Téma ismertetése

  • Általános

    Geoinformatics (BMEEOFTAT43)


    Dr. György Szabó Associate professor, Ervin Wirth Lecturer

    Semester requirements

               Lecture (64%):

            one test 13th education week, - 64%
    one repetition possibilities, to pass: grade > =  25 points

              Lab practice, connected to the lecture (36%):

            finished successful lab project

              Active semester participation (extra 15%):

            Required the active work in labs and lecture

              Final points = 64% test+  36% Lab project  (optional + 15% semester activity)


    0-39: faillure

    40-54: 2 pass

    55-69: 3 satisfactory

    70-84: 4 good

    85-100: 5 excellent


    Our educational YouTube videos:


    Dr. György Szabó
    Ervin Wirth


    • Lecture 1

      Introduction, semester requirements

      • Lecture 2

        Geographic data modelling

        • Lecture 3


          • Lecture 4

            GIS Software

            • Lecture 5

              GIS Data collection I.

              Reviewing the methods of GIS primary and secondary data capture

              • Lecture 6

                GIS Data collection II.

                Reviewing the methods of secondary data capture

                USA NSDI  - National Spatial Data Infrastructure

                EC INSPIRE Directive

                • Lecture 7

                  Geographic data bases

                  Collection and maintenance of mass GIS data

                  • Lecture 8

                    The GeoWEB

                    The lecture describes the current and capabilities in distributed GIS, and looks to a future in which GIS is increasingly mobile and available everywhere -  dealing with distributed data, distributed users, and distributed software.

                    • Lecture 8

                      National Holiday

                      • Lecture 10

                        Cartography and map production

                        The lecture reviews the nature of cartography and the ways that users interact with GIS in order to produce digital and hard-copy reference and thematic maps.

                        • Lecture 11

                          Spatial data analysis

                          The lecture is describing the geographic analysis and modeling methods.
                          Examines methods constructed around the concepts of location, distance, and area.

                          • Lecture 12

                            Managing GIS

                            • Lecture 13

                              Final Test

                              • Lab works