VISIBILITY AND METRIC OF GEOIMAGES AT TRAINING
Journal Title: Вісник Одеського національного університету. Географічні та геологічні науки - Year 2014, Vol 19, Issue 3
Abstract
The article investigates the levels of manifestation metric and visibility as geoimages properties, found the maximum extent of their expression, providing the choice of appropriate species geoimages with specified properties for a specific purpose, such as for training. Purpose of the article – to investigate and evaluate (verbally) the expression of the metric and visibility as geoimages properties to create combined models in training. The object of the research are the property (symmetric and visibility), the subject is the extent of their possible manifestations at geoimages. Metric property laid to geoimages from their inception with the definition of the mathematical framework and the analysis of finished works in a variety of techniques (dimensions on landscape maps, morphometry, etc.). It is therefore appropriate to distinguish two levels of manifestation metricity: cartographic plotting-and object-math. Both levels allow obtaining metric characteristics of objects and phenomena, but they are laid on the ground in the design of the image, and the second operate with completed works, and their conversion and modeling methods of analysis leads to the conclusion derived geoimages with specified metric properties. Visibility provides graphic visual perception (iconic) image: readability, recognition of spatial forms of objects (size, location, links), optimum combination of graphical tools and methods of the image, unity and integrity of the image. In the study of manifestations of clarity, we can distinguish three levels: 1) readability and recognizable objects, 2) the individual characteristics of graphic processes and phenomena, and 3) the unity and integrity of the image image. Each of these levels has its own degree of manifestation. Using combined geoimages involving performance with the highest degree of visibility and manifestations metricity provide simplicity and clarity of the model while maintaining metricity. Such models, for example, there is virtual, panoramic geoimages etc. Application in the learning process will greatly simplify the perception and memorization of the necessary information, and provide ease of removal rate parametric characteristics and their treatment.
Authors and Affiliations
T. M. Kurach
Keywords
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