Closed DenoBeno closed 4 years ago
Some examples of badly chosen scales:
Past climate Worst case future
Hot days, standard deviation: scale is way out of bounds. Anything beyond 10 is probably to be considered "junk data", so the contrast should be somewhere in the 0-10 or maybe 0-2 scale.
No green & blue colors used => less contrast available
For EMIKAT, I have noticed that scales for the heat indices are not good. E.g. the Ageos dimitrios study:
historic data, yearly events
Forr all three indices, the scale is the same, 20-100°C, although T_MRT never goes below 74°C and T_ambient never above 50°C. Consequently, almost nothing is seen on a map.
E.g. T_UTCI:
The green-yellow-red scala used here is not bad by the way. We could use this and add lila & blue below green and brown above red for even more contrast.
Hi @DenoBeno
Considerations
The initial selection of the scale is certainly random, since its availability in geoserver was massive. I will now make some points that are already being taken into account:
1- Use the same scale and color coding for all variants of the same indicator, at least within a study. Make sure the scale has a high contrast so that users can recognize changes in the map. E.g: Yes, these two points have already been started. You can check this in the following layers: HI_summer-days... Two base legends have been made for media and desviation layers that are applied to the whole equally for ease of comparison. 2- the scale that only uses yellow / brown / red is less usable than one that also uses green and blue. However, when the variable that is represented alludes to hot days, the green or blue color is really confusing and not advisable. Therefore this recommendation is not always applicable.
3-for visual examples 1 and 2, these are not definitive scales. these layers must be updated with the new mask we are considering. Then we proceed to its revision and adjustment of ranges.
4-I will consider greater contrast for stakeholders in next steps.
ok, thanks
On Mon, 21 Oct 2019, 16:55 LauraMTG, notifications@github.com wrote:
Hi @DenoBeno https://github.com/DenoBeno
Considerations
The initial selection of the scale is certainly random, since its availability in geoserver was massive. I will now make some points that are already being taken into account:
1- Use the same scale and color coding for all variants of the same indicator, at least within a study. Make sure the scale has a high contrast so that users can recognize changes in the map. E.g: Yes, these two points have already been started. You can check this in the following layers: HI_summer-days... Two base legends have been made for media and desviation layers that are applied to the whole equally for ease of comparison. 2- the scale that only uses yellow / brown / red is less usable than one that also uses green and blue. However, when the variable that is represented alludes to hot days, the green or blue color is really confusing and not advisable. Therefore this recommendation is not always applicable.
3-for visual examples 1 and 2, these are not definitive scales. these layers must be updated with the new mask we are considering. Then we proceed to its revision and adjustment of ranges.
4-I will consider greater contrast for stakeholders in next steps.
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Related to: https://github.com/clarity-h2020/data-package/issues/8#issuecomment-542592439_
We are often running into a problem with data visualisation. Two main reasons:
Recommendations: