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Syllabus 2020-21 - 13212017 - Map Production (Producción cartográfica)
- Level 1: Tutorial support sessions, materials and exams in this language
- Level 2: Tutorial support sessions, materials, exams and seminars in this language
- Level 3: Tutorial support sessions, materials, exams, seminars and regular lectures in this language
DEGREE: | Grado en Ingeniería geomática y topográfica |
FACULTY: | SCHOOL OF ENGINEERING OF JAÉN |
ACADEMIC YEAR: | 2020-21 |
COURSE: | Map Production |
NAME: Map Production | |||||
CODE: 13212017 | ACADEMIC YEAR: 2020-21 | ||||
LANGUAGE: English | LEVEL: 1 | ||||
ECTS CREDITS: 6.0 | YEAR: 3 | SEMESTER: SC |
NAME: GARCÍA BALBOA, JOSÉ LUIS | ||
DEPARTMENT: U119 - INGENIERÍA CARTOGR. GEODESICA Y FOTOGRAM | ||
FIELD OF STUDY: 505 - INGENIERÍA CARTOGRÁFICA, GEODÉSICA Y FOTOGRAMETRÍA | ||
OFFICE NO.: A3 - 343 | E-MAIL: jlbalboa@ujaen.es | P: 953 212844 |
WEBSITE: - | ||
ORCID: https://orcid.org/0000-0002-3109-5888 | ||
LANGUAGE: English | LEVEL: 1 |
UNIT 1. General processes in digital cartographic production.
- Introduction.
- Products, services and actors.
- Life-cycle and product data
- Model for quality production
- Modeling with UML activities
UNIT 2. Process control in cartographic production and GIS.
- Introduction.
- Propagation of uncertainty.
- Digitization.
- Georeferencing.
- Vectorization and rasterization.
- Interpolation.
- Overlay and map algebra.
- Other Operations.
- Probalilistic model.
UNIT 3. Generalization of spatial data
- Introduction.
- Conceptual Models.
- Generalization of the model and the data.
- Generalization of vector data.
- Generalization of raster data.
- Generalization of DEM.
- Generalization of Place Names.
- Examples.
UNIT 4. Data Integration
- Introduction
- Model conceptual.
- General process and case analysis.
- Spatial transformations.
- Detection counterparts.
- Similarity of geometries.
- Integration semantics.
- Integration of networks.
UNIT 5. Introduction to quality. Spatial data quality.
- Introduction.
- Factors and quality costs.
- Quality Management.
- ISO standards on spatial data quality (19157).
UNIT 6. Evaluation of quality components and Spatial data.
- Introduction.
- Evaluation of the components (position, subject,completion, time, cosistencia, etc..).
- Reporting quality as metadata or standalone quality report.
UNIT 7. Printing maps.
- Introduction.
- Media and inks.
- Halftone.
- Analog technologies.
- Digital Technologies.
- 3D-printing.
- Electronic Publishing.
ACTIVITIES FOR PRACTICES
- Practical exercises of Unit #1
- Practical exercises of Unit #2
- Practical exercises of Unit #3
- Practical exercises of Unit #4
- Practical exercises of Unit #5
- Practical exercises of Unit #6
- Practical exercises of Unit #7
Lectures.
Practical
and exercise sessions with software tools.
Students with special educational needs should contact the Student Attention Service (Servicio de Atención y Ayudas al Estudiante) in order to receive the appropriate academic support
The final grade is computed from the following weighting:
- 60% of a multimodal examination corresponding to theory (60%) and applied part (40%).
- 40 % for practices.
To proceed with the evaluation of the examination is prerequisite the previous delivery of the practices
To pass the course each of the parts must be approved.
-
Fundamentos de Producción Cartográfica. Edition: -. Author: Ariza-López, Francisco J.; García-Balboa, José L.. Publisher: Universidad de Jaén.
- Notes: Publication developed by the teachers of this subject
- Algorithmic foundation of multi-scale spatial representation. Edition: -. Author: Li, Zhilin. Publisher: Boca Raton [etc.]: CRC Press, 2006. (Library)
-
ISO 19157:2013. Geographic information -- Data quality. Edition: -. Author: -. Publisher: ISO.
- Notes: International Standard
- Fundamentals of spatial data quality. Edition: -. Author: -. Publisher: London: ISTE, 2007 (Library)
Unchanged from face-to-face teaching.
Unchanged from face-to-face teaching, with the exception of the replacement of every face-to-face activity by an online activity with videoconference.
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Data recipients (transfers or assignments): Any person allowed to get access to every teaching modality
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