Application of Open and Specialized Geoinformation Systems for Computer Modelling Studying by Students and PhD Students
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Date
2020
Journal Title
Journal ISSN
Volume Title
Publisher
CEUR-WS.org
Abstract
The article contains research on use of open and specialized
geoinformation systems to prepare students and postgraduates on specialties:
101 “Environmental Sciences”, 103 “Earth Sciences”, 122 “Computer Sciences”,
183 “Environmental Technologies”. Analysis of the most common world open
geoinformation systems is done. Experience of geoinformation systems use for
students and postgraduates teaching for different specialties is described.
Predominant orientation towards the use of geoinformation systems in
educational process is determined based on the analysis of scientific publications
and curricula of the most popular Ukrainian universities. According to the
authors the material that is given narrows knowledge and skills of students and
postgraduates, particularly in computer modeling. It is concluded that ability of
students and postgraduates to use geoinformation systems is interdisciplinary. In
particular, it develops knowledge and skills in computer modeling of various
processes that may arise in the further professional activity. Examples of
professional issues and ways to solve them using geoinformation systems are
given. Recommendations are given on the use of open and specialized
geoinformation systems in the educational process. It is recommended to use both
proprietary (ArcGis, MapInfo) and open GIS (uDIG, QGIS, Whitebox GAT) to
teach students. Open GIS (uDIG, QGIS, Whitebox GAT) and specialized (Modular GIS Environment, GEO + CAD, GeoniCS, AISEEM) can be used to teach both students and postgraduates.
Description
Keywords
geographic information system, computer simulation, open software, specialized geographic information system, training of students, graduate students
Citation
Application of Open and Specialized Geoinformation Systems for Computer Modelling Studying by Students and PhD Students [Electronic resource] / Andrii Iatsyshyn, Anna Iatsyshyn, Valeriia Kovach [et al.] // CEUR Workshop Proceedings. ]. – Electronic text data. – 2020. – Vol. 1, Iss. 2732. – Mode of access: https://lib.iitta.gov.ua/727250/1/20200893.pdf. – Title from screen.