Version 1
: Received: 16 December 2021 / Approved: 17 December 2021 / Online: 17 December 2021 (11:15:59 CET)
Version 2
: Received: 6 June 2022 / Approved: 7 June 2022 / Online: 7 June 2022 (11:10:07 CEST)
Noardo, F. (2022). Multisource spatial data integration for use cases applications. Transactions in GIS, 26, 2874– 2913. https://doi.org/10.1111/tgis.12987
Noardo, F. (2022). Multisource spatial data integration for use cases applications. Transactions in GIS, 26, 2874– 2913. https://doi.org/10.1111/tgis.12987
Noardo, F. (2022). Multisource spatial data integration for use cases applications. Transactions in GIS, 26, 2874– 2913. https://doi.org/10.1111/tgis.12987
Noardo, F. (2022). Multisource spatial data integration for use cases applications. Transactions in GIS, 26, 2874– 2913. https://doi.org/10.1111/tgis.12987
Abstract
Big opportunities are given by the reuse and integration of data, which, nowadays, are more and more available, thanks to advances in acquisition and modelling technologies and the open data paradigm. Seamlessly integrating data from heterogenous data sources has been an interest of the geospatial community for long time. However, the higher semantic and geometrical complexity pose new challenges which have never been tackled in a comprehensive methodology. Building on the previous theories and studies, this paper proposes an overarching methodology for multisource spatial data integration. Starting from the definition of the use case-based requirements for the integrated data, it proposes a framework to analyse the involved datasets with respect to integrability and suggests actions to harmonise them towards the destination model. The overall workflow is explained, including the data merging phase and validation. The methodology is tested and exemplified on a case study. Considering the specific data sets’ features and parameters, this approach will allow the development of consistent, well documented and inclusive data integration workflows, for the sake of use cases processes automation and the production of Interoperable and Reusable data.
Keywords
data integration; interoperability; harmonization; GeoBIM; metadata
Subject
Engineering, Control and Systems Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
