Hello, my name is Wade Wilson, and in these lessons, we will learn about working with and visualizing GIS data. In this lesson, I'll show you how to work with Raster and Vector Data. On our map, I've added aerial imagery from the year 2000, 2011, and 2020 for this area that we've been looking at. So first, let's look at aerial imagery from 2000. So we previously talked about how a Raster data set is made up of cells that cover the whole area in a continuous way, and that's why it's called continuous data. So if I zoom in on our area, with this data, you can actually start to see what we call pixels. Each one of these pixels is a different color. When you zoom in this close, it's hard to tell what you're really looking at. It's only when you zoom out that you really start to see the picture. So this is what is called a lower resolution. These are actually three feet by three feet pixels that represent a three foot by three foot area on the ground. Now if I turn on 2011, these are one foot pixels, and you can see the resolution is a lot better, even at this scale, you can start to make out a car in this case. Now let's look at 2020, which is half a foot resolution, and you can see that this car is very clear. You can now see that this parking area here is now gone, and we have a building on this lot right here. So that's one example of what you can do with Raster data. It can show you what's changed over time. So as we turn 2020 off, you can see that there was an empty lot here. And if we go back to 2020, you can still see the lot here. It's just not a very good resolution at all. So that's Raster data. There's Raster data that can give you elevation that looks at it in a 3D perspective to where you can look at the slope of an area to determine what you would need to do as far as providing utilities to this building. The vector data that we've been working with is really good for doing the analysis of representing the features, storing a lot more attributes with those type of features than you could with the Raster. Raster is more of a visualization in most cases, but what can you do with it? For example, you can use it to create vector data in a lot of cases. So often we'll come in here and we'll see trees. We can create points where we see these trees. We can define water bodies, roads, buildings. All of that can be interpreted using the aerial imagery. Now when we talk about orthoimetry, orthoimetry is basically aerial imagery and we're in this case looking at orthoimetry that's been adjusted in geo-reference to overlay in the real world position that it would be. So that if we're looking at, let me turn the building layers off, if we're looking at a building outline and my mouse is hovering over this position right here, and if you look at the bottom middle of the map right here, you can get the coordinates of these pixels. And if I pick a pixel, I can get those coordinates. So that's what we mean by an orthoimetry. It's been registered and it represents the real world location for the items or the images that we're looking at, and it's really good for data capture. It's also good at just providing information to the user that may not have been captured. Another example is just showing changes over time. And in this case, you can see that our vector data, the points, lines, and polygons, and in this case, I'm specifically talking about the building footprints, is out of date. And so for the 2020 aerial imagery, it actually provides some very useful information. And if we need to go in here and update our building footprints, we can actually use this aerial image right here to update our building polygon vector data. Thanks for watching. Stay tuned for the next lesson where I will show you data display order.