| Title | Canadian Geospatial Data Infrastructure cookbook: recipes and case studies |
| Download | Downloads |
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| Licence | Please note the adoption of the Open Government Licence - Canada
supersedes any previous licences. |
| Author | Hatfield Consultants LLP |
| Source | Canadian Geospatial Data Infrastructure, Information Product 59e, 2020, 111 pages, https://doi.org/10.4095/328063  Open Access |
| Image |  |
| Year | 2020 |
| Publisher | Natural Resources Canada |
| Document | serial |
| Lang. | English |
| Media | on-line; digital |
| Related | This publication is a translation of Livre de cuisine de
l'Infrastructure canadienne de données géospatiale : recettes et études de cas |
| File format | pdf |
| Subjects | Science and Technology; Information and Communications; Canadian Geospatial Data Infrastructure; Geographic data; Open data; Planning; Standards; Information policy; Digital technology; Information
technology |
| Illustrations | schematic representations; tables; sample forms; screen captures; aerial photographs; digital elevation models; sketch maps |
| Program | GeoConnections Operational Framework |
| Released | 2020 01 01; 2021 09 23 |
| Summary | (Plain Language Summary, not published)
This CGDI Cookbook (2020) is intended to help new and current users of geospatial data increase their understanding of spatial data infrastructures (SDI)
and to recognize the benefits and advantages of participation in the CGDI. The information in this Cookbook may be useful to a variety of roles and functions within organizations, including new or in-training geomatics practitioners, environment and
lands managers, data managers, planners, policy analysts, researchers, and social and environmental service providers.
This Cookbook describes the components of the CGDI and provides step-by-step 'recipes' related to data, technology, policies,
standards, partnerships, and human resources. The recipes are designed to be standalone 'how-to' documents to help integrate different components of CGDI into users' activities. |
| GEOSCAN ID | 328063 |
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