decision making for water reservoirs
Rough Sets theory is a mathematical approach for analysis of a vague description of objects presented by a well-known mathematician, Pawlak (1982, 1991). This paper explores the use of Rough Sets theory in site location investigation of buried concrete water reservoirs. Making an appropriate decision in site location can always avoid unnecessary expensive costs which is very important in constr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2005