Hi,
You can manually place the min and max values. Since the screen is limited to
256 values, you will need to decide what values to display. If 0 is null,
you should indicate that in the raster properties. That will help with the
classification.
Nicolas Cadieux M.Sc.
Les Entreprises Archéotec inc. 
8548, rue Saint-Denis Montréal H2P 2H2
Téléphone: 514.381.5112  Fax: 514.381.4995
www.archeotec.ca
Le 2015-04-03 14:54, "mtreg [via OSGeo.org]"
<[email protected]> a écrit :
Hi All, I had a raster output from a kernel density estimate I produced
in R (using the adehabitatHR package). I imported the layer to QGIS, and it
displays by default without any issue (Rener type: Singleband Gray). However,
when I try changing this to color (Render type: Singleband pseudocolor), I
can't get the gradient in values to display. Since it is a Kernel Density
Estimate result, the values are all extremely low, covering a fairly large
area. The range of values is 0 to 6.4773e-10. When I either use the
'Classify' button to set value ranges to specific colors, all of the
values stay at 0. When I enter the small values into the classification Value
field by hand, the display does not change. Increasing the values by
multiplying the layer makes it feasible and plots okay, but I'd rather keep
values to the originals/not go through an extra step. Anybody have success with
plotting rasters with extremely small values with different color ramps? Any
suggestions are appreciated... Thanks, Mike
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