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Introduction to GIS Analysis

2025/2026
Учебный год
ENG
Обучение ведется на английском языке
3
Кредиты
Статус:
Курс по выбору
Когда читается:
2-й курс, 2 модуль

Преподаватель

Course Syllabus

Abstract

This course introduces the foundations of the methods and techniques of spatial data analysis. The course begins with the simple concepts of lementary spatial analysis. At the end of the course, some of the most complex methods of combining and comparing spatial objects are considered to develop new knowledge or help to make a decision.
Learning Objectives

Learning Objectives

  • The course aims to develop students' skills in working with geospatial data and systems, as well as provide an understanding of the potential use of these tools in the work of managers and analysts. During practical sessions, students will learn about spatial analysis and be trained in data processing and visualization techniques related to industrial, social, and infrastructure objects across different territories and scales.
Expected Learning Outcomes

Expected Learning Outcomes

  • Gains an understanding of basic concepts, terms, and methods of spatial analysis.
  • Learns about the theoretical and practical aspects of Geographic Information Systems (GIS).
  • Masters techniques such as overlay, buffer, and Voronoi analysis.
  • Applies spatial zoning methods for decision-making.
  • Performs relative and neighborhood spatial analysis.
Course Contents

Course Contents

  • 1) Basic Concepts, Terms, and Methods
  • 2) Vector Analysis Methods
  • 3) Zoning
  • 4) Spatial Relative Analysis
  • 5) Spatial Neighborhood Analysis
Assessment Elements

Assessment Elements

  • non-blocking Practical work in QGIS
  • non-blocking Practical work in GeoDa
  • non-blocking Exam
Interim Assessment

Interim Assessment

  • 2025/2026 2nd module
    0.4 * Exam + 0.3 * Practical work in GeoDa + 0.3 * Practical work in QGIS
Bibliography

Bibliography

Recommended Core Bibliography

  • Nasser, H. (2015). ArcGIS By Example. Birmingham, UK: Packt Publishing. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1057594

Recommended Additional Bibliography

  • Bin Jiang, & Xiaobai Yao. (2010). Geospatial Analysis and Modelling of Urban Structure and Dynamics. Springer.
  • Lansley, G., de Smith, M., Goodchild, M., & Longley, P. (2019). Big Data and Geospatial Analysis.

Authors

  • NAGYMANOVA LIANA