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that drag on to include in the prediction remember BIOCLIM is only making XXXXXX boxes around the range of the XXXXX calibration and that has XXXXXXX then if chance this box is using in this case standard deviation values you can see here if you use a value of the reXXXXXment which is 1.960 you are using the 95% of all your XXXX models you get it? here you can change this option if you want this includes 9% of our values. so it's 1.9605 which means that 10% of our calibration data is going to excluded from the projection it XXXX excluding the outliers, OK? then apply, and then close this window now we are going to run our model go to the 3rd icon, the news version one you won't have this because it takes from XXXXXXXXX but this is the interface in which you enter the information for running your model first you have to give a name to your experiments for example "BIOCLIM" XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX on the left hand panel you have the options for uploading your XXXXXXX so go to the PLOS sign, then click on that one and go directly to where you have stored your information which is in bioXXXXXX data directory in the ENM Nairobi and by the folder you will find the XXXXX and the XXXX file XXXXXXXXXXXXXXX and it should appear in 2 species, the lion and the elephant sometimes happens that it doesn't read the XXX file here and if that happens to your data there's no XXXXXX because it's like a XXXX in the program so you need to delete the last line of the file go one space back and one space forth and it's going to XXXXX XXXXXXXXXXXXXXXXXX well here you have on the left hand side the two species, select only the line and go here to the last icon in this panel this cross and you will see here different options for selecting the XXXXXXXXX that you are going to use you can indicate that they have to take all the XXXXXXXXX of the different species files in one file or different files in the same directory of XXXXXX and here you can specify if you want to use only specially unique records if you didn't think of the records before hand like I told you yesterday you have duplicates you can indicate program remove to the duplicates both in geographic space and in bioXXXXXX space then here when you indicate proportion of points that you will use as training and the rest the main points will be used as the testing for validating models so in this case use 75% for training and you have said in the side of the occurrences then on the right hand side of the panel select the copy 1 of XXXXXX, the one that used the model file you see here that you can select all the options all the algorithms you want. we are not going to do that right now that's the advantage of a platform like this one that has several algorithms and you do exactly the same XXXXXX of your data and you run the XXXX algorithms to see which one is XXXXXXXX in this case we are going to run on XXXXXXX the here you select the layer set that you just created which is called XXXXXXXXXX here for instance model XXXXX data sets XXXXXXX. and here the projection settings refer to the geographic XXXXXXX which you are going to project the model to in this case we only have Africa presence so select that one and never forget to check here the option of geographic space because what happens if you don't check this box is that it's going to run a model that is not going to give you any map generated the ecological niche model XXXXX so it's necessary that you click on here the select one of the layers of your data set as a template just make sure thet XXXXXXXXXXXXXXXXXXXXXXXXXXXX XXXX several XXXX formats we are going to use the asking XXXXX integer format they are asking for XXXXXXXXXXXXXXXXXXX and then we are going to indicate the output directly where we want our resource to be say create XXXX directory in ENM Nairobi just create an inventory called "resourceon" and you are ready to run the model and it asks everyone to form your XXXXXXXXXXXXXXXX and it should start running the model depending on the capacity of your computer it may take few seconds or longer when you have these green XXXXXs here it means that it is done and you'll see several resources here that you are not going to XXXXXXX see the validation section tomorrow but you can explore the resource here and you'll see the map there you go why do we have 2 colors here? well, 3 colors. blue, green and red what do they mean? to see the map clean XXXX the green XXX on the second green XXXXX and go down who can tell me what XXXX follow me? XXXXXXXX XXXXXXXXXXXXXX yes, but what is blue, what is green and what is red? blue is XXXXXXXXXXXXXXXXXXXXXXXXX remember the word we XXXXXXXXXXX. we XXXXXXXXXX for running this model we changed the fourth volume to include 9% of the points so blue here is absence green is the over range of the data and red is the portion that we select to be included now this is only the figure the actual map is stored in the output directory that you indicated so let's go to that directory. go to the windows explorer to the resource of OM directory you'll see a series of sub-directories XXXXXXX, BIOCLIMXXXXX XXXXXXXXXX and the inside that you'll see several files created here.. you have shape files created for your points and this one, the one with the ASC extension is your actual XXX OK? the other ones are the XXX the figures you see XXXXXXXXXX just a demo, open QGIS pull in the shape files of the points and the grid XXXXXXXXXX great.but show it OK, what we are going to do is to upload these 2 pieces of information the J files the points and the XXXX file QGIS the way we XXXXXXX open QGIS and just upload the maps so the J file first and then you XXXXXX your XXXXX file now change the color of your map remember that we have here 3 values only zero, in this case it codes the 9 percentile as a fifty and the co-range of species as 100 so we have only 3 classes so we are going to leave it here at 3 classes. XXXXXXXXXX. XXXXXXXXXXX XXXXXXXXXXXXXXXXXX

Video Details

Duration: 16 minutes and 11 seconds
Country: United States
Language: English
Views: 84
Posted by: townpeterson on Jul 12, 2013


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