Abstract
Until DGI became widely used, commanders and staff got information about the area of activity first of all from paper models of landscape, i.e. from maps. International Cartographic Association (ICA) defines a map as (ICA in International Cartographic Association. Retrieved July 2014, from International Cartographic Association: http://icaci.org/mission/, 2014): “A map is a symbolized representation of geographic reality, representing selected features or characteristics, resulting from the creative effort of its author’s execution of choices, and is designed for use when spatial relationships are of primary relevance.” The efficiency of decision-making processes using maps has always been significantly influenced by their quality. Quality prepared and up-to-date maps enable to get detailed information about the area of activity that is necessary for making optimal decisions. For the needs of decision-making processes, there are maps published that correspond to the given needs, e.g. units of integrated rescue systems or armed forces, and they are usually produced by state organizations that guarantee its constant quality and regular updating.
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References
ArcGIS. (2015). ArcGISHelp. Retrieved from www.esri.com.
Brown, J. D., & Hauvelink, G. M. (2007). The Data Uncertainty Engine (DUE): A software tool for assessing and simulating environmental variables. Computers & Geosciences, 33(2), 172–190.
CUZK. (2018). (State Administration of Land Surveying and Cadastre, Land Survey Office). Retrieved 10 2017, from Geoportal CUZK—Access to map products and services: http://geoportal.cuzk.cz/.
Davvaz, B., & Cristea, I. (2015). Fuzzy algebraic hyperstructures. Studies in Fuzziness and soft computing, 321.
DGIWG-103. (2008). Digital Geographic Information Exchange Standard (DIGEST)—Metadata Profile of ISO19115 and ISO 19139 (2.0.0—16 December 2008 ed.). DGIWG. Retrieved from https://www.dgiwg.org/dgiwg/.
DGIWG-500. (2010). Implementation guide to the DGIWG Feature Data Dictionary (DFDD) (2.2.2—19 July 2010 ed.). DGIWG.
Esri. (2013). ArcGIS user documentation. Copyright © 1995–2013 Esri.
Fotheringham, A. S. (2000). Spatial models and GIS. London: Taylor & Francis.
Hoskova, S., & Cristea, I. (2010). Fuzzy pseudotopological hypergroupoids. Iranian Journal of fuzzy sets, 4(6), 11–19.
Hubacek, M., Kovarik, V., & Kratochvil, V. (2016). Analysis of influence of terrain relief roughness on DEM accuracy generated from LIDAR in the Czech Republic territory. In International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, XLI-B4 (Vol. 41, pp. 25–30). Prague: ISPRS. https://doi.org/10.5194/isprsarchives-xli-b4-25-2016.
ICA. (2014). International Cartographic Association. Retrieved July 2014, from International Cartographic Association: http://icaci.org/mission/.
INSPIRE. (2011). European Commission—INSPIRE. (European Commission) Retrieved 12 23, 2011, from European Commission—INSPIRE: http://inspire.jrc.ec.europa.eu/index.cfm.
ISO. (2006). ISO 19138—geographic information—data quality measures. Retrieved 2011, from ISO—Interational Organization for Standardization: http://www.iso.org/iso/catalogue_detail.htm?csnumber=32556.
ISO. (2013). ISO 19157:2013 geographic information—data quality. Retrieved from International Organization for Standardization: https://www.iso.org/standard/32575.html.
ISO. (2017). ISO/TC 211 geographic information/geomatics. Retrieved from International Organization for Standardization: https://www.iso.org/committee/54904/x/catalogue/.
Jacobsson, A., & Giversen, J. (2007). Eurogeographics. Retrieved 2009, from http://www.eurogeographics.org/documents/Guidelines_ISO19100_Quality.pdf.
JRC. (2010). INSPIRE data specification on hydrography—guidelines. Retrieved 11 2011, from EU—INSPIRE–INSPIRE Registry: http://inspire.jrc.ec.europa.eu/documents/Data_Specifications/INSPIRE_DataSpecification_HY_v3.0.1.pdf.
JRC. (2011). Data specification on natural risk zones—draft guidelines. Retrieved 2012, from EU—INSPIRE–INSPIRE Registry: http://inspire.jrc.ec.europa.eu/documents/Data_Specifications/.
Kratochvíl, V. (2000). Geodetic networks—application of the least squares method and the transformation of coordinates (in Czech). Brno: Military Academy.
Kresse, W., & Danko, D. M. (2012). Handbook of geographic information. Berlin Heidelberg: Springer. https://doi.org/10.1007/978-3-540-72680-7..
Kubíček, P., Šašinka, Č., Stachoň, Z., Štěrba, Z., Apeltauer, J., & Urbánek, T. (2017). Cartographic design and usability of visual variables for linear features. Cartographic Journal, 54(1), 91–102. https://doi.org/10.1080/00087041.2016.1168141.
Lloyd, C. D. (2011). Local models for spatial analysis. Boca Raton: Taylor & Francis LLC.
Longley, P. A., Goodchild, M. J., Maguire, D. J., & Rhind, D. W. (2016). Geographic Information Science and Systems (4th ed.). Wiley.
Maturo, F., Fortuna, F., & Di Battista, T. (2018). Testing equality of functions across multiple experimental conditions for different ability. Social Indicators Research, 1–21.
Miles, L. D. (1989). Techniques of value analysis engineering (3rd ed.). USA: Eleanor Miles Walker.
MoD-GeoS. (2013). Catalogue of the topographic objects DMU25 (7.3 ed.). Dobruska: Ministry of Defence of the Czech Republic, Geographic Service.
Open GIS Consortium (OGC). (2010, October 18). WEB processing service. Retrieved 09 18, 2015, from OGC: Making location count: http://www.opengeospatial.org/standards/wps.
Reznik, T. (2013). Geographic information in the age of the INSPIRE directive: Discovery, download and use for geographical research. Geografie, 118(1), 77–93.
Shekar, S., & Xiong, H. (2008). Encyclopedia of GIS. Berlin: Springer.
Sklenak, V., Berka, P., Rauch, J., Strossa, P., & Svatek, V. (2001). Data, information, knowledge, and internet (data, informace, znalosti a Internet, In Czech). Praha: C.H. Beck.
Snyder, J. P. (1987). Map projections—a working manual. Washington, USA: U.S.Geological Survey.
Štampach, R., Kubíček, P., & Herman, L. (2015). Dynamic visualization of sensor measurements: Context based approach. Quaestiones Geographicae, 34(3), 117–128. https://doi.org/10.1515/quageo-2015-0020.
Talhofer, V. (2007). Elements of map projections (Základy matematické kartografie, In Czech). Brno: Univerzita obrany.
Tomlin, C. D. (1990). Geographic information systems and cartographic modeling. New Jersey: Prentice-Hall Inc.
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Talhofer, V., Hošková-Mayerová, Š., Hofmann, A. (2019). Quality of Digital Geographic Data and Information. In: Quality of Spatial Data in Command and Control System. Studies in Systems, Decision and Control, vol 168. Springer, Cham. https://doi.org/10.1007/978-3-319-94562-0_2
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