<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Spatial data are used not only for basic orientation in space but also as data for solving tasks connected with actual decisions, e.g. geographic impact on combat and non-combat army activities in given environments, predictions of landscape damage under extreme meteorological conditions or emergencies, in cases of military threats to the state, etc. in many tasks the source data are combined and based on mathematically or procedurally described processes, new data are created. Currently, computer equipment, geographic information systems (GIS), remote sensing, computer cartography, etc. in the hands of professionals, along with expert systems, can help much faster, more reliable and more efficient leadership of crisis management. When employing spatial data and information in decision-making processes, complex knowledge of their values is the prerequisite for assessing the credibility and accuracy of decisions made. By implementing the methods of value analysis and mathematical modeling it is possible to create an assessment system of spatial data complex usability. By comparing costs necessary for different variants of enhancement or for adjustment of database quality it is possible to optimize both the total usability and the costs put in securing the required data quality. Paper describes one possible way of creation of cost map.</p></abstract>

Spatial data are used not only for basic orientation in space but also as data for solving tasks connected with actual decisions, e.g. geographic impact on combat and non-combat army activities in given environments, predictions of landscape damage under extreme meteorological conditions or emergencies, in cases of military threats to the state, etc. in many tasks the source data are combined and based on mathematically or procedurally described processes, new data are created. Currently, computer equipment, geographic information systems (GIS), remote sensing, computer cartography, etc. in the hands of professionals, along with expert systems, can help much faster, more reliable and more efficient leadership of crisis management. When employing spatial data and information in decision-making processes, complex knowledge of their values is the prerequisite for assessing the credibility and accuracy of decisions made. By implementing the methods of value analysis and mathematical modeling it is possible to create an assessment system of spatial data complex usability. By comparing costs necessary for different variants of enhancement or for adjustment of database quality it is possible to optimize both the total usability and the costs put in securing the required data quality. Paper describes one possible way of creation of cost map.

Geospatial Data Reliability, Their Use In Crisis Situations

University of Defence, Brno, Czech Republic

International conference KNOWLEDGE-BASED ORGANIZATION

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Geospatial Data Reliability, Their Use In Crisis Situations"}

Spatial data are used not only for basic orientation in space but also as data for solving tasks connected with actual decisions, e.g. geographic impact on...

Geospatial Data Reliability, Their Use In Crisis Situations

Online veröffentlicht: 24. Nov. 2015

Seitenbereich: 694 - 698

DOI: https://doi.org/10.1515/kbo-2015-0117

Schlüsselwörter
spatial data, quality assessment, crisis situation, geospatial data reliability, mathematical model

© 2015 Šárka Hošková-Mayerová, published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Geospatial Data Reliability, Their Use In Crisis Situations

Online veröffentlicht: 24. Nov. 2015

Seitenbereich: 694 - 698

DOI: https://doi.org/10.1515/kbo-2015-0117

Schlüsselwörterspatial data, quality assessment, crisis situation, geospatial data reliability, mathematical model

© 2015 Šárka Hošková-Mayerová, published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
spatial data, quality assessment, crisis situation, geospatial data reliability, mathematical model