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Tytuł artykułu

Spatial Data Infrastructure in Poland – lessons learnt from so far achievements

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Polish spatial data infrastructure dates back 2010, the year when the Spatial Information Infrastructure Act transposing INSPIRE Directive entered into force. The present study provides valuable insight into the current status of Polish spatial data infrastructure (PSDI) as well as lessons learnt from so far efforts in implementing the principles and provisions of the INSPIRE Directive. Particular respect is given to policy, interoperability of data as well as cooperation between actors involved in PSDI establishment and maintenance. Data managed by the Surveyor General (SG), perceived as a backbone of a spatial data infrastructure, are of special importance. Finally, some conclusions and recommendations for further developments are given to foster SDI implementation in Poland. Results of the analysis clearly show that Polish spatial data infrastructure is in line with INSPIRE, and in a half of way being fully operational.
Rocznik
Strony
3--20
Opis fizyczny
Bibliogr. 38 poz., rys., tab., wykr.
Twórcy
autor
  • Military University of Technology Faculty of Civil Engineering and Geodesy 2 gen. W. Urbanowicza St. 00-908 Warsaw 46, Poland
  • 2Institute of Geodesy and Cartography 27 Jacka Kaczmarskiego St. 02-679 Warsaw, Poland
autor
  • 3Marshal Office of the Mazowieckie Voivodship in Warsaw 26 Jagiellonska St., 03-719 Warszawa, Poland
Bibliografia
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  • [2] Arozarena, A., Villa, G., Valcárcel, N. and Pérez, B. (2016). Integration of remotely sensed data into geospatial reference information databases. UN-GGIM national approach. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 41 (B4), 721–725.
  • [3] Bernard, L., Kanellopoulos, I., Annoni, A. and Smits, P. (2005). The European geoportal – one step towards the establishment of a European Spatial Data Infrastructure. Computers, Environment and Urban Systems 29 (2005), 15–31.
  • [4] Bernard, L. and Craglia, M. (2005). SDI – From Spatial Data Infrastructure to Service Driven Infrastructure. 1st ResearchWorkshop on Cross-learning on Spatial Data Infrastructurs (SDI) and Information Infrastructures (II), Enschede (The Netherlands).
  • [5] Bielecka, E. (2015). Geographical data sets fitness of use evaluation. Geodetski vestnik 59(2), 335–348. DOI: http://doi.org/10.15292/geodetski-vestnik.2015.02.335-348.
  • [6] Bielecka, E. (2003). Spatial data usability in the Polish Spatial Information System. Data Science Journal (Spatial Data Usability Special Section) 2, 128–136.
  • [7] Calka, B. and Bielecka, E. (2016). The Application of Geoinformation Theory in Housing Mass Appraisal, 2016 Baltic Geodetic Congress (BGC Geomatics), Gdansk, Poland, 2016, pp. 239–243. DOI: https://doi.org/10.1109/BGC.Geomatics.2016.50.
  • [8] COM. 2016. (478 final/2). Report from the Commission to the Council and the European Parliament on the Implementation of Directive 2007/2/EC of March 2007 Establishing an Infrastructure for Spatial Information in the European Community (INSPIRE) Pursuant to Article 23. http://ec.europa.eu/transparency/regdoc/rep/1/2016/EN/1-2016-478-EN-F1-1.PDF.
  • [9] Country Fiche Poland. 2016. Status of implementation of the INSPIRE Directive – 2016 Country Fiches, https://inspire.ec.europa.eu/sites/default/files/inspirecountryfichepoland_2016.pdf.
  • [10] Craglia, M. and Campagna, M. (2009). Advanced regional spatial data infrastructures in Europe. Ispra, Italy: European Commission, Joint Research Centre. EUR 23716 EN – 2009. DOI: https://doi.org/10.2788/77930.
  • [11] Dukaczewski, D. (2015). Legislative Aspects of the Implementation of the INSPIRE Directive in Poland: The Case of Biodiversity Spatial Data and Services. In Nowak, M. (ed), Scientific, Technological and Legal Background of Creating Integrated Biotic Databases (pp. 21–35), Wydawnictwo UAM: Poznań, Poland.
  • [12] Dukaczewski, D. (2016). Designing Static and Animated Maps for Users from Different Age Groups Dedicated to Electronic Paper Visualization Devices. In T. Bandrova, M. Konecny [ed.] 6th International Conference on Cartography and GIS, vol. S 1 and 2 (pp. 378–385), Albena, Bulgaria. DOI:https://doi.org/10.13140/RG.2.2.33019.92964.
  • [13] Directive 2007/2/EC of the European Parliament and of the Council of 14 March 2007: Establishing an infrastructure for spatial information in the European Community (INSPIRE). Off. J. Eur. Union 2007, 30, 270–283.
  • [14] Fichtinger, A., Rix, J., Schäffler, U., Michi, I., Gone, M. and Reitz, T. (2011). Data Harmonisation Put into Practice by the HUMBOLDT Project. International Journal of Spatial Data Infrastructures Research, 6, 234–260.
  • [15] Friis-Christensen, A., Lutz, M., Ostländer, N. and Bernard, L. (2007). Designing service architectures for distributed geoprocessing: Challenges and future directions. Trans. GIS, 11(6), 799–818.
  • [16] GUGiK. 2012. Strategy for data harmonization in Poland [in Polish: Strategia harmonizacji IIP], http://geoportal.gov.pl/documents/10179/26435/Strategia+Harmonizacji+Infrastruktury+Informacji-+Przestrzennej/321895f7-7f8b-4fe2-b22a-379495e7d9f9?version=1.2.
  • [17] Izdebski, W. (2017). Analysis of the cadastral data published in the Polish Spatial Data Infrastructure. Geodesy and Cartography, 66 (2), 227–240. DOI: http://doi.org/10.1515/geocart-2017-0015.
  • [18] Janczar, E. (2018). Koncepcja przepływu danych przestrzennych w architekturze korporacyjnej państwa. PhD thesis, Military University of Technology, Warsaw.
  • [19] Jaroszewicz, J. and Piotrowska, L. (2016). Implementation of the inspire directive in Poland in the scope of spatial data ‘land use’ theme. Geomatics, Landmanagement and Landscape, 4, 125–157. DOI:http://doi.org/10.15576/GLL/2016.4.125.
  • [20] Klein, U. and Müller, H. (2012). Local Spatial Data Infrastructure, a Solid Base for Sustainable Land Management in Germany. Surveying and Land Information Science, 72 (1), 17–27(11).
  • [21] Kok, B. and Van Loenen, B. (2005). How to assess the success of National Spatial Data Infrastructures? Computers, Environmenten Urban Systems, 29, 699–717.
  • [22] Masser, I. (2009). Changing notion of a Spatial Data Infrastructure. In SDI convergence: Research, Emerging Trends, and Critical Assessment, eds. B. van Loeven, J.W.J. Besemer, J.A. Zavenbergen; NCG Nederlandse Commissie voor Geodesie Netherlands Geodetic Commission (pp. 219–227), Delft, Nederland.
  • [23] Moeller, J. (2010). Spatial Data Infrastructures (SDI) – Challenges and Opportunities, July 1, 2010, In the Penn State Online https://www.directionsmag.com/article/2145 (accessed on 12 September 2017).
  • [24] MR. (2017). Monitoring and reporting, Poland https://www.inspire.ec.europa.eu/mr/PL/69.
  • [25] Moscicka, A. (2015). Europeana Data Model in GIS for movable heritage. Geografie, 120 (4), 527–541.
  • [26] Moscicka, A., Pokonieczny, K. and Tomala, J. (2016). Selection of Optimal Measurement Point Density in Travel Time Mapping:Warsaw Airport Case Study. Baltic Geodetic Congress (BGC Geomatics), June 2–4, Gdansk, Poland, DOI: https://doi.org/10.1109/BGC.Geomatics.2016.45.
  • [27] Moscicka, A. and Zwirowicz-Rutkowska, A. (2016). Soft skills development in the course of spatial information systems design and application. Chova, L.G, Martinez, A.L, Torres, I.C (eds.), EDULEARN16: 8th International Conference On Education And New Learning Technologies, (pp. 4677–4686). Book Series: EDULEARN Proceedings.
  • [28] Nebert, D. (Ed.) (2001). Developing spatial data infrastructures: the SDI cookbook, Version 1.1, Global Spatial Data Infrastructure, Technical Committee.
  • [29] SII Act. (2010). Act of the 4th of March 2010 on Spatial Information Infrastructure. Journal of Law, No 76, entry 469. Warsaw: Government Legislation Centre. (in Polish).
  • [30] Portele, C. (2017). Spatial Data Interoperability in INSPIRE. Interactive instruments. https://www.paikkatietoikkuna.fi/documents/108478/45ee0d1c-7285-4ae5-9170-7f8ea75411ab.
  • [31] Rada IIP. (2016). Programme for the construction of Infrastructure for Spatial Information 2016–2017 [in Polsh: Program budowy infrastruktury informacji przestrzennej (IIP) w etapie obejmującym lata 2016–2017], http://www.radaiip.gov.pl/iip/programowanie-prac.
  • [32] Rajabifard, A. (2010). Data integration and interoperability of systems and data. Scoping paper for the 2nd Preparatory Meeting of the Propsed UN Committee on Global Geographic Information Management, New York, USA.
  • [33] Ryan, B.J., DeMulder, M.L., DeLoath, I., Garie, H. and Sideralis, K. (2004). A clear vision of the NSDI. Geosp. Solut. 14, 30.
  • [34] Surma, E. (2016). INSPIRE implementation. State of Play in Poland. INSPIRE Conference 2016, Barcelona, Spain, 26–30 September 2016.
  • [35] Toth, K., Portele, C., Illert, A., Lutz, M. and de Lima, N.M. (2012). A conceptual model for developing interoperability specifications in spatial data infrastructures. Report EUR 25280 EN, ISNN 1831–9424 (online), Luxemburg, Publication Office of European Union, 2012.
  • [36] Vandenbroucke, D., Dessers, E., Crompvoets, J., Bregt, A.K. and Orshoven, J. (2013). A methodology to assess the performance of spatial data infrastructures in the context of work processes. Comput. Environ. Urban Syst. 38, 58–66.
  • [37] Werner, P., Jażdżewska, I. and Zwoliński, Z. (2015). Current State and Future Perspectives of University Education of GIS and Geoinformation in Poland. In Ja˙zd˙zewska (ed.) GIS in Higher Education in Poland. Curriculums, Issues, Discussion, Wydawnictwo Uniwersytetu Łódzkiego, Łódź.
  • [38] Wlodarczyk-Sielicka, M. and Stateczny A. (2016). Comparison of selected reduction methods of bathymetric data obtained by multibeam echosounder. Geodetic Congress (Geomatics), Baltic, 73–77. Publisher: IEEE. DOI: https://doi.org/10.1109/BGC.Geomatics.2016.22.
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c71e0ed8-9880-438e-a6ff-756b9a0392d9
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