Thanks to Tim O’Brien at O’Reilly Media for putting together this interview about my recent Radiohead & GIS posts. You can read or listen to the interview on their news site, or download the interview as an mp3.
And now back to our regularly scheduled programming…
Okay, so, I can’t stay away from this just yet. It’s a rare occasion that I’m able to play around with visualizations in GIS and music that I love simultaneously. I had a couple comments about rasterizing and hillshades and flybys, and so that’s what I did. Again, as you know, the new video for Radiohead’s House of Cards was released on Monday along with data that they used to create the video so people could make their own clips to upload to Radiohead’s YouTube group. Right, so, I took the point data displayed in yesterday’s post, interpolated these points into a raster, basically a digital elevation model, then created a hillshade from this raster. Thus, we have Thom Yorke seemingly in 3D. I brought both the raster and hillshade into ESRI’s infrequently used ArcScene to compose the flyby, and this makes up the second part of the video posted below. Simultaneously, I worked on exporting the original points to Google Earth, doing a bit of tweaking of the data and projection to get the points to show up in the middle of the US. This part makes up the first part of the video. More screenshots and the video are below, and if you want to get your hands on the KMZ I used for the Google Earth portion, you can get it here.
Wow. Radiohead’s new video is totally inspiring and impressive. And the best thing is, they provided all of the data for compiling the video in CSV format (since there were no images that were used in the video, just 3d data). Well, I brought the points for frame 1 into ArcMap, and got some pretty incredible visualizations. Here we have Thom Yorke in all his digital glory…
I can remember being in the geography lab when I was an undergrad and absolutely loving the stereoscope, viewing old, crisp, black and white aerial photographs of buttes and canyons in the Southwest. Static images of the world come alive, and you can really read a landscape and get a truer sense of depth beyond what a shadow tells you. I’ve been thinking a lot recently about how I could create a three dimensional scene or landscape video using static images. Below is the roughest draft of what I am talking about. It’s not as crisp as the images in the geography lab, but a fair attempt. I think that you could do a series of these pictures, making the scene more realistic, but that will come later…
I’ve posted this map before, but here it is in all it’s applied glory. You can click on the image to get to the actual page, and from there, you can “Take Action” and show the Ocean Conservancy and our oceans how much you love them.
Here are a couple Landsat images showing the Basin Complex/Indians fires as they flame up in Big Sur. The first image is from May 13th, the second image was taken on June 14th, and the last image was taken on June 30, 2008. These fires are a lot bigger than I had suspected. This is such a beautiful place, it’s tough to see it so affected.
The images were downloaded from USGS’s Global Visualization Viewer (GloVis).
This set comes courtesy of the US Fish and Wildlife Service’s National Wetlands Inventory. Here, I’m showing “estuarine and marine deepwater.”
This is probably the best example of Web 2.0 mapping I’ve ever created. No?
