Quality of Geospatial Data

Total Hours in Course81

Number of hours for lectures12

Number of hours for seminars and practical classes12

Independent study hours57

Date of course confirmation15.01.2013

Responsible UnitInstitute of Land Management and Geodesy

Course developer

reserch

Aivars Ratkevičs

Mg. sc. ing.

Course abstract

The aim of study is to create understanding of geospatial data quality definition, evaluation and assurance, to learn quality assurance methods. Study courses provides an overview of ISO standards for Geographic information. the objectives are; to learn the definition of data quality, evaluation and assurance techniques.

Learning outcomes and their assessment

After the end of the course student will have:
• knowledge and understanding of geospatial data quality definition, measurement, evaluation and assurance methods. Knowledge of ISO standards for geographic information - test
• skills to independently define a geospatial data quality dimensions, use geospatial data quality measurement, evaluation and assurance methods - test

• competence of geospatial data quality definition, measurement, evaluation and assurance - test

Course Content(Calendar)

1. Geospatial data, their origin and the role of quality in the use of GIS; (1h)
2. Understanding of basic / general positions of geospatial data quality, spatial (geodetic) and mathematical - geometric accuracy of data; (1h)
3. Correspondence of data models to the local situation and completeness of data, topicality of data, its significance, specific positions of geospatial data quality and their origin; (1h)
4. Quality positions, criteria and expressions for raster data, network data and vector data; (1h)
5. Definition of data quality requirements, measurement principles and practices in geospatial data acquisition and processing processes, sources, types, dimensions and manifestations of errors; (1h)
6. Basics of data quality assurance, methods, techniques, data production technological lines and quality management; (1h)
7. Geospatial data quality assurance planning and development, metadata as data quality information carriers; (1h)
8. Understanding of International Geospatial Information Standards, standards ISO 19113, 19114, 19115, and understanding of INSPIRE - Infrastructure for Spatial Information in Europe, (1h)
9. Development of geospatial information systems in Latvia and data quality, Latvian legislation and geospatial data quality requirements; (1h)
10. Independent acceptance, determination and evaluation of the quality of geospatial data; (1h)
11. Data quality assessment principles and methods, techniques and processes, universal data set quality assessment solutions, (1h)
12. Quality assessment of raster data, network data and vector data and determination of suitability for use; (1h)

Practical works:
1. Determination of geodetic, mathematical accuracy of geospatial data (2h)
2. Determining the conformity of geospatial data to the local situation - completeness of data; (2h)
3. Actuality assessment of geospatial data (2h)
4. Searching for freely available data on the web Searching for their quality indicators - based on the information available on the data supply site. (2h)
5. A new data set created from the individually selected data sets - with the transformation of the scale of use and at the end of the work, the determination and design of the new (obtained) quality parameters performed. (2h)
6. The case of laboratory work is formed from the previously performed practical work

Requirements for awarding credit points

Test with a mark

Description of the organization and tasks of students’ independent work

Independent work related to the practical works - acquiring additional knowledge (studying literature, searching for information on websites) and practical experience for the successful solution of specific tasks.

Criteria for Evaluating Learning Outcomes

The test is taken in writing (after the ticket) and orally - by answering questions;
The following shall be admitted to the test:
- The work of the course on quality control, comparison and determination of geospatial data has been developed and presented.

Compulsory reading

1. Devillers R., Jeansoulin R. Fundamentals of Spatial Data Quality, ISTE Ltd, 2006. 309 lpp.
2. Envirotech, Ģeogrāfiskās informācijas sistēmas. [tiešsaiste]. [skatīts 11.02.2013.] Pieejams: http://www.gis.lv/
3. Veregin H. Data Quality Measurement and Assessment, NCGIA Core Curriculum in Geogephic Information Science Envirotech. [tiešsaiste]. [skatīts 11.02.2013.] Pieejams: http://www.ncgia.ucsb.edu/giscc/units/u100/u100_f.html

Notes

Academic master's study program "Environmental, Water and Earth Engineering" full- time studies

Atsauksmes