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"EIDOS" SYSTEM AS A GEOCOGNITIVE SYSTEM (GCS) FOR RECOVERING UNKNOWN VALUES OF SPATIALLY DISTRIBUTED FUNCTIONS BASED ON DESCRIPTIVE INFORMATION FROM CARTOGRAPHIC DATABASES

By Lutsenko Y. V. and Bandyk D. K.

Abstract

The article proposes to use the automated systemcognitive analysis (ASC-analysis) and its software tool which is "Eidos" system to solving multiparameter typing, system identification and cartographic visualization of spatially-distributed natural, environmental and socio-economic systems. Imagine, that we have an original point cloud with coordinates (X,Y,Z), each with known values of gradation descriptive scales of nominal, ordinal, or numeric type S(s1,s2,...,sn). Then the "Eidos" system provides: 1) building a model that contains generalized knowledge about the strength and the direction of the influence of descriptive gradations of scales at Z=M(S); 2) estimation of the values of Z for points (X,Y) described in the same descriptive scales S(s1,s2,...,sn), but not a part of the original point cloud; 3) a cartographic visualization of the spatial distribution of values of the function Z=M(S) for points outside the initial cloud, using Delaunay triangulation. Basically, this means that the "Eidos" system ensures recovery of the unknown function values on the grounds of the argument and implements it in a generic setting, independent of subject area. We propose a new scientific concept called "Geo-cognition system", which is defined as a software system that provides conversion of source data into information, and knowledge in visualization and mapping of this knowledge, resulting in the cognitive map becomes graphics. This feature can be used to quantify the degree of suitability of the watersheds for cultivation of certain crops, the evaluation of the ecological situation on particular territories on the structure and intensity of anthropogenic load, visualization of results of forecasting of earthquakes and other unwanted risks or emergencies, as well as for solving many other similar mathematical essence of tasks in a variety of subject areas. We have also shown a simple numerical exampl

Topics: ASC-ANALYSIS, AUTOMATED SYSTEM-COGNITIVE ANALYSIS, "EIDOS" GEOINFORMATION INTELLIGENT SYSTEM, MULTIPARAMETER TYPING, SYSTEM IDENTIFICATION MAPPING DATABASE COGNITIVE GRAPHICS, General Works, A
Publisher: Kuban State Agrarian University
Year: 2016
OAI identifier: oai:doaj.org/article:e2b19a904e91430280a3f29810552476
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