Basics of spatial data analysis
Course: Geoinformation systems and Technologies
Structural unit: Educational and Scientific Institute "Institute of Geology"
Title
Basics of spatial data analysis
Code
ВК 2.01
Module type
Вибіркова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2022/2023
Semester/trimester when the component is delivered
3 Semester
Number of ECTS credits allocated
5
Learning outcomes
- Apply conceptual knowledge of natural and socio-economic sciences when performing tasks of geodesy and land management.
- To know the history and peculiarities of the development of geodesy and land management, their place in the general system of knowledge about nature and society.
- Collect, evaluate, interpret and use geospatial data, metadata about objects of natural and man-made origin, apply statistical methods of their analysis to solve specialized problems in the field of geodesy and land management.
- Select and apply the tools, equipment, equipment and software required for remote, terrestrial, field and camera surveys in the field of geodesy and land management.
Form of study
Prerequisites and co-requisites
In order to better master the educational material of the discipline, students must acquire knowledge and skills in the field of informatics and computer technology, the basics of mathematical analysis, general geology and engineering geology before it begins.
Course content
The discipline involves familiarization with the main areas of use of geoinformation systems, the formation of students' skills in learning theoretical concepts, modern methods and algorithms of geospatial data analysis (measurement functions, data selection, classification, overlay functions, environment functions, connectivity functions), mastering practical skills in using geospatial analysis tools for solving problems based on large volumes of geospatial data. During the course, students get acquainted with the tools and capabilities of advanced GIS programs (ArcGIS, QGIS) and conduct spatial analysis based on them.
Recommended or required reading and other learning resources/tools
1. J.E. Campbell, M. Shin (2012). Geographic Information System Basics (v. 1.0). https://2012books.lardbucket.org/pdfs/geographic-information-system-basics.pdf
2. M.J. de Smith, M.F. Goodchild, P.A. Longley & Associates (2018). Geospatial Analysis. A Comprehensive Guide to Principles Techniques and Software Tools, 6th edition. 978-1-912556-05-2. www.spatialanalysisonline.com
3. Freund, J., and B. Perles. 2006. Modern Elementary Statistics. ISBN 10: 1-292-03909-4
4. SQL reference for query expressions used in ArcGIS. https://desktop.arcgis.com/en/arcmap/latest/map/working-with-layers/sql-reference-for-query-expressions-used-in-arcgis.htm
5. QGIS Tutorials and Tips. https://www.qgistutorials.com/
Planned learning activities and teaching methods
lectures and practical classes, modular control works, independent work
Assessment methods and criteria
Control is carried out according to the modular rating system and includes: performance of 10 laboratory works (where students must demonstrate the quality of acquired knowledge and solve tasks using the methods and tools outlined by the teacher), as well as conducting 2 modular control works. The final assessment is conducted in the form of a written and oral assessment.
Language of instruction
Ukrainian
Lecturers
This discipline is taught by the following teachers
Iryna
Tsiupa
Geoinformatics
Educational and Scientific Institute "Institute of Geology"
Educational and Scientific Institute "Institute of Geology"
Departments
The following departments are involved in teaching the above discipline
Geoinformatics
Educational and Scientific Institute "Institute of Geology"