Please note! Course description is confirmed for two academic years (1.8.2018-31.7.2020), which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.


The student comprehends basic theories of object and field based spatial data models, the role of spatial relationships and the related concepts of uncertainty.
The student can select appropriate object and field data models for various environmental applications.
The student comprehends the elementary spatio-statistical analysis methods and the special requirements in analyzing spatial data (examples: spatial autocorrelation, interpolation, graph analysis, raster based analysis).
The student can perform elementary spatial analyses on environmental data.
The student can select the appropriate visualization methods for presenting environmental data and prepare a good map.
The student comprehends the role of geoinformatics as a field of science and its relationships to environmental and natural sciences.
The student can explain the basics of spatial referencing by coordinate systems and projections and recognizes the basic principles, technologies and applicability of geodetic positioning, remote sensing, laser scanning and photogrammetry.

Credits: 5

Schedule: 13.01.2021 - 26.02.2021

Teacher in charge (valid 01.08.2020-31.07.2022): Jussi Nikander

Teacher in charge (applies in this implementation): Jussi Nikander

Contact information for the course (applies in this implementation):

CEFR level (applies in this implementation):

Language of instruction and studies (valid 01.08.2020-31.07.2022):

Teaching language: English

Languages of study attainment: English


  • Valid 01.08.2020-31.07.2022:

    This course deals with the specialties of spatial phenomena and objects from the point of view of modeling, analyzing and visualization in environmental applications. The course offers introduction to spatial referencing by coordinate systems and projections as well as the basic methods of geodetic positioning, remote sensing, laser scanning, and photogrammetric measurements. Course introduces the basic theory of object and field based spatial data models and the spatial relationships, elementary spatio-statistical analysis methods and most important visualization techniques. The course includes computer class exercises.

Assessment Methods and Criteria
  • Valid 01.08.2020-31.07.2022:

    Lectures and assignments, grading based on assignments and exam

  • Valid 01.08.2020-31.07.2022:

    Lectures 11 x 2 h, assignments 63 h (mainly teamwork), individual studying 50 h


Study Material
  • Valid 01.08.2020-31.07.2022:

    To be announced

  • Valid 01.08.2020-31.07.2022:

    Recommended: C module of ENG-A1001 Computer-aided tools in engineering

SDG: Sustainable Development Goals

    11 Sustainable Cities and Communities

    13 Climate Action

    15 Life on Land



Registration and further information