Using synthetic data for the dissemination of computational geospatial models

Detailed datasets of real-world systems are becoming more and more available, accompanied by a similar increased use in research. However, datasets are often provided to researchers with restrictions regarding their publication. This poses a major limitation for the dissemination of computational t...

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Main Author: Kostas CHELIOTIS
Format: Article
Language:English
Published: European Association of Geographers 2020-12-01
Series:European Journal of Geography
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Online Access:https://eurogeojournal.eu/index.php/egj/article/view/170
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author Kostas CHELIOTIS
author_facet Kostas CHELIOTIS
author_sort Kostas CHELIOTIS
collection DOAJ
description Detailed datasets of real-world systems are becoming more and more available, accompanied by a similar increased use in research. However, datasets are often provided to researchers with restrictions regarding their publication. This poses a major limitation for the dissemination of computational tools, whose comprehension often requires the availability of the detailed dataset around which the tool was built. This paper discusses the potential of synthetic datasets for circumventing such limitations, as it is often the data content itself that is proprietary, rather than the dataset schema. Therefore, new data can be generated that conform to the schema, and may then be distributed freely alongside the relevant models, allowing other researchers to explore tools in action to their full extent. This paper presents the process of creating synthetic geospatial data within the scope of a research project which relied on real-world data, originally captured through close collaboration with industry partners.
format Article
id doaj-art-7931517049dd4a87956d00daeaa20bea
institution Kabale University
issn 1792-1341
2410-7433
language English
publishDate 2020-12-01
publisher European Association of Geographers
record_format Article
series European Journal of Geography
spelling doaj-art-7931517049dd4a87956d00daeaa20bea2025-01-06T06:59:21ZengEuropean Association of GeographersEuropean Journal of Geography1792-13412410-74332020-12-0111410.48088/ejg.k.che.11.4.06.21Using synthetic data for the dissemination of computational geospatial modelsKostas CHELIOTIS Detailed datasets of real-world systems are becoming more and more available, accompanied by a similar increased use in research. However, datasets are often provided to researchers with restrictions regarding their publication. This poses a major limitation for the dissemination of computational tools, whose comprehension often requires the availability of the detailed dataset around which the tool was built. This paper discusses the potential of synthetic datasets for circumventing such limitations, as it is often the data content itself that is proprietary, rather than the dataset schema. Therefore, new data can be generated that conform to the schema, and may then be distributed freely alongside the relevant models, allowing other researchers to explore tools in action to their full extent. This paper presents the process of creating synthetic geospatial data within the scope of a research project which relied on real-world data, originally captured through close collaboration with industry partners. https://eurogeojournal.eu/index.php/egj/article/view/170Datasets, Synthetic data, Modelling best practices, Model communication, ICHGS-2019
spellingShingle Kostas CHELIOTIS
Using synthetic data for the dissemination of computational geospatial models
European Journal of Geography
Datasets, Synthetic data, Modelling best practices, Model communication, ICHGS-2019
title Using synthetic data for the dissemination of computational geospatial models
title_full Using synthetic data for the dissemination of computational geospatial models
title_fullStr Using synthetic data for the dissemination of computational geospatial models
title_full_unstemmed Using synthetic data for the dissemination of computational geospatial models
title_short Using synthetic data for the dissemination of computational geospatial models
title_sort using synthetic data for the dissemination of computational geospatial models
topic Datasets, Synthetic data, Modelling best practices, Model communication, ICHGS-2019
url https://eurogeojournal.eu/index.php/egj/article/view/170
work_keys_str_mv AT kostascheliotis usingsyntheticdataforthedisseminationofcomputationalgeospatialmodels