Making response curves readable

[Aaron Sidder]

Hello,

I am preparing my work for a journal submission and would like to include my species response curves in an appendix.  Unfortunately, the response curves generated by SAHM have very small fonts on the axes and are difficult to read.  I've attached an example, which also includes some edits I made with axis labels and a variable title.  Does anyone know if there is a way to increase the font size or edit the output so that they are more readable?  Thanks,

Aaron

[Gericke Cook]

Hey Aaron, I believe that the expanded output folder generated by SAHM has a spreadsheet if the raw data for the response curves. You could read those into whatever graphics package you prefer to create custom graphs.

Gericke

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[Talbert, Colin]

Hello Aaron,

I just took a look at the ..\ExpandedOutput\ResponseCurves.csv and it doesn't look like the x values for each variable are saved in that output file.  There's probably a straightforward way to calculate these (such as equally spaced values between the min and max of that covariate but I'll need to check on that). I'll also check with Marian to see if we can get the x values added to this output file for the next SAHM release.

Another option if you're comfortable in R is to open the model workspace which is saved in the output folder and regenerate them with modified font size.

A final last ditch option would be to open the files in an editor and manually replace or resize the text elements.

Colin

Thanks,

Colin

Colin Talbert

GIS Analyst and Developer

US Geological Survey

talb...@usgs.gov

USGS Fort Collins Science Center 

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USGS North Central Climate Science Center

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[Talbert, Marian]

All the data needed to reproduce the response curves is in the csv Sorry it's not in the most intuitive form I'll try to clean it up with the next release I don't think anyone other than me has used that.  If for example if you read in the data using dat <- read.csv(...) column 2 has the first response (y)  column 3 the values of that variable for the predictor at the response so plot(dat[,2],dat[,3],type="l")

 should look like the response curve for the first predictor and plot(dat[,4],dat[,5],type="l") should look like the second response curve so you should be able to modify as needed.

Marian 
  

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Marian Talbert
Research Statistician

North Central Climate Science Center

Colorado State University
Fort Collins, CO 80523

(970) 492-4283
mtal...@usgs.gov

Work schedule:

Tuesday       -   9:30 - 4:30  

Wednesday   -  9:30 -  4:30 

Thursday      -   9:30 - 4:30 

[Gericke Cook]

Not true, Marian. I've used it and I like that you make that output accessible. :)

[Aaron Sidder]

Hi all, thanks for the responses and sorry for the late response, I've been in the field.  I found the response curves output and was able to figure out how to plot it and replicate the SAHM output.  Thanks for the help, I think I've got it from here.

Aaron

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Aaron Sidder

720.933.0925