<div dir="ltr">Hi Kyle, <div><br></div><div>Thanks for the reply. </div><div><br></div><div>The dataset is of 0.05 degree resolution, so that certainly isn't the problem. I have attached an image of the same data, but limiting the min/max lat/lon to the US Mid Atlantic. In this image you will see much more detail. This is the type of detail I was hoping to achieve for the entire globe. I figured if I increased the resolution of the global png, it would create the desired effect, but as you can see from the global image I attached, this wasn't the case. </div><div><br></div><div>Looking forward to hearing your thoughts. </div><div>Thank you,</div><div><br></div><div>Micah</div><div><br></div><div><br></div></div><div class="gmail_extra"><br><div class="gmail_quote">On Thu, Oct 30, 2014 at 12:26 PM, Kyle Griffin <span dir="ltr"><<a href="mailto:ksgriffin2@wisc.edu" target="_blank">ksgriffin2@wisc.edu</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">Micah,<div><br></div><div>This looks more like a limitation of your dataset - SST data is not of infinite resolution, and you're plotting far more pixels than would be data points in even a 0.1˚ dataset! It looks like the internal pixels are the same size as your coastlines, so I don't see an issue with NCL there. More specifically, you are not actually plotting coastlines - they only plot if you tell them to plot with a call to gsn_csm_map or another similar plotting tool. If you're looking for high resolution coastlines, look at the RANGS mapping capabilities in NCL. Beyond that, you can always plot shapefiles as well.</div><div><br></div><div>Yes, vector images are going to be extremely large and painful for even a moderate resolution file over the full globe. When you say raster, are you talking about it in the image sense (non-vector file) or in the cnFillMode sense (RasterFill, AreaFill, etc.; <a href="https://www.ncl.ucar.edu/Document/Graphics/Resources/cn.shtml#cnFillMode" target="_blank">https://www.ncl.ucar.edu/Document/Graphics/Resources/cn.shtml#cnFillMode</a>)? Raster fill mode will make the data more blocky and reduce interpolation between points, but the trade-off is a much faster plotting of the image and works well for high-resolution datasets being plotted at relatively low resolution/wide zoom.</div><div><br></div><div><br></div><div>Kyle</div></div><div class="gmail_extra"><br clear="all"><div><div dir="ltr">----------------------------------------<div>Kyle S. Griffin</div><div>Department of Atmospheric and Oceanic Sciences</div><div>University of Wisconsin - Madison</div><div>Room 1421</div><div>1225 W Dayton St, Madison, WI 53706</div><div>Email: <a href="mailto:ksgriffin2@wisc.edu" target="_blank">ksgriffin2@wisc.edu</a></div></div></div>
<br><div class="gmail_quote"><div><div class="h5">On Thu, Oct 30, 2014 at 9:58 AM, Micah Sklut <span dir="ltr"><<a href="mailto:micahs2005@gmail.com" target="_blank">micahs2005@gmail.com</a>></span> wrote:<br></div></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div><div class="h5"><div dir="ltr"><span>Hi, <div><br></div><div>This is a follow up to my previous posts, in reference to searching for high resolution images that could be used as zooming/navigating (specific interest is with image tile layers). </div><div><br></div><div>I figured if I created a png file with a high resolution, it would be able to capture the high detail, like with coastlines and so forth. </div></span><div>I've attached an image with very high resolution (16384x16384), but as you can see, if you zoom the global image into the coastlines they are extremely blocky. </div><span><div><br></div><div>Is is possible to capture high resolution features, such as coastlines in a global raster image with NCL? </div><div><br></div><div>FYI, I tried the vector image route, but the file size was gigantic, so that didn't seem like a proper route. </div><div><br></div><div>Thank you, </div><div><div><br></div>-- <br>Micah Sklut<br>
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