Abstract
The first aim of the article is to show how it is possible - thanks to the use of sophisticated analytical tools for evaluation of data quality - to better understand geospatial data. Another aim is to assess the impact of data quality on the results of space analyses that are made of them and that are the basis for such decision-making processes, in which it is necessary to take into account the impact of geographical environment.
Organizations that are engaged in creating geospatial databases usually define the content of these databases (i.e. listing of geographical objects and their features) and quality of the data being saved (e.g. geometric, topological and thematic accuracy, level of standardization etc.). As the area of the land that is described with the use of geospatial data is usually significantly larger than the capacity and technological possibilities of the responsible organization, it is not possible to keep the defined content and its quality in the entire secured area on the same level. When creating the geospatial analysis it is therefore necessary to take into account the immediate quality level of data in the particular area and to have the technologies for finding out the reliability of the result of the particular analysis available. From the real practice a request of commanders is known, that is to have not only the result of their own analysis available as basics for their qualified decision (decision-making process) but also relevant information about its reliability.
The authors of the article have quite good experience from the preparation of digital geospatial data for decision-making processes in the armed forces and within the scope of the described research they have available a large quantity of real geospatial data (current as well as historical), on which they are doing their own research focused on the mathematical modeling and evaluation.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
DGIWG-500. Implementation Guide to the DGIWG Feature Data Dictionary (DFDD) (2.2.2 - July 19, 2010 ed.). DGIWG (2010)
Jacobsson, A., Giversen, J.: Eurogeographics (2007), http://www.eurogeographics.org/documents/Guidelines_ISO19100_Quality.pdf (retrieved 2009)
Konečný, M., Kubíček, P., Staněk, K.: Mezinárodní standardizační aktivity v oblasti prostorově orientovaných informačních systémů. In: Sborník příspěvků Konference Geomatika, vol. 98, pp. 35–41. CAGI, Praha (1998)
MoD-GeoS, Catalogue of the Topographic Objects DLM25 (7.3 ed.). Ministry of Defence of the Czech Republic, Geographic Service, Dobruska (2010)
MTI. Catalogue of the Topographic Objects DLM25 (4 ed.). Military Topographic Institute, Dobruska (2005)
Rybanský, M.: Cross-Country Movement, The Imapct And Evaluation Of Geographic Factors, 1st edn. Akademické nakladatelství CERM, s.r.o. Brno, Brno, Czech Republic (2009)
Shi, W.: Principles of Moddeling Uncertainties on Spatial Data and Spatial Analysis. CRC Prass, Taylor and Francis Group, Boca Raton (2010)
Talhofer, V., Hofmann, A.: Possibilities of evaluation of digital geographic data quality and reliability. In: 24ht International Cartographic Conference, The World’s Geo-Spatial Solutions, ICA/ACI, Santiago de Chilie (2009)
Talhofer, V., Hoskova, S., Hofmann, A., Kratochvil, V.: The system of the evaluation of integrated digital spatial data realibility. In: 6th Conference on Mathematics and Physics at Technical Universities, pp. 281–288. University of Defence, Brno (2009)
Tate, J.: Open standards the Gateway to Interoperability? GEOINT Summit 2010. Jacobs Flaming Conferences, Vienna (2010)
Tatra, A.: Tatra is the solution, TATRA (2010), http://partners.tatra.cz/exter_pr/vp/new/typovy_listprospekt.asp?kod=341&jazyk=CZ (retrieved May 17, 2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Hošková-Mayerová, Š., Talhofer, V., Hofmann, A., Kubíček, P. (2013). Mathematical Model Used in Decision-Making Process with Respect to the Reliability of Geodatabase. In: Proto, A., Squillante, M., Kacprzyk, J. (eds) Advanced Dynamic Modeling of Economic and Social Systems. Studies in Computational Intelligence, vol 448. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32903-6_11
Download citation
DOI: https://doi.org/10.1007/978-3-642-32903-6_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32902-9
Online ISBN: 978-3-642-32903-6
eBook Packages: EngineeringEngineering (R0)