乌克兰自然保护区地质生态地图集开发的概念模型

Q4 Earth and Planetary Sciences Geodeziya i Kartografiya Pub Date : 2023-07-05 DOI:10.3846/gac.2023.15373
E. Bondarenko, Mykola Kyryliuk
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引用次数: 0

摘要

本文论证了最完整、能全面表征乌克兰自然保护区对象和领土的地图学模型是地质生态地图集。指出图集创建的基础是其概念模型,在其制定的框架内规定了:建模对象、被建模系统的结构和组成、其要素的特征,以及系统中固有的被认为是实现建模目的所必需的因果关系。给出了NRF图谱的函数。其内容的形式特征是相互关联的。作者在制定和使用地图集完成与地图(顺序-传统;block-issue;组合)应用组合原则并以地图列表的形式确定地图集的最佳主题内容,按部分和块分组(三个部分,每个部分包含两个地图块)。定义了每一节/块所包括的地图类型(主要是:分析(清单)、分析综合(评价)、综合(建议、预测),并对每一节/块的制图指标和制图表示方法进行了说明。
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CONCEPTUAL MODEL FOR THE DEVELOPMENT OF GEO-ECOLOGICAL ATLAS OF THE NATURAL RESERVE FUND OF UKRAINE
The article substantiates that the most complete cartographic model, which comprehensively characterizes the objects and territories of the natural reserve fund (NRF) of Ukraine is the geo-ecological atlas. It is indicated that the basis for the creation of the atlas is its conceptual model, within the framework of the formulation of its provisions are defined: the object of modeling, structure and composition of the modeled system, the characteristics of its elements, as well as inherent in the system cause-effect relationships that are considered essential to achieve the purpose of modeling. The functions of the atlas of NRF are formulated. The formal features of its content are interconnected. The authors in the context of the formulation and use of methodological principles of atlas completing with maps (sequential-traditional; block-issue; combined) applied combined principle and determined the optimal thematic content of the atlas in the form of a list of maps, grouped by sections and blocks (three sections, each of which contains two blocks of maps). The types of maps included in each section / block are defined (mainly they are: analytical (inventory), analytical-synthetic (evaluation), synthetic (recommendation, forecast), for each of which the indicators of mapping and methods of cartographic representation are justified.
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来源期刊
Geodeziya i Kartografiya
Geodeziya i Kartografiya Earth and Planetary Sciences-Earth-Surface Processes
CiteScore
0.60
自引率
0.00%
发文量
73
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