![]() ![]() So, to begin with, we'll go to the search and we'll do create TIN. But that's not the main objective of this, so what we're going to do now is we're going to create a tin from our points here. So just so you note, there's a little data setup that goes into this, and that maybe you'd be able to find that yourself, too. LAS to multi-point to create this point data set here that I'm using. I created a LAS data, I explored the data and then I used the tool called glaze which was the LAS is the file type that lighter data often comes as. I created a LAS dataset, which I won't show you here but just so you have a sense of the steps I took to prepare it, run in the background. Well, bringing that up, this data setup I did was simply bringing it into ArcGIS as a LAS dataset. So, to get going, let's create a TIN out of this data set. ![]() And I was able to attend this data set for free online and you can get much larger areas out of that as well. So, this is covering part of Marin County in the Point Reyes National Seashore and Golden Gate National Park. Where various agencies submit their data for download from the general public. As background, I downloaded this data set for free from a viewer in the US called the National Map. And then we can create good terrain datasets from that and that's what we'll do. And that makes Lidar really good for capturing true terrain data because we get a lot of data of what's happening on the landscape. Its maybe a meter often times and so, there's a ton data over the landscape we're not looking at a very large area here. This can generate a lot of data so if we try to measure the distance between some of these points its really small. But in lidar's case, we use Light to do it rather than your standard longer waves of radar. Lidar is similar to radar in that we bounce electromagnetic waves off of things and then see how long they take to return and that helps us determine their distance. These point data were captured by an instrument called lidar that some of you might be familiar with but many of you won't be. So first, we have a lot of point data in here. And then, we'll load it up in a viewer called ArcScene, that's similar to ArcMap, that we can use to see it in 3D. First, I'll show you how we take point data and turn it into a TIN and then we'll create a raster from the TIN. In this lesson, I'm going to show you how we use TINs and in practice. By completing this third class in the Specialization you will gain the skills needed to succeed in the full program. You should have equivalent experience to completing the first and second courses in this specialization, "Fundamentals of GIS" and "GIS Data Formats, Design, and Quality", before taking this course. Take Geospatial and Environmental Analysis as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. ![]() Learn how to visually display your data by classifying it in logical groupings and then symbolizing it on your map. ![]() Week 4: Expand your knowledge of symbology. Learn how to use environment variables to constrain your analyses and get better quality data products. Week 3: Go in-depth on projections and coordinate systems, which are foundational to all GIS. Take a detour into 3D data models, and interpolation of observations into 3D surfaces and rasters Week 2: Gain a working understanding of raster data models: symbolize, reproject, overlay, and assess rasters. Week 1: Tour ArcToolbox and learn how to use common geospatial analysis tools built into ArcGIS In this class you will learn the fundamentals of geospatial and environmental analysis during four week-long modules: Through all four weeks of this course, we'll work through a project together - something unique to this course - from project conception, through data retrieval, initial data management and processing, and finally to our analysis products. Apply your GIS knowledge in this course on geospatial analysis, focusing on analysis tools, 3D data, working with rasters, projections, and environment variables. ![]()
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