Systematic Technology Review of OGC Standards and OSGeo Projects

OGC Standards and OSGeo Projects have been widely applied to different kinds of geospatial data and extended for the implementation of geospatial data science environments. However, there’s no review comprehensively summarizing and discussing the progress of these open source technologies for publishing geospatial databases on the Web. The proposed Systematic Technology Review is a stylized version of the Systematic Literature Review, covering the documentation of OGC Standards and OSGeo Projects. To recognize the main topics of each technology in detail, the documentation was analyzed by Latent Dirichlet Allocation using Python. The adoption of the technologies were evaluated based on the number of Github forks and stars, as well as Docker pulls. The latest developments in terms of the OGC Standards for data encoding took place in the GeoPackage. For accessing, processing or visualizing data, the trend was the development of OGC API related standards. However, GML is the OGC Standard for data encoding most implemented in OSGeo Projects, along with Web Services like WMS, WFS, WCS and WPS for accessing, processing and visualizing. The Latent Dirichlet Allocation analyses found eight topics underlying the OGC Standard and OSGeo projects. The keywords of the top four topics were conformance, layer, tile and response.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-02
DOI
https://doi.org/10.5281/zenodo.14223464
Primary Topic
Geographic Information Systems Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Systematic Technology Review of OGC Standards and OSGeo Projects

Zenodo (CERN European Organization for Nuclear Research)
Geographic Information Systems Studies
article

Systematic Technology Review of OGC Standards and OSGeo Projects

article en

Abstract

OGC Standards and OSGeo Projects have been widely applied to different kinds of geospatial data and extended for the implementation of geospatial data science environments. However, there’s no review comprehensively summarizing and discussing the progress of these open source technologies for publishing geospatial databases on the Web. The proposed Systematic Technology Review is a stylized version of the Systematic Literature Review, covering the documentation of OGC Standards and OSGeo Projects. To recognize the main topics of each technology in detail, the documentation was analyzed by Latent Dirichlet Allocation using Python. The adoption of the technologies were evaluated based on the number of Github forks and stars, as well as Docker pulls. The latest developments in terms of the OGC Standards for data encoding took place in the GeoPackage. For accessing, processing or visualizing data, the trend was the development of OGC API related standards. However, GML is the OGC Standard for data encoding most implemented in OSGeo Projects, along with Web Services like WMS, WFS, WCS and WPS for accessing, processing and visualizing. The Latent Dirichlet Allocation analyses found eight topics underlying the OGC Standard and OSGeo projects. The keywords of the top four topics were conformance, layer, tile and response.

Zenodo (CERN European Organization for Nuclear Research)
Instituto Nacional de Pesquisas Espaciais (BR)
Industry, innovation and infrastructure
Openalex Percentile: Top 43%
Geographic Information Systems Studies
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Systematic Technology Review of OGC Standards and OSGeo Projects · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS