Abstract

In this article we discuss the principles of geospatial data design, which underlie the methods of displaying information based on the projection methods for the Arctic region and the continental shelf, using various web technologies. Various cartographic services were stud-ied depending on their functionality, the software development geography, and the associated mathematical system basis. We assessed the metric capabilities of the main projections under-lying the mapping services and determined the search functionality and demonstration tasks that can be solved by means of similar information systems. It is pointed out that it is neces-sary to provide the analytical functions for services and geoportals, which is necessary for mapping tools in making decisions. The principle of increasing accuracy, unification, ease of use was supported by the development of the unified approach for choosing a projection, that is the Unified Isometric Cartographic Projection. The use of this projection will make it possible to approach the data design issue in a unified manner, which, on the whole, will increase the cartographic security of the region and will make it possible to solve the cartographic problems in the unified manner. The accurate evaluation of the data obtained on the basis of this projec-tion showed that the results can be within the two meters accuracy. Such metric parameters are sufficient to make the design decisions on the infrastructure facilities’ development in the Arctic region and the continental shelf. In order to improve and develop the geoportal “The Arctic Spatial Data Infrastructure” (Arctic SDI), the option of improving its mathematical basis is a promising direction. In addition, the use of the Unified Isometric Cartographic Projection in a GIS user environment will remove the issue of the complex search for the optimal projection. Regardless of the tasks of mapping, when choosing the element needed (GIS user environment, 2D and 3D mapping services, databases) that defines the web mapping technology, data de-signing according to the single principle will remove a number of technical issues and incon-veniences, bringing it closer to the best option.

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