<div dir="ltr">Dear GrADS users,<div><br></div><div>Thank you so much for helping me out for calculating the 99% significance level.</div><div><br></div><div>Here is my output.</div><div><br></div><div><br></div><div>With Best Regards,</div><div><br></div><div>Mehwish </div><div><br></div><div><br></div><div>P.S. Thank you Professor Robock and David Nielsen, I will try your suggestions as well to enhance the quality of figures.</div></div><div class="gmail_extra"><br><div class="gmail_quote">On Thu, Jan 26, 2017 at 11:31 PM, David Nielsen <span dir="ltr"><<a href="mailto:davidnielsen@id.uff.br" target="_blank">davidnielsen@id.uff.br</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr"><div class="gmail_default" style="font-family:tahoma,sans-serif;color:rgb(0,0,0)">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.</div><div class="gmail_default" style="font-family:tahoma,sans-serif;color:rgb(0,0,0)"><br></div><div class="gmail_default"><font color="#000000" face="tahoma, sans-serif"><a href="http://cola.gmu.edu/grads/gadoc/colorcontrol.html#transparent" target="_blank">http://cola.gmu.edu/grads/<wbr>gadoc/colorcontrol.html#<wbr>transparent</a></font><br></div><div class="gmail_default"><font color="#000000" face="tahoma, sans-serif"><br></font></div><div class="gmail_default" style="font-family:tahoma,sans-serif;color:rgb(0,0,0)"><br></div><div class="gmail_default" style="font-family:tahoma,sans-serif;color:rgb(0,0,0)"><img src="cid:ii_159dc06fb329c8fb" alt="Inline image 2" width="302" height="209"><br></div></div><div class="HOEnZb"><div class="h5"><div class="gmail_extra"><br><div class="gmail_quote">On Thu, Jan 26, 2017 at 2:46 PM, <span dir="ltr"><<a href="mailto:mehwish.ramzan@gmail.com" target="_blank">mehwish.ramzan@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Dear All,<br>
<br>
Thank you so much for your replies. Okay I will try your suggestions and get back to you soon.<br>
<br>
With Best Regards,<br>
<br>
Mehwish<br>
<div class="m_-1828916210604838937HOEnZb"><div class="m_-1828916210604838937h5"><br>
<br>
<br>
> On Jan 26, 2017, at 7:24 PM, Alan Robock <<a href="mailto:robock@envsci.rutgers.edu" target="_blank">robock@envsci.rutgers.edu</a>> wrote:<br>
><br>
> Actually it is much better to shade or put dots on the regions that are<br>
> NOT statistically significant. That way you are covering information<br>
> that is not important rather than covering the data you want people to see.<br>
><br>
> Alan<br>
><br>
> Alan Robock, Distinguished Professor<br>
> Editor, Reviews of Geophysics<br>
> Department of Environmental Sciences Phone: <a href="tel:%2B1-848-932-5751" value="+18489325751" target="_blank">+1-848-932-5751</a><br>
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> Watch my 18 min TEDx talk at <a href="http://www.youtube.com/watch?v=qsrEk1oZ-54" rel="noreferrer" target="_blank">http://www.youtube.com/watch?v<wbr>=qsrEk1oZ-54</a><br>
><br>
>> On 1/26/2017 2:51 AM, Andrew Friedman wrote:<br>
>> Another option for plotting the significance areas (steps [2] and [3] below) is to use pattern filling: <a href="http://cola.gmu.edu/grads/gadoc/gradcomdsettile.html" rel="noreferrer" target="_blank">http://cola.gmu.edu/grads/gado<wbr>c/gradcomdsettile.html</a><br>
>> In this case, you can draw a tile over statistically significant regions directly in GrADS without needing to create shapefiles.<br>
>><br>
>> -Andrew<br>
>><br>
>><br>
>>> On Jan 26, 2017, at 2:52 AM, Lyndon Mark Olaguera <<a href="mailto:olagueralyndonmark429@gmail.com" target="_blank">olagueralyndonmark429@gmail.c<wbr>om</a>> wrote:<br>
>>><br>
>>> Hello,<br>
>>><br>
>>><br>
>>> This website provides an example of doing a statistical significance test using grads:<br>
>>><br>
>>> <a href="https://nelson.wisc.edu/ccr/resources/grads/significance-scripts.php" rel="noreferrer" target="_blank">https://nelson.wisc.edu/ccr/re<wbr>sources/grads/significance-scr<wbr>ipts.php</a><br>
>>><br>
>>> Read the instructions carefully.<br>
>>><br>
>>> As for the dots in the figure for areas which are statistically significant. You can do the following:<br>
>>><br>
>>> [1] Mask out areas that are greater than the t statistic that you are using.<br>
>>> [2] Save the masked output as a point shapefile. You can also do this in grads. Everything is in this website:<br>
>>> <a href="http://cola.gmu.edu/grads/gadoc/shapefiles.html" rel="noreferrer" target="_blank">http://cola.gmu.edu/grads/gado<wbr>c/shapefiles.html</a><br>
>>> [3] Plot the basemap (the anomaly from your figure) then draw the shapefile.<br>
>>><br>
>>> Hope this helps.<br>
>>> Goodluck!<br>
>>><br>
>>> Lyndon Mark P. Olaguera<br>
>>> PhD Student<br>
>>> Monsoon Climatology Laboratory<br>
>>> Department of Geography<br>
>>> Faculty of Urban Environmental Science<br>
>>> Minami-Osawa Campus<br>
>>> Tokyo Metropolitan University<br>
>>><br>
>>><br>
>>> On Thu, Jan 26, 2017 at 9:18 AM, mehwish ramzan <<a href="mailto:mehwish.ramzan@gmail.com" target="_blank">mehwish.ramzan@gmail.com</a>> wrote:<br>
>>> Dear Andrew and GrADS users,<br>
>>><br>
>>> 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.<br>
>>><br>
>>> Please see attached file as a sample.The statistically significant areas are presented as black dots in the figure.<br>
>>><br>
>>><br>
>>> How can i obtain such figure using GrADS.<br>
>>><br>
>>><br>
>>> Please guide me.<br>
>>><br>
>>> Thank you<br>
>>><br>
>>> With Best Regards,<br>
>>><br>
>>> Mehwish<br>
>>><br>
>>><br>
>>> PS: The figure attached as sample is just for reference purpose.<br>
>>> Figure reference: <a href="http://www.nature.com/articles/srep11847/figures/1" rel="noreferrer" target="_blank">http://www.nature.com/articles<wbr>/srep11847/figures/1</a>. Retrieved on 25/01/2017<br>
>>><br>
>>><br>
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>>><br>
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