In the last classes, we have learned how to make animations from feature layers or from raster layers. With occupies help. Today, I will introduce you to a new kind of data and make any mention of this data. This new data has also we will explain also a spatial data. It has spatial reference in it. It's not only a spatial data, it's also multi dimension, which means it can contain many elements or the location.

I'm gonna use tlds as an example, g LTS is the art and the for data and data type is net PDF data. And that CDF is the song called multi dimensional scientific data, which is very common in the research field. Now let's open CDF data on like ASCII data sauce. We use the last class, this data cannot be opened text to our toolbox Mountie dimension tools. Make nets linear raster layer will help us to visualize the data you are net Cydia data source. Here's the input.

We can just open anyone. Let's open our reasons one. Under variables, he enters any of this variables for the purpose and meaning for each of the variables. You can go online download the readme document for this tlds data product. It will explain what's the meaning behind the This data here we just choose an earring for for the variable. X is longitude wise longitude automatically picked it up and we keep everything else default.

That is how to look like for the precipitation on the day that I just picked up. Okay, now we know what the data look like what the data will look like. If we open it in ArcGIS here I have 50,000 of those timely output the data and I wanted to add our time here rid of our mouse our week of a theism and map it in our make our way out of it to achieve that we will need occupies help people that do you recall how to get the Python script first from here? Well answer is okay we have an odd model builder. We add the two we just use bounty dimension maintenance it is raster Anyone, just pick one and the variable. It has all those variables ready to be mapped.

They will just choose the total rain. Okay. And export to Python script. Okay, we're close. So here is the Python script for Making our netcdf file into a raster layer. You see the variable first of all is the next video file.

Second one's a variable that we choose to display certain ones x, which is the longitude field in the data and then the land to do anything. Here's a temporary layer it escaped. And there's two default Alaska ones by value. Now let's open the class file, Python script, apply demo layer symbology to all the data on that directory. Let's copy that. Here.

Let's get rid of this thing we don't need Here this part should have go inside of my loop. Let's change it a little bit. So, environmental workspace. My new environmental workspace is here. Now I will make a new demo layer, put it under this workspace. This time it shouldn't be on the NC for file.

Rasters in my raster least, there's not really a raster, but all the coding on purpose. That way. Okay, let's try this way. Oh wait, let me make my symbology layer first. My demo layer ready get me one. Okay see is running it's working I will not wait on to it to finish because I really I have 50,000 layers it's gonna take a lot of time Newport the Python script have finished let me just kill the program and add a song process the data as the example.

Okay, I have made an animation for you. I'm gonna play it now for making the animation process, I believe that you should be familiar with already since the last two, three classes