G.I.S. Applications
| Title | Εφαρμογές ΣΓΠ / G.I.S. Applications |
| Code | 09EB074 |
| Faculty | Engineering |
| School | Rural and Surveying Engineering |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Winter/Spring |
| Coordinator | Sevasti Chalkidou |
| Common | No |
| Status | Active |
| Course ID | 600024664 |
Programme of Study: PPS Tmīmatos Agronómōn kai Topográfōn Mīchanikṓn (2025-sīmera)
Registered students: 0
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Geospatial Surveying | YPOCΗREŌTIKO EPILOGĪS EMFASĪS | 9 | 5 | 5 |
| Earth Observation using Geodetic Methods | EPILOGĪS ALLĪS EMFASĪS | 9 | 5 | 5 |
| Construction Surveying | EPILOGĪS ALLĪS EMFASĪS | 9 | 5 | 5 |
| Cadastre and Land Management | YPOCΗREŌTIKO EPILOGĪS EMFASĪS | 9 | 5 | 5 |
| Photogrammetry and Remote Sensing | YPOCΗREŌTIKO EPILOGĪS EMFASĪS | 9 | 5 | 5 |
| Cartography and Geographical Analysis | YPOCΗREŌTIKO EPILOGĪS EMFASĪS | 9 | 5 | 5 |
| Planning and Management of Transportation Infrastructure and Systems | YPOCΗREŌTIKO EPILOGĪS EMFASĪS | 9 | 5 | 5 |
| Water Resources, Environment and Engineering Works | YPOCΗREŌTIKO EPILOGĪS EMFASĪS | 9 | 5 | 5 |
| Academic Year | 2025 – 2026 |
| Class Period | Winter |
| Faculty Instructors | |
| Weekly Hours | 3 |
| Class ID | 600255107
|
Course Type 2021
Specialization / Direction
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600255107
- eLearning: https://elearning.auth.gr/course/view.php?id=269
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Students must have successfully completed the courses of Geoinformatics II (2nd semester), Geographic Information Systems I (4th semester) and Geographic Information Systems II (7th semester).
Learning Outcomes
Upon successful completion of the course, students will:
- better understand the importance of geospatial data for solving practical issues in the daily work of the Surveying Engineer.
- become familiar with more complex algorithms for solving problems related to the spatial location of a variable.
- become familiar with the process of describing, analysing and structuring geospatial algorithms.
- learn to manage big geospatial data using programming methods.
- become familiar with geospatial Python libraries (e.g. geopandas, pysal, osmnx, etc.)
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Adapt to new situations
- Make decisions
- Work autonomously
- Respect natural environment
- Demonstrate social, professional and ethical commitment and sensitivity to gender issues
- Be critical and self-critical
- Advance free, creative and causative thinking
Course Content (Syllabus)
1.) Geospatial Data and Geospatial Information Science. Trends and Challenges
2.) Data Import and Conversion between Different Formats. The concept of a Geodatabase and enterprise databases. Relations between descriptive and geospatial information.
3.) Exploratory Analysis of Geospatial Data. Statistical analysis of geospatial and descriptive datasets using programming languages.
4.) Advanced topics of standardization and Geospatial Information Management.
5.) GIS applications in hydrology. Necessary data and algorithms.
6.) Advanced topics in Spatial Data Analysis.
7.) Applications of GIS in Network Analysis. Data and Algorithms. Service Areas and Shortest Paths. The parameters of time and traffic speed.
8.) Spatial Weights and Spatial Correlation. The concept of Spatial Correlation and Spatial Autocorrelation. Spatial weights, categories of weights and methods of calculation. The Moran's I index and the Moran's I diagram.
9.) Application of GIS for calculating optimal locations of an activity based on multiple criteria. Algorithm structure, Data and Application in practice.
10.) The issue of Spatial Interpolation. Examples of Applications and Categorization of Algorithms. Nearest Neighbor Method, Inverse Distance Weighting. Geostatistics methods and application of the Kriging method.
11.) Management of n-Dimensional Data. The NetCDF format. Extraction and analysis of data using programming languages.
12.) GIS applications for smart cities/ urban analytics.
13.) Web-GIS applications. Trends and critical issues in the display and management of geospatial information on the web.
Keywords
Geographic information systems, Geospatial data, Geospatial analysis, Geospatial algorithms
Educational Material Types
- Notes
- Slide presentations
- Multimedia
- Book
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Laboratory Teaching
- Use of ICT in Communication with Students
- Use of ICT in Student Assessment
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 39 | ||||
| Laboratory Work | 20 | ||||
| Reading Assigment | 25 | ||||
| Project | 40 | ||||
| Exams | 1 | ||||
| Total | 125 |
Student Assessment
Description
The final grade of the course will be based 70% on a project that will be assigned to the students and 30% on the grade of the written examination at the end of the semester.
Student Assessment methods
- Written Exam with Multiple Choice Questions (Formative, Summative)
- Written Exam with Short Answer Questions (Formative, Summative)
- Written Assignment (Formative, Summative)
- Written Exam with Problem Solving (Formative, Summative)
Bibliography
Additional bibliography for study
1.) Κάβουρας Μ., Δάρρα Α., Κονταξάκη Σ., Τομαή Ε. Επιστήμη Γεωχωρικής Πληροφορίας - Αρχές και Τεχνολογίες. 2013. Κάλλιπος. ISBN: 978-960-603-342-1
2.) Κάβουρας Μ., Δάρρα Α., Κόκλα Μ., Κονταξάκη Σ., Πανόπουλος Γ., Τομαή Ε. Επιστήμη Γεωχωρικής Πληροφορίας - Ολοκληρωμένη Προσέγγιση και Ειδικά Θέματα. 2016. Κάλλιπος. ISBN: 978-960-603-343-8
3.) Ευελπίδου Ν., Τζουξανιώτη Μ., Καρκάνη Α. Γεωγραφικά Συστήματα Πληροφοριών από τη Θεωρία την Πράξη: Χρήση του ArcGIS Pro. 2023. Κάλλιπος. ISBN: 978-618-228-134-5
4.) Σημειώσεις της Διδάσκουσας.
Last Update
19-02-2025
