General Cartography


Introduction (cartography and earth sciences, the concept of cartography, principles of cartography, map definition, map classification). History of cartography. Cartographic data (nature of cartographic data, data sources data acquisition, data analysis). Elements of mathematical cartography (physical earth surface and projection on plane, principles of maps projections, study of map distortions, basic map projections). Cartographic visualisation. The concept of color in cartography. Cartographic generalisation. Topographic relief presentation. Map composition. Name placement. Map production. Measurements from maps (length, angle, area, volumes, accuracy issues). Greek cartographic publications and organisations.
Thematic Mapping

Semester: 6th

Introduction (basic principles, classification of thematic maps, spatial information and cartographic language, visual variables, visual perception). Thematic data (data sources, geo-reference, nature of thematic data, accuracy issues, absolute-derived values). Data processing (data classification, statistical processing, spatial interpolation). Methods of data representation (qualitative data, quantitative data, isarithmic mapping, choropleth mapping, oblique views, cartograms, dot maps, topological transformations). Representation of spatial relationships. Diagrams. Atlases. Thematic maps and multi-media. Thematic map composition and production.
Analytical Mapping

Semester: 4th

Introduction. Physical earth surface-geoid-ellipsoid. Geographical co-ordinates. Plane co-ordinates. Principles of map projections. Study of map distortions. Study of map projections (cylindric, conic, azimuthal). Greek cartographic systems. Transformations between cartographic systems. Measurements from maps-cartometry (measurements of length-area, error analysis, data reduction, statistical sampling and cartography). Interpolation methods (one-dimensional interpolation, two-dimensional interpolation, digital terain models, data smoothing, hill shading algorithms). Geometrical transformations. Polygon transformations. Data structure transformations. Line simplification algorithms.
Digital Mapping

Semester: 7th

Introduction (basic principles, the impact of technology in cartography). Data structures (data models, vector-raster data structures, raster to vector conversion). Data collection (digitisation from paper maps, manual-automated digitisation, data editing). Cartographic database design (user needs assessment, logical design, normalisation, physical design, map library, networks of cartographic databases, accuracy and errors issues). Algorithms for cartographic generalisation (data reduction algorithms, knowledge-based generalisation systems). Digital data representation (digital mapping, the color and computer display, color separation, cartographic applications and multi-media, electronic map-atlas). Cartographic data exchange.
Principles of GeoInformation and GIS

Semester: 4th

The scope of the course is to introduce the students to the basic elements of Geoinformation and Geographic Information Systems (GIS). The course is designed in such way to:
  •  Familiarize the students with concepts of space and to provide elementary knowledge of GIS use and development, including data models, data collection, data structures, data representation and cartographic principles.
  • Associate the technological capabilities of GIS with spatial analysis needs and decision making.
  • Let the students practice with GIS software, putting emphasis on database design, data mining and spatial analysis
The laboratory staff actively participates to many NTUA post-graduate programs. One of the most important is the Post-Graduate Studies on Geoinformation