 we'll be looking at the time dimension. For this exercise we will be using the human population. So I'm going to choose human population and I'll choose this human population estimate and projection which is a global annual national dataset. So you see immediately the map has been updated and now each country is in a different shade of orange depending on the absolute total population. I can change the year by going back in time by clicking to the left so now the map is updated and show me 2020 and I can do that again back to 2019. I can also choose a particular time period so the year the 2000s so let's go 2051 so this is projection it's got estimates also for future population projections and you'll see that the map updates to follow me. The other thing I can do is to change time using this slider along the bottom. So I can play so what's happening now is you'll see the time moving slowly along the bottom hand strip and the map is updating as each time progresses. I can pause that I can make it faster well that's a little too fast and I can also pick an exact date from here so it's similar to the to the select that we saw before. The other thing that we can do is to take this dataset and split it into two so I'm going to split the dataset into two and on the right hand side we're going to put 2100 and on the left hand side let's put the year 2000. So now we can see that we can compare the two time periods left hand side 2000, right hand side 2100. So this will show us the breakdown. Okay let me remove that split and remove one of those copies so we just have one human population. The other thing we can do is to inspect a particular country so let's zoom in a little bit here. So if I click for example on Kenya it will now give me a small spark chart which will show me the evolution of time when we're looking here at total population. I can expand that and get a chart down the bottom and I can do something similar for a neighboring country so for example I could take Uganda. So let me take Uganda again we have the spark chart and I can add it to the chart on the bottom and finally we'll do the same with Tanzania. So here we'll see our three lines representing those three countries and you'll see that the estimated future projections have the population in Tanzania increasing quite quite more steeply than in Uganda or Kenya. Okay let's clean that up a little bit I'm going to remove those charts here and so we're back left of human population. So let's go back to the catalog and now let's look at the human population density but rather than a single value for the whole country this is using a one kilometer grid cell so let's see what that looks like okay let's let's for a moment just hide the the national figures and okay so now we see the the population density and so if you look at the scale here we're looking at 2020 and then you can see as we go towards the blues the purples and the dark red we have we have more people so zoom in a little bit further here and we can do a similar kind of trick so let me just first of all make it a bit brighter I can I can take this data set and I'm going to split it into two so now I've got two copies of the human population density on the left hand side I'm going to put the year 2000 and on the right hand side I'm going to put the year 2020 so now we can see the difference in the population density at the one kilometer grid cell level so you'll see here there's some quite marked difference here wow that's that's quite quite amazing now how much more people there are there okay so let's let's remove that so I'm going to remove this and I'm going to stay just with the population density so I didn't show you they can actually click on the pixel itself and we'll get the specific pixel value this is people per kilometer squared so we also had this this national aggregate so let's put this back up so it's a bit more visible and we can do a slightly different split so I'm going to split using the split on the left hand side over here so I've got population national on the left and I've got population density on the right okay now the in fact let's just change that around a little bit I'll make this not so transparent and I'll put this on both okay so right now we have fire stats I've just switched to be synchronized so what does that mean when I click on this little this little marker here it means that they will follow the bar along the bottom hand side if I turn it off then there's no bar that synchronizes the layers I'm currently viewing okay so there's more than one layer viewed I've got human population estimates for the year 2000 and over here we have the year 2000 this is not synchronizing now it's synchronized so you'll see that if I change to a different time period so let's say I change the time to 2008 they about 2005 sorry and you'll see that both the population density is moved to 2005 and also the the annual time series has moved to 2005 so they're synchronized let me show you that one more time so and I've switched to 2030 and so the human population density is 2013 and so is the the the population however the population estimates here if I was to choose a time period way into the future so this has got a projection whereas the population density didn't have a projection and I choose that figure you'll see that it won't met me because the the range that I'm constrained to is the common range between the different layers so if I change this now to 2100 they're no longer synchronized because I've unsynchronized them and we can see them both together okay so that was a very rapid walkthrough on the concept of time in the platform and I'll close that here