Applied spatial analysis and decision making systems
| Title | Εφαρμοσμένη χωρική ανάλυση και συστήματα λήψης αποφάσεων / Applied spatial analysis and decision making systems |
| Code | Μ9-ΦΠ |
| Faculty | Agriculture, Forestry and Natural Environment |
| School | Forestry and Natural Environment |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Spring |
| Common | Yes |
| Status | Active |
| Course ID | 600015553 |
| Academic Year | 2021 – 2022 |
| Class Period | Spring |
| Faculty Instructors | |
| Class ID | 600202857
|
Course Type 2011-2015
Knowledge Deepening / Consolidation
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600202857
- eLearning (Moodle): https://elearning.auth.gr/course/view.php?id=13593
Prerequisites
General Prerequisites
The aim of the course is to introduce students to the Geographic Information Science and spatial analysis with the main objectives of understanding the basic concepts of Geographic Information Systems (GIS), the processing and analysis of geospatial data, the use of tools and methods for solving complex environmental problems related to the management of natural resources. The main aim in the applications of geographical analysis is to make decisions based on the examination of variables related to the phenomenon under study. Particular emphasis will be placed on the possibilities of spatial analysis for the timely identification, evaluation and prioritization of geospatial problems, in order to achieve rational solutions through a system of options. An example of an application could be the spatial assessment of biomass from timber extraction and the identification of optimal locations for the installation of processing infrastructure. This course will enable students to understand concepts and methods of multi-criteria analysis and analytical hierarchy using spatial data. Therefore, they will be able to use their knowledge with the ultimate goal of more efficient use of resources, ecological design, development of innovations in products and services in the field of bio-economy, etc.
Learning Outcomes
Upon successful completion of the course students will have acquired the following knowledge / skills / abilities:
1. Understanding of basic concepts of Geographic Information Systems
2. Ability to process and analyze geospatial data
3. Ability to use tools and methods to solve complex environmental problems
4. Ability to implement spatial data analysis
General Competences
- Apply knowledge in practice
- Make decisions
Course Content (Syllabus)
Introduction to GIS and space analysis
Formats and structure of geographical data
Collection, sources and input of spatial data in GIS environment
Geodetic reference systems and cartographic projections
Geographical Databases
Spatial analysis of vector data
Processing and analysis of mosaic data
Spatial data modeling - Spatial interpolation
Spatial multi-criteria analysis with weighted cartographic superposition
Analytical hierarchy method
Basic principles of map composition
GSP applications in forestry and natural resource utilization
Current trends in the field of GSP
Educational Material Types
- Notes
- Slide presentations
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Communication with Students
- Use of ICT in Student Assessment
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 26 | ✓ | |||
| Reading Assigment | 30 | ✓ | |||
| Written assigments | 50 | ✓ | |||
| Total | 106 |
Student Assessment
Description
Assessment through assignments (criteria: Correct use of spatial analysis methods, Quality of written communication)
Student Assessment methods
- Written Assignment (Formative, Summative)
Bibliography
Additional bibliography for study
Κουτσόπουλος Κωστής Χ., 2002, Γεωγραφικά Συστήματα Πληροφοριών και Ανάλυση Χώρου, Εκδόσεις Παπασωτηρίου, ISBN:960-7530-20-9
Κουτσόπουλος, Κωστής Χ., Ανδρουλακάκης Ν. 2012, Γεωγραφικά συστήματα πληροφορικών με ArcGis10 : Θεωρία και πράξη: Με χρήση του ArcGis10, ISBN 978-960-491-030-4.
Συλλαίος Ν., Γήτας Ι., Συλλαίος Γ., 2007, Εισαγωγή στα γεωγραφικά συστήματα πληροφοριών και στην τηλεπισκόπηση, Εκδόσεις Γιαχούδη,ISBN:978-960-6700-12-5
A.Robinson, J.Morrison, Ph.Muehrcke, A. Kimerling, S. Gutpill, Στοιχεία Χαρτογραφίας, Πανεπιστημιακές Εκδόσεις ΕΜΠ, 2002.
Paul A. Longley, Michael F. Goodchild, David J. Maguire, David W. Rhind, 2015. Geographic Information Systems and Science, 4thed.
Abdul-Rahman, Alias, Pilouk, Morakot, 2008. Spatial Data Modelling for 3D GIS, ISBN 978-3-540-74167-1.
Malczewski, Jacek, Rinner, Claus, 2015. Multicriteria Decision Analysis in Geographic Information Science, BN 978-3-540-74757-4.
John E. Harmon, Steven J. Anderson, 2003. The Design and Implementation of Geographic Information Systems, ISBN: 978-0-471-20488-6.
Last Update
17-01-2022
