Mathematical model used in decision-making process with respect to the reliability of geodatabase
|Year of publication
|Article in Proceedings
|Studies in Computational Intelligence.
|MU Faculty or unit
|Earth magnetism, geography
|decision making process; geospatial data; GIS; mathematical modelling; quality assessment; reliability; utility value
|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