| Issue |
E3S Web Conf.
Volume 110, 2019
International Science Conference SPbWOSCE-2018 “Business Technologies for Sustainable Urban Development”
|
|
|---|---|---|
| Article Number | 02117 | |
| Number of page(s) | 9 | |
| Section | Environmental Management and Economics | |
| DOI | https://doi.org/10.1051/e3sconf/201911002117 | |
| Published online | 09 August 2019 | |
Determination of the limits of municipal formations in the inhomogeneous geoinformation space
1 Siberian State University of Geosystems and Technologies, 10, Plakhotnogo St., Novosibirsk, 630108, Russia
2 Industrial University of Tyumen, 38, Volodarsky St., Tyumen, 625000, Russia
* Corresponding author: schukinavn@tyuiu.ru
The article discusses the technical design of the boundaries of municipalities in the inhomogeneous geospace. The scientific hypothesis of the work is that the use of technical approximation in the design of municipal boundaries will allow them to be scientifically established locally and increase the level of automation. It is noted that the existing methods of technical design of the boundaries of municipal formations do not allow taking into account the heterogeneity of geospatial data, and the functionality of the software for the preparation of land management documentation has a low level of automation of geometric design. The consequences of this are significant labor costs and the influence of the subjective factor on the design decisions. Nowadays, there is no single approach to perform technical (geometric) design of the boundaries of municipalities in Russia. At the same time, the establishment of the Institute of local self-government in Russia requires reliable and relevant data on the state of the territory and the boundaries of municipalities. To solve this problem, a methodology has been developed, which includes principles, additional requirements, theoretical basis of technical design of municipal boundaries, algorithm and software module for geometric design.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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