2025
Space Analysis
Name: Space Analysis
Code: PAO00769L
6 ECTS
Duration: 15 weeks/156 hours
Scientific Area:
Geography
Teaching languages: Portuguese
Languages of tutoring support: Portuguese, English
Regime de Frequência: Presencial
Sustainable Development Goals
Learning Goals
Description and evaluation of the fundamental computational models for the representation and storage of geographic information
Description of fundamental spatial analysis processes and operations in geographical information systems.
Evaluation of spatial data models considering their potential for spatial analysis operations.
Evaluation of the implications of spatial data model characteristics for the definition of GIS applications and geographic modelling.
Evaluation of potential future developments and research directions in relation to spatial data models and spatial analysis.
Description of fundamental spatial analysis processes and operations in geographical information systems.
Evaluation of spatial data models considering their potential for spatial analysis operations.
Evaluation of the implications of spatial data model characteristics for the definition of GIS applications and geographic modelling.
Evaluation of potential future developments and research directions in relation to spatial data models and spatial analysis.
Contents
1.Geographic representation: evaluation of the different representation metaphors and an introduction to a systemic approach to representation metaphors.
2. Spatial data models: detailed analysis of vectorial model, raster model and other data models.
3. Single layer spatial operations: neighbourhood analysis, buffering, masks and filtering.
4. Multiple layer spatial operations: overlay analysis and geoprocessing operations.
5. Conceptual design of data models and geographic modelling: geographic modelling concepts and
flowcharts design including map algebra operations.
6. Hydrological modelling and Cost Distance Modeling.
7. Future perspectives: new spatial data models, new models for spatial relations and new spatial analysis processes.
2. Spatial data models: detailed analysis of vectorial model, raster model and other data models.
3. Single layer spatial operations: neighbourhood analysis, buffering, masks and filtering.
4. Multiple layer spatial operations: overlay analysis and geoprocessing operations.
5. Conceptual design of data models and geographic modelling: geographic modelling concepts and
flowcharts design including map algebra operations.
6. Hydrological modelling and Cost Distance Modeling.
7. Future perspectives: new spatial data models, new models for spatial relations and new spatial analysis processes.
Teaching Methods
The teaching method is based on the presentation of theoretical concepts and associated practical application methodologies.
The teaching method thus integrates 3 fundamental dimensions:
1 - Presentation of theoretical concepts and associated methodologies, in particular integrating a historical perspective of their evolution and the discussion of potential future developments;
2 - Carrying out theoretical-practical classes, in close connection with the theoretical concepts presented and carrying out application exercises considered most appropriate to the training for which it is intended;
3 ? Conducting Practical and Laboratory classes for the development of methods developed in Theoretical-Practical classes, aiming to experiment new methods, notably in the generation of exploratory spatial metrics.
Tutorial guidance sessions are held.
The teaching method thus integrates 3 fundamental dimensions:
1 - Presentation of theoretical concepts and associated methodologies, in particular integrating a historical perspective of their evolution and the discussion of potential future developments;
2 - Carrying out theoretical-practical classes, in close connection with the theoretical concepts presented and carrying out application exercises considered most appropriate to the training for which it is intended;
3 ? Conducting Practical and Laboratory classes for the development of methods developed in Theoretical-Practical classes, aiming to experiment new methods, notably in the generation of exploratory spatial metrics.
Tutorial guidance sessions are held.
Assessment
Two assessment regimes are used: continuous assessment; final assessment.
Continuous assessment regime ? The student must undertake two assessment periods during the academic period:
1 ? Attendance test or written test, with a weight of 50% in the final grade;
2 ? Final work (in groups) describing geographic spatial analysis processes, with a weight of 50% in the final grade.
Final assessment regime ? The student must take a final exam, during the assessment period, in a normal period or in an appeal period.
Students who opt for the continuous assessment regime can only be assessed again during the appeal period.
Continuous assessment regime ? The student must undertake two assessment periods during the academic period:
1 ? Attendance test or written test, with a weight of 50% in the final grade;
2 ? Final work (in groups) describing geographic spatial analysis processes, with a weight of 50% in the final grade.
Final assessment regime ? The student must take a final exam, during the assessment period, in a normal period or in an appeal period.
Students who opt for the continuous assessment regime can only be assessed again during the appeal period.
Teaching Staff
- Nuno Alexandre Gouveia de Sousa Neves [responsible]
- Nuno Alexandre Gouveia de Sousa Neves [responsible]
Certificações
