The optimal way to use geoinformation systems with graphical elements of symbols of veterinary significant objects in vector format

A significant problem in the field of standardization in the monitoring of infectious animal diseases is the lack of a system of conventional symbols of veterinary significant objects used in geoinformation technologies, in particular in digital and electronic cartography. The object of the study is the conventional signs of veterinary significant objects, which in the context of display on digital maps can be defined as "non–scalable", marked with corresponding pictograms. A systematic approach has been applied as a methodological basis for the epizootological research method. The basic graphic format of the proposed SVG symbols is used – (Scalable Vector Graphics), which is a modern generally accepted vector format. This article presents the results of cartographic display of pictograms of one of the three sets of symbols for the database – veterinary facilities for various purposes – for which the method of selecting basic signs is used. An algorithm for fixing elements of symbols of veterinary significant objects in the vector format of the SVG geoinformation system with maximum use of free software and secure information technologies is presented. Images in SVG format can be directly represented in current GIS and converted to almost any vector and raster formats without loss of image quality. The algorithm for developing a system of symbols for veterinary significant objects will be used in the Draft of the preliminary national standard in the future.

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Publication Details

Journal
Legal regulation in veterinary medicine
Published
2024-10-13
DOI
https://doi.org/10.52419/issn2782-6252.2024.3.34
Citations
1
Primary Topic
Advanced Scientific Research Methods
Type
article
Field-Weighted Citation Impact
0.35
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article

The optimal way to use geoinformation systems with graphical elements of symbols of veterinary significant objects in vector format

D. A. Orekhov, Valentina Zakharkina, Павел Петрович Щербаков, V. A. Kuzmin et al.
1 citations
Legal regulation in veterinary medicine
Advanced Scientific Research Methods
0.35
article

The optimal way to use geoinformation systems with graphical elements of symbols of veterinary significant objects in vector format

D. A. Orekhov, Valentina Zakharkina, Павел Петрович Щербаков, V. A. Kuzmin, A. B. Aidiev
article en
1 citations

Abstract

A significant problem in the field of standardization in the monitoring of infectious animal diseases is the lack of a system of conventional symbols of veterinary significant objects used in geoinformation technologies, in particular in digital and electronic cartography. The object of the study is the conventional signs of veterinary significant objects, which in the context of display on digital maps can be defined as "non–scalable", marked with corresponding pictograms. A systematic approach has been applied as a methodological basis for the epizootological research method. The basic graphic format of the proposed SVG symbols is used – (Scalable Vector Graphics), which is a modern generally accepted vector format. This article presents the results of cartographic display of pictograms of one of the three sets of symbols for the database – veterinary facilities for various purposes – for which the method of selecting basic signs is used. An algorithm for fixing elements of symbols of veterinary significant objects in the vector format of the SVG geoinformation system with maximum use of free software and secure information technologies is presented. Images in SVG format can be directly represented in current GIS and converted to almost any vector and raster formats without loss of image quality. The algorithm for developing a system of symbols for veterinary significant objects will be used in the Draft of the preliminary national standard in the future.

Legal regulation in veterinary medicine(3)
St Petersburg University (RU), University of Veterinary Medicine (HU)
Openalex Percentile: Top 35%
Advanced Scientific Research Methods
0.35
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