2023
Spatial Analysis in Archaeology
Name: Spatial Analysis in Archaeology
Code: PAO14686M
6 ECTS
Duration: 15 weeks/156 hours
Scientific Area:
Landscape and Planning Sciences
Teaching languages: Portuguese
Languages of tutoring support: Portuguese, English
Regime de Frequência: Presencial
Presentation
CU essential for those who want to make their specialized research field in Landscape Archaeology
Sustainable Development Goals
Learning Goals
Description and evaluation of the fundamental computational models for the representation and storage of
geographic and archaeological 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 in archaeology.
geographic and archaeological 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 in archaeology.
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. Dimensionality of geographic data: 3-dimensional models and an introduction to time modelling.
6. Conceptual design of data models and geographic modelling: geographic modelling concepts and
flowcharts design including map algebra operations.
7. Network analysis: shortest path analysis, service area, cost distance functions
8. Future perspectives: new spatial data models, new models for spatial relations and new spatial analysis processes in archaeology.
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. Dimensionality of geographic data: 3-dimensional models and an introduction to time modelling.
6. Conceptual design of data models and geographic modelling: geographic modelling concepts and
flowcharts design including map algebra operations.
7. Network analysis: shortest path analysis, service area, cost distance functions
8. Future perspectives: new spatial data models, new models for spatial relations and new spatial analysis processes in archaeology.
Teaching Methods
The teaching methodologies are based on the theoretical and theoretical-practical exposition of concepts and methods, associated with the syllabus and accordingly to the structure of the teaching materials. Practical exercises are carried out in a geographic information systems (GIS) environment, centered on the presentation of applied spatial analysis operations.
Two assessment regimes are used: continuous assessment; final evaluation.
Continuous assessment regime - The student must prepare two assignments during the academic period:
1 - Spatial data models, with a weighting of 30% in the final grade;
2 - Geographic model of spatial analysis processes, with a weighting of 70% in the final grade.
Final evaluation regime - The student must deliver the two assignments referred above simultaneously, during the evaluation period, in normal or appeal period.
Students who choose the continuous assessment regime can only be re-evaluated during the appeal period.
Two assessment regimes are used: continuous assessment; final evaluation.
Continuous assessment regime - The student must prepare two assignments during the academic period:
1 - Spatial data models, with a weighting of 30% in the final grade;
2 - Geographic model of spatial analysis processes, with a weighting of 70% in the final grade.
Final evaluation regime - The student must deliver the two assignments referred above simultaneously, during the evaluation period, in normal or appeal period.
Students who choose the continuous assessment regime can only be re-evaluated during the appeal period.
Assessment
Two assessment regimes are used: continuous assessment; final evaluation.
Continuous assessment regime - The student must prepare two assignments during the academic period:
1 - Spatial data models, with a weighting of 30% in the final grade;
2 - Geographic model of spatial analysis processes, with a weighting of 70% in the final grade.
Final evaluation regime - The student must deliver the two assignments referred above simultaneously, during the evaluation period, in normal or appeal period.
Students who choose the continuous assessment regime can only be re-evaluated during the appeal period.
Students can be evaluated through a final exame.
Continuous assessment regime - The student must prepare two assignments during the academic period:
1 - Spatial data models, with a weighting of 30% in the final grade;
2 - Geographic model of spatial analysis processes, with a weighting of 70% in the final grade.
Final evaluation regime - The student must deliver the two assignments referred above simultaneously, during the evaluation period, in normal or appeal period.
Students who choose the continuous assessment regime can only be re-evaluated during the appeal period.
Students can be evaluated through a final exame.
Teaching Staff
- Nuno Alexandre Gouveia de Sousa Neves [responsible]
Certificações
