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| Both sides previous revisionPrevious revisionNext revision | Previous revision | ||
| pluginto:wfs [2022/10/11 03:26] – gregbalco | pluginto:wfs [2024/03/12 13:40] (current) – joetulenko | ||
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| You can add a data source in QGIS in several ways. One, in the QGIS " | You can add a data source in QGIS in several ways. One, in the QGIS " | ||
| - | {{ :pluginto:new_connection_page.jpg? | + | {{ :pluginto:wfs_step3.2-correct.png |
| Name the connection whatever you like. | Name the connection whatever you like. | ||
| Line 17: | Line 17: | ||
| https:// | https:// | ||
| - | This link establishes a connection between your desktop GIS application and all of the ICE-D data stored as a Web Feature Service (WFS) hosted online by Geoserver. Before selecting OK, be sure to check the box stating "Invert | + | This link establishes a connection between your desktop GIS application and all of the ICE-D data stored as a Web Feature Service (WFS) hosted online by Geoserver. Before selecting OK, be sure to check the box stating "Ignore |
| - | **Note**: | + | **Note**: "ignore |
| The connection page should now look like this: | The connection page should now look like this: | ||
| - | {{ :pluginto:screen_shot_2022-10-10_at_8.04.47_pm.png? | + | {{ :pluginto:wfs_step3.2-correct.png |}} |
| Now click ' | Now click ' | ||
| Line 53: | Line 53: | ||
| In the image above, I selected some random surface samples related to the Greenland Ice Sheet in northwest Greenland as an example (the red highlighted dots on the map). Each entry (sample) has a set amount of attribute data that comes from ICE-D. The image shows the complete list, and users are encouraged to explore on their own, but attribute data includes lat lon and sample elevation values, among other attributes useful for querying. Currently, each sample has reported calculated ages based on the default production rate ([[https:// | In the image above, I selected some random surface samples related to the Greenland Ice Sheet in northwest Greenland as an example (the red highlighted dots on the map). Each entry (sample) has a set amount of attribute data that comes from ICE-D. The image shows the complete list, and users are encouraged to explore on their own, but attribute data includes lat lon and sample elevation values, among other attributes useful for querying. Currently, each sample has reported calculated ages based on the default production rate ([[https:// | ||
| - | A major advantage of viewing samples in your own personal desktop application is that you have access to all of the samples in the database and their metadata, and you can select samples based on geographic locations with ease. However, GIS applications also have querying tools that allow users to select samples based on their attributes in essentially the same exact way a user might query an sql database to extract the exact data they want. Please find an example | + | A major advantage of viewing samples in your own personal desktop application is that you have access to all of the samples in the database and their metadata, and you can select samples based on geographic locations with ease. However, GIS applications also have querying tools that allow users to select samples based on their attributes in essentially the same exact way a user might query an sql database to extract the exact data they want. Coming soon: examples |