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26:53 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2013

Taming Rich GML With stETL, A Lightweight Python Framework For Geospatial ETL

Data conversion combined with model and coordinate transformation from a source to a target datastore (files, databases) is a recurring task in almost every geospatial project. This proces is often refered to as ETL (Extract Transform Load). Source and/or target geo-data formats are increasingly encoded as GML (Geography Markup Language), either as flat records, so called Simple Features, but more and more using domain-specific, object oriented OGC/ISO GML Application Schema's. GML Application Schema's are for example heavily used within the INSPIRE Data Harmonization effort in Europe. Many National Mapping and Cadastral Agencies (NMCAs) use GML-encoded datasets as their bulk format for download and exchange and via Web Feature Services (WFSs).
  • Published: 2013
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
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