Automation of the map generalization process 1900-3-AGM-KT-W
The scope of the lectures includes:
- introduction to the generalization of geographic information,
- discussion of the basic generalization models: Ratajski model, Brassel and Weibel model, Shea and McMaster model.
-generalization of the digital landscape model and digital cartographic model (DLM and DCM). O
- classifications of operators, algorithms and parameters of generalization.
- multiresolution databases - MRDB.
The scope of the labs includes:
-formalization of cartographic generalization rules based on map specifications,
- knowledge base elaboration,
- generalization of the database content,
- visualization of spatial data in a GIS environment,
- performing the necessary spatial and attribute analysis
-selection of operators, algorithms and parameters of generalization.
-implementing generalization operators with the usage of Model Builder functionality.
Student workload: 3 ECTS = 3 × 25h = 75h (in direct contact 2 ECTS)
(N) - work in direct contact with the teacher,
(S) - student's own (independent) work.
Classes (lecture) = 15h (N)
Classes (exercises) = 15h (N)
- Project consultation = 15h (N)
- Credit for exercises, lecture test, exam = 5h (N)
- Preparation (independent) for the exam = 10h (S)
- Analytical work = 5h (S)
- Project work = 10h (S)
TOTAL = approx. 75h
Type of course
Prerequisites (description)
Course coordinators
Mode
Learning outcomes
Field of study outcomes: K_W08, KW_09, K_W14, K_U01, K_K04
Specialty outcomes: S5_W12, S5_W14, S5_U01, S5_K03
KNOWLEDGE:
1. Knows and understands the basic issues of geographic information theory.
2. Knows and understands the basics of spatial information infrastructures
and applications of geoinformatics tools.
3. Knows the latest trends in the development of scientific research in Poland and abroad and the applications of scientific achievements in the practice of economic geography and spatial management.
4. Knows and understands advanced methods of spatial data acquisition
SKILLS:
1. Is able to use theoretical knowledge to describe and solve a research problem.
COMPETENCES:
1. Is ready to assess the risks arising from working conditions, demonstrates
responsibility for the safety of his own work and that of others and for the realization of the work and commitments undertaken.
Assessment criteria
The course ends with written test assessment and project assessment.
The final evaluation of the course includes an assessment of the
project (50%) as well as the assessment of the written test (50%).
Attendance at exercises is obligatory. The student has the right to one unexcused absence during classes. The student should do this
exercise on his own and send an e-mail or show the results to the lecturer in one week time.
Bibliography
1. Longley P.A., Goodchild M.F., Maguire D.J., Rhind D. W. 2006, GIS. Teoria i praktyka. Warszawa, Wydawnictwo Naukowe PWN.
2. System informacji topograficznej kraju, 2005, Oficyna Wydawnicza Politechniki Warszawskiej.
3. Tomlinson R. 2008, Rozważania o GIS. Warszawa, ESRI Polska Sp. Z o.o.
4. J. A. Tyner. 2010, Principles of map design. New York, The Guilford Press.
5. Robinson, R. Sale, J. Morrisom Podstawy kartografii, PWN, Warszawa, 1988.
6. W. Ostrowski, 2008, Semiotyczne podstawy projektowania map topograficznych na przykładzie zabudowy, Uniwersytet Warszawski, Wydział Geografii i Studiów Regionalnych, Warszawa.
7. Chrobak T., 2007, Podstawy cyfrowej generalizacji kartograficznej, Uczelniane Wydawnictwa Naukowo-Dydaktyczne, Kraków.
8. Mackaness W., Ruas A., Sarjakoski T., 2007, Generalisation of Geographic Information. Cartographic Modelling and Applications, Elsevier.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: