Abstract
For transition to European standards for infrastructure development and spatial data (SD) bank supply following the Directive of the European Parliament and of the Council of Europe (INSPIRE), which is mandatory for all member states and candidates to join the EU, it is necessary to ensure uniform requirements for the content of electronic documents on individual spatial objects. Significant archives of information require automation of the converting process for differentiated databases of SD to updated rules of digitally describing all instances of SD. The main processes of data conversion are considered, based on which the formation technology of acceptable or missed information for spatial data infrastructure is constructed. The paper examines that affine transformation is recommended for cases where geometric distortions of SD are heterogeneous. It has been found that the process of converting spatial and attributive information is more complicated. It is shown that the converting of archival information is realized through a set of functional rules following a set of regulated rules (SRR). It is noted that conversion involves the process of bringing disparate SD in line with the new standards and classifications of SD. The processes of transforming disparate SD between coordinate systems and converting existing data sets relative to old and new classifiers have been formalized. It is established that verification and validation tools allow for detecting disaccord and forming the basis for further data ordering.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Baumann, P., Escriu, J.: INSPIRE coverages: an analysis and some suggestions. Open Geospatial Data, Software and Standards 4(1), 1–22 (2019). https://doi.org/10.1186/s40965-019-0059-x
Feng, M.: Geodata for everyone - model-driven development and an example of INSPIRE WFS service. Open Geospatial Data, Software and Standards 1(1), 1–8 (2016). https://doi.org/10.1186/s40965-016-0007-y
Ali, A., Emran, N.A., Asmai, S.A.: Missing values compensation in duplicates detection using hot deck method. Journal of Big Data 8(1), 1–19 (2021). https://doi.org/10.1186/s40537-021-00502-1
Abdolmajidi, E., Harrie, L., Mansourian, A.: The stock-flow model of spatial data infrastructure development refined by fuzzy logic. Springerplus 5(1), 1–20 (2016). https://doi.org/10.1186/s40064-016-1922-1
Karabegovic, A., Ponjavic, M., Ferhatbegovic, E., Karabegovic, E.: Spatial data and processes integration in local governance of Bosnia and Herzegovina. In: 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), pp. 1298–1303. IEEE, Opatija (2018). https://doi.org/10.23919/MIPRO.2018.8400235
Idrizi, B.: General conditions of spatial data infrastructure. Int. J. Natu. Eng. Sci. 12(1), 57–62 (2018)
Zarytskyi, O.V., Kostenko, O.B., Bulaienko, M.V.: Automation of geospatial objects converting into the classifiers according to the European data standards. Mathematical Modeling and Computing 7(2), 228–238 (2020). https://doi.org/10.23939/mmc2020.02.228
Ouanouki, R., April, A., Abran, A., Gomez, A., Desharnais, J.M.: Toward building RDB to HBase conversion rules. Journal of Big Data 4(1), 1–21 (2017). https://doi.org/10.1186/s40537-017-0071-x
Zarytskyi, O., Bulaienko, M.: Development of algorithms for the geospatial array visualization module data in xml format. Municipal Economy of Cities 6(166), 8–14 (2021). https://doi.org/10.33042/2522-1809-2021-6-166-8-14 [in Ukrainian]
Rizk, R., McKeever, S., Petrini, J., Zeitler, E.: Diftong: a tool for validating big data workflows. Journal of Big Data 6(1), 1–27 (2019). https://doi.org/10.1186/s40537-019-0204-5
Klein, F.: Affine transformations. In: Elementary Mathematics from a Higher Standpoint, pp. 83–100. Springer, Berlin, Heidelberg (2016). https://doi.org/10.1007/978-3-662-49445-5_7
Kucher, O.V., Kurylyak, I.S., Staroverov, V.S., Koshelyuk, N.I.: Study of the method transforming existing geodesic, topographic-cartographic and cadastre materials to the USK-2000 coordinate system. Engineering Geodesy 64, 28–44 (2017). https://repositary.knuba.edu.ua/handle/987654321/2363 [in Ukrainian]
Chub, I.A., Novozhylova, M.V.: Determination of descent direction in linearized problem of non-oriented geometric objects arrangement. Radio Electronics, Computer Science, Control 2, 263–270 (2010). https://doi.org/10.15588/1607-3274-2010-2-17
Markič, Š., Donaubauer, A., Borrmann, A.: Enabling geodetic coordinate reference systems in building information modeling for infrastructure. In: Proceeding of the 17th International Conference on Computing in Civil and Building Engineering, pp. 5–7. Tampere, Finland (2018)
Nicolau, R., et al.: Harmonization of categorical maps by alignment processes and thematic consistency analysis. AIMS Geosciences 6(4), 473–490 (2020). https://doi.org/10.3934/geosci.2020026
Baumann, P., Misev, D., Merticariu, V., Huu, B.P.: Array databases: concepts, standards, implementations. Journal of Big Data 8(1), 1–61 (2021). https://doi.org/10.1186/s40537-020-00399-2
Zarytskyi, O.V., Kostenko, O.B., Bulaienko, M.V, Manakov, V.P.: Marking of incomplete spatially distributed information using validation. Bionics of Intelligence 1(94), 100–106 (2020). https://doi.org/10.30837/bi.2020.1(94).15 [in Ukrainian]
Abba, A.H., Hassan, M.: Design and implementation of a CSV validation system. In: Proceedings of the 3rd International Conference on Applications in Information Technology (ICAIT'2018), pp. 111–116. ACM, New York (2018). https://doi.org/10.1145/3274856.3274879
Maalem, S., Zarour, N.: Challenge of validation in requirements engineering. Journal of Innovation in Digital Ecosystems 3(1), 15–21 (2016). https://doi.org/10.1016/j.jides.2016.05.001
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Zarytskyi, O., Kostenko, O., Bulaienko, M. (2023). Formalization of Converting Processes and it Validation in Spatial Data Infrastructure. In: Arsenyeva, O., Romanova, T., Sukhonos, M., Tsegelnyk, Y. (eds) Smart Technologies in Urban Engineering. STUE 2022. Lecture Notes in Networks and Systems, vol 536. Springer, Cham. https://doi.org/10.1007/978-3-031-20141-7_1
Download citation
DOI: https://doi.org/10.1007/978-3-031-20141-7_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-20140-0
Online ISBN: 978-3-031-20141-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)