Automation of the map generalization process

elective courses

It is advisable that the student has completed a course map design.

Classroom

Students learn the principles of editing, in particular generalization of maps and spatial data in the selected computer programs GIS (ex. ArcGIS).

The scope of the course includes designing maps (cartographic presentation), in accordance with their purpose and the level of detail.

The source of cartographic visualization are spatial databases, included in the Polish spatial data infrastructure.

Practical use of selected software packages GIS, especially Model Builder functionality.

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.

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.

Field of study outcomes: K_W08, KW_09, K_W14, K_U01, K_K04

Specialty outcomes: S5_W12, S5_W14, S5_U01, S5_K03

Selects and applies optimal methods of analysis and visualization of spatial data.

Can prepare an effective spatial data visualization in the chosen specialty.

Can effectively plan generalization tasks according to the purpose of presentation and detail level.

Can put into practice the principles of graphic map design.

Knows how to properly design the legend of the map.

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.