| Title | Geological Survey of Canada Bedrock Data Model and tools: design and user guide documentation including ArcGIS(TM) add-ins |
| Download | Downloads |
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| Licence | Please note the adoption of the Open Government Licence - Canada
supersedes any previous licences. |
| Author | Brouillette, P; Girard, É; Huot-Vézina, G |
| Source | Geological Survey of Canada, Open File 8247, 2019, 129 pages, https://doi.org/10.4095/314673  Open Access |
| Year | 2019 |
| Publisher | Natural Resources Canada |
| Document | open file |
| Lang. | English |
| Media | on-line; digital |
| File format | readme
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| File format | pdf (Adobe® Reader®); rtf; xml (ESRI® ArcGIS(TM) v.10.2-v.10.6) |
| Subjects | stratigraphy; structural geology; mineralogy; paleontology; Science and Technology; information geology; models; software; cartography; bedrock geology; lithology; minerals; fossils; structural
features; Geographic data; Samples; Metadata |
| Illustrations | flow diagrams; screen captures; tables |
| Program | Open Geoscience |
| Released | 2019 06 21 |
| Summary | (Plain Language Summary, not published)
In the early years of use of spatial databases, geologic data models were designed around the traditional content of a geological map. These models were
using a map centric, highly denormalized approach characterized by multiple features, each representing a self-contained thematic geological map. Recently, the trend moved towards a data centric type of modeling and several ongoing projects have
embraced this concept, such as the North American Geologic Map Data Model (NADM) and the GeoSciML. This paper presents a functioning application that uses a generic feature acquisition model that meets the requirements of the GSC bedrock mapping
projects. Focused on a data centric approach, this standardized model offers solutions for the management of data throughout the typical dataset construction workflow such as data acquisition, compilation and interpretation. The application,
developed on ArcGIS platform, provides a simple and natural work flow through customized editing tools (add-in) while maintaining a coherent database and feature level metadata in the background. |
| GEOSCAN ID | 314673 |
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