Welcome to the second week of Geospatial analysis.
where we talked about vector data and move on to raster data.
We'll start it all off by working with raster data formats.
database rasters you've been working with.
the resolution of a raster data set.
you'll learn some implications of doing that.
spike tools that let you display in the context of your other data.
extraction tools in the spatial analyst toolbox.
From there, we'll talk about re-projecting rasters.
a destructive process that requires important consideration.
make them act as one, so you can cover large areas with an analysis.
And then finally, we'll talk a little bit about some common raster data models.
Some different ways that you can use raster commonly in your work flows.
we'll learn about using rasters as surfaces, and 3D objects.
and how we create them with interpolation.
And then, how we can interpret rasters as 3D data.
3D structures that we can use in place of rasters and to create rasters.
visualize them in 3D in a program you haven't used yet called ArcScene.
3D information in your vector data.
what type of analysis can we undertake with the data that we found last week.
you'll think about that in the discussion question for next week.
I think this week's really interesting has a lot of really cool concepts.
the GIS work I do, it's really interesting stuff.
So, let's go get started.