[gradsusr] 99% confidence level

[David Nielsen]

Just to add a bit on the visualisation, with Grads 2.1 or above, you can
draw trasparent shadings over the non-significant areas. I found it  quite
nice-looking. You can adjust the level of transparency.

http://cola.gmu.edu/grads/gadoc/colorcontrol.html#transparent


[image: Inline image 2]

On Thu, Jan 26, 2017 at 2:46 PM, <mehwish.ramzan at gmail.com> wrote:

> Dear All,
>
> Thank you so much for your replies. Okay I will try your suggestions and
> get back to you soon.
>
> With Best Regards,
>
> Mehwish
>
>
>
> > On Jan 26, 2017, at 7:24 PM, Alan Robock <robock at envsci.rutgers.edu>
> wrote:
> >
> > Actually it is much better to shade or put dots on the regions that are
> > NOT statistically significant.  That way you are covering information
> > that is not important rather than covering the data you want people to
> see.
> >
> > Alan
> >
> > Alan Robock, Distinguished Professor
> >   Editor, Reviews of Geophysics
> > Department of Environmental Sciences             Phone: +1-848-932-5751
> > Rutgers University                                 Fax: +1-732-932-8644
> > 14 College Farm Road                  E-mail: robock at envsci.rutgers.edu
> > New Brunswick, NJ 08901-8551  USA     http://envsci.rutgers.edu/~robock
> > ☮ http://twitter.com/AlanRobock
> > Watch my 18 min TEDx talk at http://www.youtube.com/watch?v=qsrEk1oZ-54
> >
> >> On 1/26/2017 2:51 AM, Andrew Friedman wrote:
> >> 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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> >>>
> >>>
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> >>
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