
Geographic Information Systems Applied to Planning
Code: 104274Credits: 6
| Degree programme | Type | Course |
|---|---|---|
| Geography, Environmental Management and Regional Planning | OP | 3 |
Contact lecturer
- Name :
- Anna Badia Perpinya
- Email :
- anna.badia@uab.cat
Group languages
You can consult this information at the end of the document.
Prerequisites
To take this course, you must have an equivalent level of Catalan and/or Spanish to at least B2.
Objectives
This is an elective subject that can be taken in either the 3rd or 4th year.
The aim of this course is to enable students to use Geographic Information Systems (GIS) as tools for analysis, modelling and decision support in territorial, urban and environmental planning processes. Through an applied approach, students will work both on practical case studies using MiraMon and ArcGIS Pro and on simulation activities based on decision-making processes, in which they will be required to assess the role of geospatial data and GIS in real planning contexts.
Beyond instrumental proficiency, the course emphasises the critical and responsible use of GIS, addressing issues such as territorial modelling, conflict management, citizen science, collaborative mapping, participatory urbanism, geospatial artificial intelligence, privacy, ethics and the responsible management of geospatial data. The course therefore promotes a cross-cutting understanding of GIS as technical instruments, but also as tools with social, political and environmental implications in the production of territorial knowledge and in public decision-making.
This approach is applied to both urban and rural contexts and takes into account the social, environmental and economic dimensions of territory. By the end of the course, students should be able to design, develop, interpret and defend spatial analyses applied to planning problems, while assessing their potential, limitations and associated responsibilities.
Learning outcomes
- CM27 (Use geographical information systems as a tool to obtain answers to certain questions related to geoinformation.) Use geographical information systems as a tool to obtain answers to certain questions related to geoinformation.
- CM28 (Make use of GIS in the understanding of spatial, environmental, economic and social phenomena.) Make use of GIS in the understanding of spatial, environmental, economic and social phenomena.
- SM39 (Apply GIS for territorial planning and management from geographical and environmental viewpoints.) Apply GIS for territorial planning and management from geographical and environmental viewpoints.
Contents
The course content is structured around the use of Geographic Information Systems in territorial, urban and environmental planning processes. The course begins with an introduction to the role of GIS in these fields and then moves on to decision-making methodologies, territorial modelling and spatial analysis applied to planning situations.
Throughout the course, students work on practical case studies that involve integrating geospatial data from different sources, scales and formats, as well as developing analytical criteria to interpret territorial dynamics, assess alternatives and represent results. This practical work is mainly carried out using MiraMon and ArcGIS Pro, and is complemented by simulation activities involving decision-making, territorial conflict or negotiation scenarios.
The course content also incorporates a critical perspective on the role of geospatial data in planning. This approach makes it possible to address GIS not only as technical tools, but also as instruments that shape the way territory is analysed, represented and acted upon.
Syllabus
- Introduction to GIS in territorial, urban and environmental planning
- Decision-making and modelling in territorial planning
- GIS and the management of territorial conflicts
- Citizen science, participatory urbanism and GIS: collaborative mapping
- The challenges of geospatial artificial intelligence
- Ethics, privacy and responsible management of geospatial data
Learning activities and methodology
| Title | Hours | ECTS | Learning outcomes |
|---|---|---|---|
| Supervision of course work | 25 | 1 | CM27, CM28, SM39 |
| Autonomous study and realization of internships and coursework | 75 | 3 | CM27, CM28, SM39 |
| Theoretical (TE) and GIS practical classroom (PLAB) | 48 | 1.92 | CM27, CM28, SM39 |
The course methodology combines theoretical sessions, guided practical activities and students’ independent work. The theoretical sessions introduce the concepts, approaches and debates related to the use of GIS in territorial, urban and environmental planning, and are complemented by activities involving reflection, discussion and the preparation of planning case studies.
The course includes simulation activities based on decision-making, territorial conflict or negotiation processes. In these activities, students will work with real situations and will be required to assess the role of geospatial data, spatial models and GIS in defining, justifying and discussing planning alternatives.
A significant part of the course is developed through guided and supervised practical sessions in the classroom, in which students apply spatial analysis, modelling and cartographic representation methodologies using tools such as MiraMon and ArcGIS Pro. These practical sessions combine work supported by the teaching staff with tasks that students must complete independently, with the aim of consolidating the procedures covered in class.
Finally, the course includes the development of an applied project in pairs, related to the course content and to the practical activities carried out. This project will allow students to integrate the theoretical and methodological knowledge acquired, as well as to develop their own spatial analysis applied to a planning problem.
Learning activities are therefore organised around four main axes:
1. theoretical and discussion sessions, aimed at introducing key concepts and reflecting on the role of GIS in planning.
2. Guided practical sessions with GIS software, mainly using MiraMon and ArcGIS Pro.
3. Simulation and case-solving activities, focused on decision-making processes, territorial conflict and the assessment of alternatives.
4. Independent work and course project, aimed at consolidating learning outcomes and applying them to an individual case study.
Assessment
Continuous assessment activities
| Title | Weight | Hours | ECTS | Learning outcomes |
|---|---|---|---|---|
| Written Exam | 30 | 2 | 0.08 | CM27, CM28, SM39 |
| Assigments | 20 | 0 | 0 | CM27, CM28 |
| Term paper | 20 | 0 | 0 | CM27, CM28, SM39 |
| Class activity and case studies | 30 | 0 | 0 | CM27, CM28, SM39 |
Assessment is continuous; therefore, in order to achieve the learning outcomes, it is necessary to follow the course throughout its duration.
- Written exam (30%)
- In-class activities and participation (30%)
- Practical assignments (20%)
- Course project (20%)
The final grade is calculated as the weighted average of the assessment activities. However, please note, to pass the course, the written exam and the course project must both be passed.
Assessment criteria for written exams: relevance of the answer and the level of knowledge demonstrated on the subject will be evaluated.
Assessment criteria for practical assignments and case studies worked on in class: formal aspects, correct calculation of indicators (when this is the objective of the assignment), proper execution of a structured analysis of the results obtained, and interpretation of the results. Special emphasis will be placed on the ability to extract and present the most relevant information and relate it to the course content.
Assessment criteria for the course project: formal aspects, definition of objectives, problem statement and models used to improve service planning, definition of analysis variables, resolution of results, their interpretation, conclusions, and their public presentation, when applicable.
Review of grades
The maximum deadline for providing feedback and communicating the grades of the assessment activities is three weeks.
At the time of each assessment activity, the lecturer will inform students, via Moodle, of the procedure and date for reviewing grades.
Recovery
The exam (30%) and the course project (20%) can be taken again if it has been failed.
Not evaluable
Students who have not handed in more than 30% of the evaluation activities will receive a grade of 'Not evaluable'.
Plagiarism
If the student commits any irregularity that may lead to a significant variation in the grade of an assessment, this assessment will be graded as 0, regardless of any disciplinary process that may take place. If several irregularities occur in the assessments of the same subject, the final grade for this subject will be 0.
Use of artificial intelligence
Restricted use: For this subject, the use of artificial intelligence (AI) technologies is permitted only for support tasks such as bibliographic or information searches, proofreading, and translations. Students must clearly identify which parts have been generated using AI technologies, specify the tools used, and include a critical reflection on how these technologies have influenced the process and the final result of the activity. Failure to be transparent about the use of AI in this assessable activity will be considered academic dishonesty and may result in a partial or total penalty for the activity, or a more severe penalty in serious cases.
Single assessment
This subject/module does not include a single assessment system.
Bibliography
Recommended readings:
Bearman, N., Jones, N., André, I., Cachinho, H. A., & DeMers, M. (2016). The future role of GIS education in creating critical spatial thinkers. Journal of Geography in Higher Education, 40(3), 394-408. https://doi.org/10.1080/03098265.2016.1144729. Disponibilitat del text complet en línia, accés restringit als usuaris de la UAB (Servei de Biblioteques UAB).
Castañer, Margarida (Editora) (2012). El planejament territorial a Catalunya a inici del segle XXI. Una nova interpretació i projecció del país. Barcelona: Societat Catalana d'Ordenació del Territori. ISBN 978-84-9965-121-7.
Farinós Dasí, J. Olcina Cantos, J. (Eds.) (2022). Ordenación del Territorio y Medio ambiente. València, Tirant Humanidades, Crónica
/geografia. 812 p. Disponibilitat del text complet en línia, accés restringit als usuaris de la UAB (Servei de Biblioteques UAB).
Fernández, A., Muguruza, C. (2015). Ordenación del territorio: análisis y diagnóstico UNED - Universidad Nacional de Educación a
Distancia. E - ISBN: 9788436270365. Disponibilitat del text complet en línia, accés restringit als usuaris de la UAB (Servei de Biblioteques
UAB).
Kulkarni, Anand J. (ed.) (2022). Multiple Criteria Decision Making. Techniques, Analysis and Applications. https://link.springer.com/book/10.1007/978-981-16-7414-3
Lee, Sang M. and Moore, Laurence J. (1975). Introduction to decision science. New York: Petrocelli Carter Inc. Tadelis, Steven (2012). Game theory: An introduction. New Jersey (USA): Economics Books Princeton University Press.
Lambin, E.F., Meyfroidt, P., (2010). “Land use transitions: Socio-ecological feedback versus socio-economic change”. Land Use Policy, 27, pp. 108-118.
Linares, S. (coord..) Buzai, Gustavo; Tisnés, Adela; Celemín, Juan Pablo; Picone, Natasha; Rosso, Inés; La Macchia, María Lorena; Ortmann, Mauro (2016). Soluciones espaciales a problemas sociales urbanos. Aplicaciones de tecnologías de la información geográfica a la planificación y gestión municipal. https://igehcs.conicet.gov.ar/wp-content/uploads/sites/104/2019/07/Soluciones_espaciales_problemas_sociales_urbanos-1.pdf
Malczewski, J., & Rinner, C. (2015). Multicriteria Decision Analysis in Geographic Information Science. In Advances in Geographic Information Science. Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-74757-4. Disponible en línia al Servei de Biblioteques UAB.
Malekzadeh, M., Kestens, Y., & Blanford, J. I. (2026). Ethical guidelines for geoprivacy: a framework for researchers and ethics committees. BMC Medical Research Methodology, 26(1), 45. https://doi.org/10.1186/s12942-026-00460-y
Kumar, Manish; Singh R. B.; Singh. Anju; Pravesh, Ram (2023). Geographic Information Systems in Urban Planning and Management. Springer. Disponible a la biblioteca de la UAB online.
Olaya, V. Sistemas de Información Geográfica. https://volaya.github.io/libro-sig/
Silverman, B. (ed.) (2017). Geography, location and strategy. Bingley, England : Emerald Publishing. ISBN : 9781787146341. Disponible a la biblioteca de la UAB online
van Maarseveen, Martin; Martinez, Javier; Flacke, Johannes (2018). GIS in sustainable urban planning and management. A global perspective. Open access. https://library.oapen.org/handle/20.500.12657/101477
Robalo, I. (2015). Sistemas de información geográfica aplicados a la evaluación del territorio: material teórico. Editorial Universidad de Almería. E - ISBN: 9788413513348 Disponibilitat del text complet en línia, accés restringit als usuaris de la UAB (Servei de Biblioteques UAB).
Schultz, K. A. (2015). Mapping Interstate Territorial Conflict. Journal of Conflict Resolution, 61(7), 1565-1590. https://doi.org/10.1177/0022002715620470
Sieber, R. E. (2006). Public Participation Geographic Information Systems: A Literature Review and Framework. Annals of the Association of American Geographers, 96(3), 491–507. https://doi.org/10.1111/
Wuppuluri, Shyam, Doria, Francisco Antonio. (2018). The map and the territory. Exploring the fundations os science, thought and reality. Springer. 638 p. Disponibilitat del text complet en línia, accés restringit als usuaris de la UAB (Servei de Biblioteques UAB).
Software
ArcGIS Pro and/or MiraMon will be used.
Course groups and languages
The information provided is provisional until November 30. After this date, you will be able to consult the language of each group through this link. To access the information, you will need to enter the course CODE
| Type of teaching | Group | Language | Semester | Shift |
|---|---|---|---|---|
| (TE) Theory | 1 | Catalan | first semester | morning-mixed |
| (PLAB) Practical laboratories | 11 | Catalan | first semester | morning-mixed |
| (PLAB) Practical laboratories | 12 | Catalan | first semester | morning-mixed |