GEOSPATIAL ANALYSIS FOR STUDYING COMPETITIVE PERFORMANCE  IN ORIENTEERING

Savinykh E.; Zadorina E.; Kokoreva E.; Stovba I.; Stoliarova N.

doi:10.14529/hsm260214

E. Savinykh South Ural State University, Chelyabinsk, Russia http://orcid.org/0000-0001-5171-4861 savinykhei@susu.ru
E. Zadorina South Ural State University, Chelyabinsk, Russia http://orcid.org/0000-0001-7270-2675 zadorinaev@susu.ru
E. Kokoreva Ural State University of Physical Education, Chelyabinsk, Russia http://orcid.org/0000-0002-2432-1699 keg-28@mail.ru
I. Stovba South Ural State University, Chelyabinsk, Russia http://orcid.org/0000-0002-6923-5081 stovbair@susu.ru
N. Stoliarova South Ural State University, Chelyabinsk, Russia http://orcid.org/0000-0003-1990-2357 stoliarovanv@susu.ru

DOI: https://doi.org/10.14529/hsm260214

Keywords: geospatial analysis, orienteering, Python, spatial datasets, heat maps

Abstract

Aim. This paper aims to assess the potential of geospatial analysis for studying competitive activity in orienteering and identifying factors influencing competitive performance across different regions and terrain types. Materials and methods. This study used an electronic database of competitions from 01.04.2017 to 07.04.2024 containing 959 689 records. The database included information on athletes, course parameters, competition locations, and performance results. These data were pre-cleaned and verified. Statistical analysis and geospatial visualization were performed using Python and the Pandas, Matplotlib, Seaborn, and Folium libraries. Results. The majority of competitions and participants are concentrated in the European part of Russia. Foot orienteering is the most widespread and accessible discipline. Geospatial analysis revealed regions with different levels of orienteering development and enabled a personalized study of individual competitive activity. A relationship was found between performance results and the athlete’s region of residence and the terrain type used in training. Conclusion. Geospatial analysis is an effective tool for assessing competitive activity in foot orienteering. Its application contributes to optimizing the training process, enhancing adaptive capacity in athletes, and improving their tactical preparation.

Author Biographies

E. Savinykh , South Ural State University, Chelyabinsk, Russia

Candidate of Biological Sciences, Associate Professor of the Department of Physical Education and Health, South Ural State University, Chelyabinsk, Russia.

E. Zadorina , South Ural State University, Chelyabinsk, Russia

Candidate of Biological Sciences, Associate Professor of the Department of Athletic Performance Enhancement, South Ural State University, Chelyabinsk, Russia.

E. Kokoreva , Ural State University of Physical Education, Chelyabinsk, Russia

Doctor of Biological Sciences, Head of the Department of Life Safety, Ural State University of Physical Education, Chelyabinsk, Russia.

I. Stovba , South Ural State University, Chelyabinsk, Russia

Candidate of Pedagogical Sciences, Associate Professor, Head of the Department of Physical Education and Health, South Ural State University, Chelyabinsk, Russia.

N. Stoliarova , South Ural State University, Chelyabinsk, Russia

Candidate of Biological Sciences, Associate Professor of the Department of Physical Education and Health, South Ural State University, Chelyabinsk, Russia.

References

References on translit

GEOSPATIAL ANALYSIS FOR STUDYING COMPETITIVE PERFORMANCE IN ORIENTEERING

Abstract

Author Biographies

References

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