Wish I was, but not this year,

Can you share a higher res version?

Thanks,

Brian ]]>

Will you be attending the 2015 DevSummit or 2015 UC? If so, we will have prints of this graphic available. ]]>

Great post on the Esri 2015 User Experience (UX) & User Interface (UI) Principles. Especially like the spaceman graphic. Is the graphic available for download in a higher resolution? The embedded one isn’t printing with the text legible.

Thanks,

Brian ]]>

First off, thanks for the great blog post! I seem to be having a problem and I’m not sure if I’m doing something wrong or its technically not possible. I’m trying to create the following relationship model..

(Hydrants > Inspections > Violations)

(Hydrants > Inspections > Different Table)

(Hydrants > Inspections > 3rd Related Table)

I’m sticking to the 3 layers deep approach but I have 3 related tables to the Inspections table. I set everything up following the instructions and I’m not even getting the Inspections table as an option to collect when creating a new Hydrant feature. Can you confirm that this approach is possible? I can share my demo map as well if that would help.

Thank you!

]]>I have updated the link so give it another try.

Regards Gert

]]>The final result is derived by combination of simple mean, gamma and min-max stretch so it’s not just simple mean. Therefore the back calculating ‘simple mean’ formula won’t work the way you are assuming, let me tell you why.

In your example, you would like output color 255,222,173, which means you would need to start with this color. Your other input P is 67.

Simple mean would give you RGB values (161,145,120). Now you can back calculate the colors with simple mean formula, you would get the colors (255,222,173) you started with.

But that’s not final output color. With gamma and min-max stretch adjustments, this technique would convert simple mean colors i.e RGB_out (161,145,120) almost equal to input colors i.e. RGB_In (255,222,173). It seems you are missing the steps after simple mean operation.

Hope this helps! ]]>

It would be useful if we could figure out what the input RGB values need to be to result in the desired RGB value.

I know the formula for the simple mean is, well, simple:

http://resources.arcgis.com/en/help/main/10.1/index.html#//009t000000mw000000.

Red_out= 0.5 * (Red_in + Pan_in)

Green_out = 0.5 * (Green_in + Pan_in)

Blue_out= 0.5 * (Blue_in + Pan_in)

For example, say my desired output colour was (255,222,173), and my P value was 67… what should be the input RGB values be?, If I back calculate the above formula, I get RGB values of (443, 377, 279), but those values are impossible or?

Thanks!