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Spatial Analysis and Georeferenced Information

Code 15212
Year 4
Semester S2
ECTS Credits 5
Workload PL(45H)/T(15H)
Scientific area Ciências da Representação
Entry requirements n.a.
Learning outcomes This CU aims to prepare the student with theoretical and practical knowledges on the domain of graphical
representations and spatial analysis of georeferenced information of diversified sources. This allows the decision
making process to be technically based but also to promote and optimize management of territory, systems and
infrastructures and evaluate evolving scenarios.
The following competencies will be developed during the curricular unit:
? A) Mastering data acquisition, processing and spatial analysis techniques for diagnostic, planning, design and
management.
? B) Understanding the objectives and functionalities of geographic information systems.
? C) Understanding the main formats of digitally integrated spatial data.
? D) Recognition of different tools for advanced spatial analysis available in GIS software and its potential in different
areas of Architecture.
Syllabus Evolution of Geographic Information Science. Geographic Information Systems.
Geographical reference systems: coordinate systems; geoid concept; ellipsoidal geodetic systems; global and local
datum; cartographic projections and coordinate transformation.
Image and geographical data models: vector and raster.
Geographical database (GDB): fundamentals; hierarchical, network and relational data models; operations in GBD;
database management systems.
Graphic and alphanumeric data acquisition and processing: data type; public data; joining, structuring and export /
output data; quality analysis.
Vector spatial analysis basic operations: measurements, inquiries, neighbourhood analysis, overlapping.
Graphical representation of georeferenced information.
Remote sensing and digital terrain models.
WebGIS, mobile GIS and process automation. BIM.
Stereo Imaging and laser scanning 3D imaging systems.
Case studies for Architecture.
Main Bibliography Matos J., 2011, Fund. de Inf. Geográfica. 6ª ed. Lisboa, Lidel.
Cosme, A., 2012, Projeto em SIG. Lisboa, Lidel.
Cavaleiro V., Almeida P.G., Santos B., Riscado J., Gonçalves J., 2015, Sebenta de apoio às aulas TP: ArcGis 10.x, UBI
ESRI, 2015, The ArcGis Book, ESRI Press, California. (http://learn.arcgis.com/en/arcgis-book/)
Heywood I., et. al., 2011, An Introduction to GIS
Chang, K., 2012, Introduction to GIS, 6th ed., MacGraw-Hill
Longley P., et al., 2010, GIS and Science, 3rd ed., John Wiley & Son
Law M., Collins A., 2015. Getting to Know ArcGIS. 4th edition. ESRI Press, 2015.
Bolstad P. 2016. GIS Fundamentals: A First Text on GIS. 5th edition. XanEdu Publishing Inc, 2016.
http://video.esri.com/watch/1706/editing-in-arcmap-an-introduction
http://video.esri.com/watch/1661/3d-analyst-3d-virtual-cities
http://video.esri.com/watch/1830/developing-with-esri-cityengine
Teaching Methodologies and Assessment Criteria Assessment type: Continuous
ETP practical work (4 points)
Practical works 1 and 2.
Knowledge Assessment Test during the TAC semester (16 points)
Composed of the following partials:
Theoretical part (PT= 9 values)
Practical Part (PP= 7 values)
Assessment dates:
Work 1: March 31
Work 2: April 28
Written Assessments:
Theory test: May 20th (during theory class time)
Practical test: May 26/27 (during practical laboratory shifts)
Teaching-learning classification (CEA) / weighting coefficients:
The teaching-learning classification (CEA) is obtained by CEA= ETP+TAC, with the result rounded to the nearest whole number.
To be granted attendance, the student must:
Have attendance equal to or greater than 80% in each of the types of classes in the Curricular Unit, which corresponds to 10 theoretical classes and 10 practical laboratory classes.
Deliver practical work within the defined deadline.
Minimum CEA rating of 6 val
Language Portuguese. Tutorial support is available in English.
Last updated on: 2025-02-25

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