[gradsusr] 99% confidence level
Andrew Friedman
andfried at gmail.com
Thu Jan 26 02:51:41 EST 2017
Another option for plotting the significance areas (steps [2] and [3] below) is to use pattern filling: http://cola.gmu.edu/grads/gadoc/gradcomdsettile.html
In this case, you can draw a tile over statistically significant regions directly in GrADS without needing to create shapefiles.
-Andrew
> On Jan 26, 2017, at 2:52 AM, Lyndon Mark Olaguera <olagueralyndonmark429 at gmail.com> wrote:
>
> Hello,
>
>
> This website provides an example of doing a statistical significance test using grads:
>
> https://nelson.wisc.edu/ccr/resources/grads/significance-scripts.php
>
> Read the instructions carefully.
>
> As for the dots in the figure for areas which are statistically significant. You can do the following:
>
> [1] Mask out areas that are greater than the t statistic that you are using.
> [2] Save the masked output as a point shapefile. You can also do this in grads. Everything is in this website:
> http://cola.gmu.edu/grads/gadoc/shapefiles.html
> [3] Plot the basemap (the anomaly from your figure) then draw the shapefile.
>
> Hope this helps.
> Goodluck!
>
> Lyndon Mark P. Olaguera
> PhD Student
> Monsoon Climatology Laboratory
> Department of Geography
> Faculty of Urban Environmental Science
> Minami-Osawa Campus
> Tokyo Metropolitan University
>
>
> On Thu, Jan 26, 2017 at 9:18 AM, mehwish ramzan <mehwish.ramzan at gmail.com> wrote:
> Dear Andrew and GrADS users,
>
> I want to prepare a figure showing regions statistically significant at the 99% confidence level (using Student’s t-test) by subtracting model from observation.
>
> Please see attached file as a sample.The statistically significant areas are presented as black dots in the figure.
>
>
> How can i obtain such figure using GrADS.
>
>
> Please guide me.
>
> Thank you
>
> With Best Regards,
>
> Mehwish
>
>
> PS: The figure attached as sample is just for reference purpose.
> Figure reference: http://www.nature.com/articles/srep11847/figures/1. Retrieved on 25/01/2017
>
>
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