Gizmodo has a really cool article about NASA’s attempts to map the moon’s odd gravity down to the micron. Two orbiters around the moon are part of the GRAIL program have been tasked with measuring the moon’s micro gravity in an attempt to understand the moon’s interior structure. The two orbiters have been collecting data since New Year’s day, 2012, so they’re about to hit their one year mark (and thus potentially get to sign up for medical insurance …. is this thing on?) One of the neater aspects of this program is that the orbiters are fitted with remote cameras. Middle school kids actually get to control the cameras remotely for science projects at school. It’s all part of NASA’s MoonKAM (Moon Knowledge Acquired by Middle school students). Man, I wish there had been stuff like this when I was in middle school….
Once again, XKCD.com ‘gets’ it.
Has anyone else given this a lot of thought? Why does red = Republican and blue = Democrat in the US? Would it surprise you to find out that convention really didn’t fully catch on until as late as 2000? I can remember as a kid seeing a sea of blue on TV when Reagan got elected in 1980. Then I remember seeing a sea of red when he won again in 1984 with 49 of the 50 states and it kinda confused me. Well my confusion has been cleared thanks to this wonderful article by The Smithsonian. Take a few minutes and read all about the history of this cartographic phenomena in US political mapping. I personally really enjoy the side stories for the ‘why’ that are easily debunked. It makes for fun reading!
Also – if you’re eligible to vote in the US, go out and vote!
NASA has given a great explanation of how and why Sandy behaved the way it did. Score several for remote sensing, climate science, and meteorology!
Google has started adding Amber Alerts to its map and search results. They’re doing this through a partnership with the National Center for Missing and Exploited Children. Basically, they’re combining the local search information with NCMEC’s Amber Alert system. It should include any descriptive information and how to contact the system if you happen to know anything about the missing child.
It’s good to see companies using their technology to help communities and I hope other companies help these efforts in any way possible.
We’ve been following this news item for some time, and I have to say I, for one, never dreamed these scientists would be convicted. An Italian judge has decided six scientists and one government official are criminally negligent for failing to predict the L’Aquila earthquake. They face up to 6 years in jail for their actions. The judge was quick to point out the verdict isn’t based so much on the lack of prediction as their failure to adequate phrase their warnings in a sufficiently alarming way. It isn’t too much of a stretch to say this is going to have a drastically chilling impact on scientific reporting, particularly in Italy. I’d like to say something hopeful out of this, but frankly it is all quit too depressing.
Anyone who spends more than an hour around me knows I like clever word manipulations. Yep, I find them punny. Christoph Niemann has just taken this to a whole new level with Clever Google Maps Manipulations. Some of them are funny (like My Way or the Highway) and some of them are pretty nifty visual illusions. I personally like the one above best as I’ve gotten HORRIBLY lost on Mail-In Rebate Way on more than one occasion. Either way, they’re a good reminder that maps can be as much art as information.
There’s so much going on with this article in Jalopnik that I love. Let me break it down for you in rough order. First…. cars and geography and we all know how I feel about those. Second, the point of the article, which is to show we use a lot of gas in the US. But those are just the superficial, kinda uninteresting bits, especially to geographers.
The really cool part for me rests in a two things. This is an excellent example of how to lie with maps, or at least deceive. We know the US uses a lot of gas, but where and why is a bit of a mystery. One theory is the ‘fly over’ states tend to have older and less efficient cars and most importantly trucks. Furthermore, they tend to drive greater distances because they’re more spread out than an urban area like NY or LA. If you use the swipe bar in the middle (more on that in a second), you can flip between two views of the data. The left map shows annual gallons of gas used per capita and it clearly shows the middle of the country is the worst offenders. Again, the efficiency plus distances would make sense for the average person to use more gas than someone in an urban or suburban environment. However, the picture changes dramatically when you look at the map on the right. Here we see not per capita use, but total use, and it’s the more urban areas that tend to be the worst offenders. As Jalopnik points out in the text, the math is pretty clear – it’s because there’s more people. Even if a large number of people only drive a short distance in highly efficient cars they can still use a lot more gas per year than a small number driving large distances with inefficient cars. So how do you lower gas use? Thus far the focus has been upon fuel efficiency standards, but it looks like that might not be the only approach to take to tackle the problem. I just love the idea you can look at the same data totally differently and get a completely different compelling argument. It’s kinda awesome, I think.
And to round it out, the final really cool thing about this post is the great use of a swipe for displaying two maps. We use it a lot in our professional work as GISers, but I’d love to see more use like this ‘in the wild’ so to speak. It’s such a compelling way to present counter arguments just like this.
We all know greenhouse gases are all in the news the last decade or so. On top of that, fuel dependency gets a lot of airplay. Those two things drive a lot of the decision making for car fuel economy standards. In the US, that’s translated into a rather arcane system called the CAFE (Corporate Average Fuel Economy) standards. Jalopnik has a pretty good breakdown explaining the logic and implications behind CAFE standards. CAFE regulations have had a huge impact on car development around the world, particularly in the US. Ever wonder why small trucks like my personal favorite, the VW Rabbit Truck aren’t made anymore? Completely counter to logic, it’s actually the CAFE standards that have driven these more efficient vehicles out of production. Ever wonder why modern small cars go from pristine to ‘totaled’ even in relatively small wrecks? Again, CAFE standards drive much of this. Yet most people really don’t understand how and why CAFE standards work.
If you’re even remotely interested it either fuel economy, greenhouse gas issues, or cars, check out the link for a great breakdown. It’s really worth your time.
First, let it never be said I passed up an opportunity to make a The Police reference.
Now that we have that over, The Guinness Book of World Records has officiated the oldest note in a bottle ever found. The note is over 98 years old and it is an old National Geographic note from a 1914 scientific study concerning ocean currents. The note asks people to return the bottle to Captain C. Hunter Brown of the Glasgow School of Navigation. Apparently they released nearly 1,900 bottles but only got back a bit over 300. That seems about right for survey return rates, I think