earth-science
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What existing feature could be improved?
The share, projection, camera, info and measurement tools do not describe what they are. Having a tooltip describe the button on hover would be helpful to new users and those that are impaired. Additionally, we should add aria-labels to these buttons for enhanced accessibility.
Describe the improvement you'd like
- Tooltips on icon hover
- Ari
Description of the desired feature
Lots of modules take input from a list of tables or stdin. In app cases, the input is required and without files or piping the module sits there. So clearly, the input is required. However, we are inconsistent in explaining this. For instance, sphinterpolate lists the input table u
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Sep 1, 2020 - Python
Description of the desired feature
When trying to create rolling windows with a size larger than the minimum dimension of the region, the function raises a very strange error:
For example, if our region is 20e3 x 10e3 and we try to generate windows with a size of 15e3:
import verde as vd
coordinates = vd.grid_coordinates(region=(-10e3, 10e3, -5e3, 5e3), shape=(30, 30-
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Aug 17, 2020 - Python
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Aug 28, 2020 - Jupyter Notebook
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Aug 26, 2020 - HTML
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Aug 28, 2020 - Fortran
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Aug 24, 2020 - Makefile
Description of the desired feature
On the last community call we decided to move all sample datasets in Fatiando to Rockhound.
Harmonica datasets are being moved to Rockhound on fatiando/rockhound#84.
After it is merged, we should remove the harmonica.datasets along with the data folder. Besides, all gallery examples should download their data from Rockhound, there
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Aug 26, 2020 - HTML
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Apr 29, 2020 - Python
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Sep 1, 2020 - R
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Jul 28, 2020 - C++
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Jun 20, 2020 - HTML
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Aug 27, 2020 - Python
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Aug 24, 2020 - Python
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Aug 10, 2019 - Python
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Sep 1, 2020 - Jupyter Notebook
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May 4, 2020 - Python
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Aug 27, 2020 - Fortran
Description of the desired feature
Would be nice if the gallery example corresponding to each dataset would explicit the license under it's released and a reference to its article (or doi). By facilitating this information we could encourage people to cite the models they use, and get to know under which license are they released.
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Feb 11, 2019 - IDL
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Feb 13, 2020 - MATLAB
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May 24, 2017 - C
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Aug 6, 2020 - Python
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Oct 4, 2019 - Jupyter Notebook
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Is there a way to know when the imagery was collected? I assume sometime in the daylight hours, and probably recently(?) but I have no way of knowing by looking at the output and the associated image.
Can that output be put in the CLI output or some other metadata file that gets associated with the
LC#######directory?