GIS crash course (field data)
This is a click-by-click crashcourse to get you from 0-GIS-knowledge to the minimum to work with field data. Originally, I developed this course for AGF-212 - Snow and Ice Processes for the University Centre in Svalbard . Thus, the topics are aimed towards the course content but the skills are trans...
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| Format: | Lecture |
| Language: | English |
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Zenodo
2023
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| Online Access: | https://doi.org/10.5281/zenodo.8037586 |
| _version_ | 1821666522708312064 |
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| author | Daniel Kramer |
| author_facet | Daniel Kramer |
| author_sort | Daniel Kramer |
| collection | Zenodo |
| description | This is a click-by-click crashcourse to get you from 0-GIS-knowledge to the minimum to work with field data. Originally, I developed this course for AGF-212 - Snow and Ice Processes for the University Centre in Svalbard . Thus, the topics are aimed towards the course content but the skills are transferable. And all data is freely available (yeahy!). The goal of the course is to be able to make a map during fieldwork to keep track of instruments and activities. Instructions 1) Download and unzip the file. 2) Click onGIS_crash_course 3) Open index.html The translation to French has been done by Annie Banville, trad. a./C. Tr. The course was developed for the University Centre in Svalbard. GRIMP has funded the translation to French. Data is available from the Norwegian Polar Institute data center. |
| format | Lecture |
| genre | Norwegian Polar Institute Svalbard University Centre in Svalbard |
| genre_facet | Norwegian Polar Institute Svalbard University Centre in Svalbard |
| geographic | Svalbard |
| geographic_facet | Svalbard |
| id | ftzenodo:oai:zenodo.org:8037586 |
| institution | Open Polar |
| language | English |
| op_collection_id | ftzenodo |
| op_doi | https://doi.org/10.5281/zenodo.803758610.5281/zenodo.8037585 |
| op_relation | https://doi.org/10.5281/zenodo.8037585 https://doi.org/10.5281/zenodo.8037586 oai:zenodo.org:8037586 |
| op_rights | info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode |
| publishDate | 2023 |
| publisher | Zenodo |
| record_format | openpolar |
| spelling | ftzenodo:oai:zenodo.org:8037586 2025-01-16T23:58:33+00:00 GIS crash course (field data) Daniel Kramer 2023-06-14 https://doi.org/10.5281/zenodo.8037586 eng eng Zenodo https://doi.org/10.5281/zenodo.8037585 https://doi.org/10.5281/zenodo.8037586 oai:zenodo.org:8037586 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode GIS Tutorial info:eu-repo/semantics/lecture 2023 ftzenodo https://doi.org/10.5281/zenodo.803758610.5281/zenodo.8037585 2024-12-05T12:23:24Z This is a click-by-click crashcourse to get you from 0-GIS-knowledge to the minimum to work with field data. Originally, I developed this course for AGF-212 - Snow and Ice Processes for the University Centre in Svalbard . Thus, the topics are aimed towards the course content but the skills are transferable. And all data is freely available (yeahy!). The goal of the course is to be able to make a map during fieldwork to keep track of instruments and activities. Instructions 1) Download and unzip the file. 2) Click onGIS_crash_course 3) Open index.html The translation to French has been done by Annie Banville, trad. a./C. Tr. The course was developed for the University Centre in Svalbard. GRIMP has funded the translation to French. Data is available from the Norwegian Polar Institute data center. Lecture Norwegian Polar Institute Svalbard University Centre in Svalbard Zenodo Svalbard |
| spellingShingle | GIS Tutorial Daniel Kramer GIS crash course (field data) |
| title | GIS crash course (field data) |
| title_full | GIS crash course (field data) |
| title_fullStr | GIS crash course (field data) |
| title_full_unstemmed | GIS crash course (field data) |
| title_short | GIS crash course (field data) |
| title_sort | gis crash course (field data) |
| topic | GIS Tutorial |
| topic_facet | GIS Tutorial |
| url | https://doi.org/10.5281/zenodo.8037586 |