This is cool: Worldwind Java and Jython.

Just change the name and turn the table on the critics. Brilliant! Maybe ... no, nevermind.

Via Slashdot.

Joe VanAndel and Mary Haley, from NCAR, will talk about using Python in atmospheric observation and climate model visualization at next Wednesday's Pythoneers meeting.

"Real-time Geography" is a better, more accurate catch phrase than "Geo-Web". The latter has been trading on universal, yet shallow recognition of the significance of the (HTTP REST) World Wide Web despite being composed of services that are not of a web.

I accept GML, more or less. I still don't see how W*S is better for real-time geography or environmental monitoring than good old HTTP.

Update: Google is determined to keep the Geo-Web banner flying. Via All Points Blog.

If you're into technical blogs, add Bill Thorp's MapWrecker. .NET is his working environment, but he's writing about issues of browsers, standards, and protocols that cross platform boundaries.

Sorry, I couldn't find a good image macro to go with the title.

Help! I'm turning into a librarian.

Not that anyone gives a damn about my approval, but I must give credit where it is due: this looks promising. Software quality and usability remain a bigger problem for open source GIS software adoption than lack of commercial support, but an index of providers won't hurt at all.

Mitt Romney and I have many things in common. We were both schooled in Utah (no, I went to the "U"), together we saved the Salt Lake Winter Games, and we love science fiction. The difference is that Mitt loves crappy sci-fi.

Does taste in SF make or break a candidacy? I think it's a more valid factor than a candidate's haircut, waistline, or iPod playlist (current media staples, joined just now by desert island necessities. What's next? Which "Lost" character do you most identify with?). Charles Stross's "Glasshouse" and Jo Walton's "Farthing" would be my litmus test. Did you read them? Did you like them?

Charlie Savage writes:

In my view, the fundamental premise of GML is wrong. The ability to create custom data models is an anti-feature that makes integration between different computer systems impossible because it assumes that those systems can actually understand the data.

I read, in a very recent GeoRSS mailing list thread, the assertion that GML is the lingua franca of geospatial information on the Web. It's just not true anymore, if it ever was.

Update: Bryan Lawrence has a rebuttal.

Tom Kralidis points us to a new book, and I was struck by how few of the authors I know by name. Am I not getting out enough, or are these folks not taking their ideas to the web like they should?