V. Chabaniuk. ATLAS SOLUTIONS FRAMEWORK AS A METHOD OF THE RENEWED MODEL-COGNITIVE CONCEPTION OF CARTOGRAPHY

DOI: 
https://doi.org/10.15407/ugz2021.03.029
Ukr. geogr. z. 2021, N3:29-38
Language of publication: 
English
Authors: 

V. Chabaniuk - Institute of Geography of the National Academy of Sciences of Ukraine, Kyiv

Abstract: 

There are described the method and, partly, atlas technology, currently used in the Institute of Geography of NASU to create Electronic atlases and Atlas information systems. Such dyads of methods and technologies/means in atlas context are generally called Atlas Solution Frameworks (AtlasSF). A clarification is used to denote “AtlasSF method” or “AtlasSF technology/means”. Since the beginning of the century our “initial” AtlasSF technology changed every five years with the unchangeable AtlasSF method. The third change of technology, starting in 2016, was revolutionary. Most principal was implicit changing of K. Salishchev’s Map knowledge conception of cartography. The new conception is still poorly understood, although the renewed AtlasSF method and technology are already based on it. The new conception/paradigm of cartography is called the renewed Model-cognitive paradigm (MCP). The original MCP is known in post-Soviet countries thanks to A. Berlyant. It has much in common with the paradigms of cartography, which are known in Western countries as Analytical (model part of MCP) and Communicative/Cognitive (cognitive part of MCP). Model-based engineering (MBE) and Relational cartography (RelCa) are used to provide “modern life” to MCP. Special models known as patterns are essential in the use of MBE and RelCa. Among the patterns a special place is occupied by frameworks. To interpret the theoretical constructions is used “Atlas of the Population of Ukraine and its Natural and Cultural Heritage”[1], created in 2020 with the help of renewed initial AtlasSF technology.

Key words: 
model-cognitive conception/paradigm: original and renewed, Atlas Solutions Framework, solutions and conceptual frameworks, relational cartography
Pages: 
29-38
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