ENM - BIOCLIM 3
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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