Methodology of Computer Graphic Model Control for Accuracy in Forensic Land Management Expertise
https://doi.org/10.30764/1819-2785-2024-1-67-74
Abstract
The article outlines the problem of confirming the correctness of creating computer graphic models in forensic land management expertise. This problem is universal regardless of the program in which the computer graphic model has been created. The authors substantiate why it is necessary for experts to control the accuracy of created computer graphic models and to reflect the description of the process of its implementation in the expert’s opinion.
They also suggest a methodology for control of computer graphic model accuracy in the production of forensic land management expertise which includes quantitative comparison of distances between the selected points obtained using the model and calculated mathematically. The criterion of practical applicability for a constructed computer graphic model is given. The suggested technique will allow experts to track the model creation process, to verify its accuracy and the correctness of the computational algorithms of the computer program in which the simulation has been performed.
About the Authors
D. V. Samoilenko
State University of Land Use Planning
Russian Federation
Russian Federation
Samoilenko Dmitrii Vyacheslavovich – Senior Lecturer, Department of Land Law,
Moscow.
S. M. Salov
State University of Land Use Planning
Russian Federation
Russian Federation
Salov Sergey Mikhailovich – Candidate of Pedagogic Sciences, Associate Professor, Associate Professor of Higher Mathematics, Physics and Computer Science Department,
Moscow.
G. I. Bazhenova
State University of Land Use Planning
Russian Federation
Russian Federation
Bazhenova Galina Igorevna – Senior Lecturer, Department of Geodesy and Geoinformatics,
Moscow.
References
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Review
For citations:
Samoilenko D.V., Salov S.M., Bazhenova G.I. Methodology of Computer Graphic Model Control for Accuracy in Forensic Land Management Expertise. Theory and Practice of Forensic Science. 2024;19(1):67-74. (In Russ.) https://doi.org/10.30764/1819-2785-2024-1-67-74
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