Differences
This shows you the differences between two versions of the page.
| Both sides previous revisionPrevious revisionNext revision | Previous revision |
| geocloud:adddata:colorscale [2025/01/06 10:29] – kfu_i-gis.dk | geocloud:adddata:colorscale [2025/05/07 08:53] (current) – external edit 127.0.0.1 |
|---|
| Drag and drop your file and select Color Scale. | Drag and drop your file and select Color Scale. |
| |
| {{:geocloud:adddata:b87e739af7817edbdcc23ac318771844.png?651x317}} | {{:geocloud:adddata:6b26b134269a82bb10df0a900e025572.png}} |
| |
| Choose whether it is a continuous or discrete color scale and press Finish. | Choose whether it is a continuous or discrete color scale and press Finish. |
| |
| {{:geocloud:adddata:111331e70ea56d5339f9db3958c8646c.png?651x355}} | {{:geocloud:adddata:7645a2bb34a92d241549357ed44a787d.png}} |
| | |
| | ==== Color Scales ==== |
| |
| On the Color Scales page you can filter color scales by name and either download or delete the files. | On the Color Scales page you can filter color scales by name and either download or delete the files. |
| |
| {{data:image/png;base64,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 |
