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BITC / NBD protocol - 10c

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Okay. We're almost there. At the end of the last clip, I had forgotten to paste as values. I have fixed that. Meaning, I pasted as values. Now, we can finish this up. I'm going to get rid of these top rows. Most importantly, I'm going to get rid of all of the individual columns. I'm pausing because my sheet is saving still. Be patient. There we go. Go all the way over to the end. Select through the second to last column. We now have our final table. Well, almost our final table. We have the point IDs, the G-distance, and the E-distance. We need to check that every point that G-dist=0 is also E-dist=0. It looks okay. It's going to save one more time. I'm going to save this particular page as a .csv file. Then, we can go back to QGIS and we will be done. Here we go. Save as. On the Mac, I have to use this "Windows Comma Separated". But, on a Windows machine, you can use just "comma separated". Save the active sheet. Continue. And then close and don't save. Now, go back to QGIS. We need to import our table using this comma feature. Specify that table ... it's this one. Check "No geometry" so it imports it as a table only. Now, double click on the random points layer. Go to 'Joins'. Add a join. We want to join the Edist table to our coverage. And, we want its ID to link to the ID of random points. That join is complete. If we open the attributes table, Gdist and Edist are now included. And, now we can do simple visualizations. Graduated. Edist. Quantiles. I don't want a big border. I want "no pen" for the outline. I want my points a little larger. We can leave it as blues. Turn off that layer. This actually what we saw in class. Here are the well-known sites (red pixels). You expect those to have a low Edist (white points). But, we have these large areas of very different conditions in and amongst our well-known areas. So, this is basically where we want to end. But, we can do some interpolation. There's Ghana RND. Well, I should have just ended this where it was. That's strange because we have the Edist there. But, let's go ahead and save this as a new shapefile, which will make the join permanent. Let's call this "edist2.shp". We want that added to the map. It doesn't matter that you can't see the visualization. Let's try our interpolation yet again. Edist2 There we have an E-distance. Add that. We were using a distance coefficient of 3. We should, in theory, set a custom number of columns and rows to match our G-distance. But, I just want to show you this quickly. So, I'm not even bothering with that. There goes the interpolation. I don't really care about this interpolation because we're not going to use this inverse-distance weighting approach for your final publications. This is just a quick-and-dirty interpolation. But, it just gives you the idea. You can see it's kind of ugly. It's kind of spotty. We'll use a better technique than this. But, the nice thing about this is imply that with this, we have a continuous interpolation across the full study region. So, those are the basics of this procedure. This takes you to the end of the protocol all the way down here. That should allow you to recreate the results that we developed while we were altogether in Uganda. That's the end of this series. Thank you.

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Duration: 7 minutes and 59 seconds
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Language: English
License: Dotsub - Standard License
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Posted by: townpeterson on Jul 26, 2016

This video gives a step-by-step through the protocol being used in the course on National Biodiversity Diagnoses, an advanced course focused on developing summaries of state of knowledge of particular taxa for countries and regions. The workshop was held in Entebbe, Uganda, during 12-17 January 2015. Workshop organized by the Biodiversity Informatics Training Curriculum, with funding from the JRS Biodiversity Foundation.

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