548-0019/08 – Sources of Spatial Data (ZPD)
Gurantor department | Department of Geoinformatics | Credits | 4 |
Subject guarantor | doc. RNDr. Pavel Švec, Ph.D. | Subject version guarantor | doc. RNDr. Pavel Švec, Ph.D. |
Study level | undergraduate or graduate | Requirement | Compulsory |
Year | 1 | Semester | summer |
| | Study language | Czech |
Year of introduction | 2021/2022 | Year of cancellation | |
Intended for the faculties | HGF | Intended for study types | Bachelor |
Subject aims expressed by acquired skills and competences
The purpose of the subject is to familiarize students with the questions in the range that will allow them to apply their knowledge and skills for basic manipulation with spatial data and for their decision making about the selection of appropriate sources while solving practical assignments of certain thematic solutions.
Teaching methods
Lectures
Tutorials
Summary
The student acquires necessary range of knowledge about the sources of spatial data used in the field of geoinformation technologies. The course is focuses on an overview of the available data resources of the state and the commercial spatial data and their suitability for different application areas. Students will be familiar with the main datasets for the area of vector, raster and elevation data. The lectures include knowledge of current legislation, standards and directive related to spatial data. During the exercise students will learn basic spatial data manipulation, data import, digitizing analogue data and their registration into the coordinate system.
Compulsory literature:
ANSELIN, L., REY, S.J. ed. 2010: Perspectives on spatial data analysis. Berlin: Springer.
DEVILLERS, R., JEANSOULIN, R., 2010: Fundamentals of Spatial Data Quality, John Wiley & Sons.
KRAAK, M.J., ORMELING, F.J. 2011: Cartography: visualization of spatial data. 3rd ed. New York: Guilford Press.
NOGUERAS-ISO, J., ed. 2005: Geographic information metadata for spatial data infrastructure. Springer.
Recommended literature:
MONMONIER. M. 2018: How to Lie with Maps. 3rd ed. The University of Chicago Press. 256 p.
TYNER, J.A. 2010: Principles of map design. New York: Guilford Press. 259 p.
MAGUIRE, D.J., BATTY, M., GOODCHILD, M.F. ed. 2005: GIS, spatial analysis, and modeling. Redlands: ESRI Press. 480 p.
DUCKHAM, M., GOODCHILD, M.F., WORBOYS, M. ed. 2003. Foundations of geographic information science. London: Taylor & Francis.
Way of continuous check of knowledge in the course of semester
Students are asked about knowledge from areas that they should have already known from previous lessons. They also work on individual tasks. The exam is oral.
E-learning
Other requirements
No additional requirements are imposed on the student.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1) Spatial data resources, formats
2) Classification of spatial data resources, metadata
3) Spatial data manipulations in GIS.
4) State Spatial data resources (national) – ČÚZK I.
5) State Spatial data resources (national) – ČÚZK II.
6) State Spatial data resources (national) – VGHMÚř
7) Commercial Spatial data resources.
8) Thematic data
9) Spatial data in public administration
10) Registrs and census data
11) Web maps
12) International spatial data sources
13) Technical standardization and harmonization, legal regulations for GIT.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction