Apparently, as covered by all the other geoblogs, probably.
Oh and happy 2009, when my newest daughter reaches 6 months I’ll probably have had enough sleep to start blogging again, still in hibernation mode atm.
Over at Flickr we’ve just turned on shapedata for various locations around the world. Aaron posts way way more over on Flickr’s Code Blog: The Shape Of The Alpha.
Now when you call flickr.places.getInfo if we have shapedata for that place, it’ll get sent back to you in the response. See Aaron’s post and the flickr.places.getInfo page itself for more information and example response data.
Since it went live I had a quick play asking for the shapedata for the States of America and it looks very much like this …
I did this by calling getInfo for each state in turn, asking for the response in JSON format. Using a canvas object over the top of the map I plotted each shape in turn. The results are pretty good.
“On a slightly more philosophical level, it’s a never ending process. We’ll never reach a point where we can say “Right that’s in, all borders between places have been decided”. But what we should end up with are boundaries as defined by Flickr users.”
These are not government borders, council borders or outlines from other agencies. These are generated based on the actions of Flickr users and how they choose to define their own locations, and which anyone can download and use themselves, with obviously the understanding that these are not government borders, council borders or outlines from other agencies, these are generated based on the actions of Flickr users and how they choose to define their own locations :)
Which is why it sometimes gets a little messy, see London Center Zoomed in …
… there’s various amounts of overlap, and sometimes gaps … in this case the big gaps are because I’m only plotting the top 100 “places’ in London, many of which fall outside of this view. The thin gaps between the shapes is due to the nature of the algorithm.
Anyway it’s kinda a fun stab at taking the local knowledge of the masses and turning it into something hopefully useful that anyone can use. Free shapedata for all … as long as enough people have taken a photo there :)
I’m pretty sure I’ll have to say on this topic again soon (oh and an example of how the canvas stuff all works).
Related: Here’s an image from Jim Bumgardner generated by grabbing geotagged photos tagged with the names of the lower 48 states: “Alabama”, “Arizona”, etc. and plotting them, allowing the shapes of the states to emerge …
Here’s the breakdown, first I’ll mention augmented reality, then I’ll ramble a bit, then I’ll make a point, or not, depending on how the rambling has gone. First the Augmented Reality part.
I’ve downloaded RjDj onto my iPhone, it’s basically two things 1) Awesome, 2) Sound processing software that samples your environmental soundscape and plays it back to you mixed, looped, pitch shifted and generally fucked around with. It’s hard to explain so here’s a couple of photo/video things to try and explain.
First, this is me walking out of Montgomery Muni Station in San Francisco. It’s all very motion sickness inducing and next time I’ll try and make a steady-cam version. Wobblyness aside, this is now what I hear with the Eargasm scene selected as I walk around. The Eargasm scene is like being enveloped in your own Dystopian Future Eno Soundscape.
Here’s one from YouTube, a more tranquil outdoor soundscape …
To really have a go Download RjDj, insert in-ear noise blocking headphones, select Eargasm, walk outside, walk around. Imagine you’re in your own futuristic movie. Go out of your way to stand on metal grills, walk past people talking, a busker if you can manage it and near people talking, oh and near people talking. Eargasm only works well outside, Echolon is better in the office, imho.
I’ve been doing this walking to and from work for about 2 weeks now and have gotten used to hearing in this new way, it’s both exciting and calming. And I consider this augmented reality because the earphones I use blockout virtually all noise, if I’m wearing them with no music going on I hear just my own breathing. When RjDj is running the sounds I hear are totally passed through software and processed, I’m still aware of what’s going on around me, it’s just different, more enveloped in textures and so on. Eno, Eno, Eno.
You should really try it!
Now for the ramble part …
On my old laptop (and backup drives) I have all my music, purchased over the years, ripped to mp3s. iTunes tells me I have something like 60 days worth of music. Given that I can listen to around 6 hours worth a day, it means that if I play a track twice there must be another track that I can’t possibly have time to listen to this year.
So I bought an iPod touch and didn’t put all my music on it, I created smart playlists that’d pick 60 tracks I’d rated highly but hadn’t listened to for a while, mixed with other unrated tracks. A bit Genius before Genius came out. I thought that was neat, going from half a gahbillion tracks to just 60 at a time.
Then I bought a new laptop and figured I’d have to get round to copying all my music over. But I just haven’t done it yet, now with the power of last.fm I’ve, ummm, transcended the need to own albums and tracks and music and stuff.
I feel as though I’ve invested enough time in listening, rating and so on music that last.fm plays my music collection back to me pretty well. If I need something new I just listen to the radio station of one of my contacts, or my neighborhood and so on. Loving or Banning tracks as I go.
(Apparently I like female vocalists and electronic)
Curiously listening to neighborhood radio, or radio from my contacts, always ends up at Jefferson Airplane, no matter how many times I ban it. Maybe it’s a function of my age, the age of the people I know, and where I live. Could be worse I guess, could be Starship.
Last.fm generally covers me for music in 3G saturated San Francisco, but I still found myself in situations where I’ve had no coverage to pick up last.fm and no music on my iPhone :( Just Melvyn Bragg and In Our Time to keep me going. And at this point, I’m stubbornly not putting any music on my laptop or iPhone. I am now Post-Album.
And this is where RjDj fits in. It creates musical compositions on the fly and fortunately I happen to really enjoy ambient soundscape, other people I’m sure would totally hate it.
The only thing that would improve it for me, is if analyzed the current tempo, pitch, overall level and activity of the sounds, then based on my listening habits on last.fm, pull in snippets of music I tend to like, little echos of tracks I remember played here or there.
It’d be like your own personal version of the best album on earth ever; Chill Out by the KLF.
What does this mean for photos?
This is a bit of a jump, but here goes. I take a lot of photos, not as many as some people, and way more than others. Sets of photos are like Albums and one off shots like Singles. Just like last.fm they have views, tags, favs and so on. Just like my music collection I have more photos than I can possible look at, realistically anyway.
Now I’m not going to stop taking photos any time soon, but …
In the same way RjDj samples the sounds around me, and delivers them back remixed and processed, and heck at the top of this post I even recorded one so it can be played back later … old habits die hard it seems. What if the same happened with vision?
Here’s a 3D(ish) model of the City above Montgomery Muni Station …
My iPhone has GPS, it knows, sort-of, where I am, and which way I’m heading … with a little of a delay. But enough to give me a wireframe of what I’m looking at based on the 3D data it can grab, with at least the augmentation level that RjDj gives me with sound.
More mood board stuff …
Google Earth, with it’s 3D models and Street View Bubbles …
“Buttons” the Blind Camera … Read More “The camera memorizes only the time and starts to continuously search on the net for other photos that have been taken in the very same moment” …
Does this mean that I’m nearly at the point where I’ll just be able to walk around, with my augmented sound and augmented vision? A HUD that superimposes a wireframe of where I am, resamples and processes what I see (I happen to like film effects, Black & White and soft vingnetting please) and mixes in my own memories of older photos I’ve taken at that point, while sampling and saving other views for the future and pulling in my contacts, friends and strangers photos?
In the same way that I no longer bother to carry around Albums of music, and listen to Tracks. Will I no longer need to actively record new photos, Have I invested enough time and source material for a system to recommend images to me and sample new ones for me. It’s not quite here yet, in-fact as I say this stuff, I can feel myself thinking “But I’ll always need to take photos, what about those special moments of the children growing up” and so on …
… but at the same time, there was a point when I though it was very important to keep all my music forever, for all time, to never loose a single mp3 in a drive failure. Yet now, I’m happy to not have even one on my mp3 player. I’ve reached the point where I’m no longer interested in cataloging, keeping and finding missing tracks, I have a soundscape that could feasibly play at me 24 hours a day. Even with access to my old laptop and music library, I just fire up last.fm and type in an artist or tag for the mood I’m in and let it go, banning or loving tracks if I really need to.
On the vision/photo front, this isn’t supposed to be useful by the way, in the same way that I use RjDj to make a walk more interesting or immersive. This is augmenting reality for passive/interactive immersive experiences to make walking to and from work (or for the joy of it) more entertainingly enveloping.
What I’d like, is to be able to walk along the beachfront from my childhood and be played snippets of sounds from when I was young, superimposed with old family photos, mixed in with music generated from the sounds of the waves, and my own and other peoples photos being pulled in from having been taken at the same point, but in a style I happen to like. All on top of what I can actually see, I mean, I still don’t want to be knocked down while crossing the road.
This is unlikely to happen for me now … going that far back, as I don’t have easy access to all those old sounds and pictures. But a lot of us are recording them for the future. When Modesty, Zachary and Isobel grow up, there’ll be more photos of them and events than they can possible get through. I suspect taking photos to keep as personal memories and sharing in the way we currently do will be terribly old fashioned.
But just because I no longer buy Albums, I still need musicians to make some music to feed the machine. And that’s the way I’ll be taking photos and videos and sounds and stories, and I hope other people will, so there’s enough to feed the realtime vision/sounds/mood processing machines of the future. It will, however, be very different, and probably fairly soon, and hopefully I’ll have something to do with it if I can :)
… the premise being “If Europe were condensed into one piece and combined as one cell, what would be left behind as residue? Two extremes: a very dense condition and a big void.” using a process of “… extract[ing] information from the capital cities of the European Union and condensed [them] into a single entity”.
I like the idea behind taking cities and trying to smoosh them together, joining them up in non-accidental ways. I’m sure there are other examples of fitting various maps together to form a whole, but they’re escaping me at the moment.
It’s a little odd posting over there but now that Flickr does have a Dev Blog, it kinda makes sense to mostly post Flickr related geo-stuff there. And more comment here, even if I’m still stuck with an utterly dorky theme.
“For us, it’s a first small step into an experiment, and actually a pretty big experiment as we’re potentially accepting “corrections” from our millions and millions of users. We’re not quite sure how it’ll all turn out, but we’re armed with Maths, Algorithms and kitten photos.”
… and …
“On a slightly more philosophical level, it’s a never ending process. We’ll never reach a point where we can say “Right that’s in, all borders between places have been decided”. But what we should end up with are boundaries as defined by Flickr users.”
But what does it all really mean (to me)? Well, at a very basic level it means we’ve taken the descriptive geo-data on Flickr down to the next granular level. Instead of only going down to Town and City levels, we now go down to neighborhoods, and this is now reflected in the API.
Use the first one with a sacrificial photo you have write permission on (i.e. your own). Set it’s location with a Lat/Long and then go get the information for that photo to find out where Flickr thinks that photo was taken. There’s a couple of other ways of doing it, but that’s probably the easiest to understand.
The advantage to Flickr and the whole ecosystem that builds up around it of doing this is, as we feed back user submitted corrections into the backend, the neighborhoods Flickr assigns to a Lat/Long will slowly evolve over time to our user’s view of the world … and we have quite a lot of them, so in major cities this should be quite good.
This is hopefully converting a “database” view of an area (for want of a better term) into how real people on the ground view of an area.
On that subject, it’s also possible that users of FireEagle (now public), websites that integrate with FireEagle and users of websites that intergrate with FireEagle will also gain the benefit of potentially millions of people make updates to location, depending on how far back into WOE we can roll the data.
That to me is the magic part, people taking photos over here and saying “Oh no, that photo wasn’t taken in such-and-such, but actually here” can have a positive effect on someone’s experience with a totally unrelated website who happens to be using FireEagle to update their location. Suddenly that website gains the local knowledge from thousands of photographers :)
Well, that’s kinda the theory anyway, but it’s always interesting being able to take that kind of theory and attempt to put it into practice.
When I first saw that Zazzle were doing shoes my first thought was, obviously, ‘Quick, stick a map on them’ …
And since then I’ve been doing nothing but messing around with the designer and making map shoes of San Francisco (just north of Golden Gate Bridge)
Sadly they only do Womens and Kids shoes at the moment, and Modesty says she’d much rather have Kittens on her shoes than maps … so I guess it’s just me who finds them fantastic.
I was trying to think of something We Make Money Not Artsy about putting the streets your shoes pace along each day onto your shoes, or taking a little bit of home with you where-ever you go … but frankly I don’t have the prose for it.
So I’m finally tired of Yahoo! Small Business’ WordPress blog hosts. It just doesn’t seem to work. The database falls over, connections don’t work, the log files fill up, or whatever. The WordPress versions which are supposed to auto-update don’t seem to leaving security holes, and so on.
Therefore I’m taking the easy route out and moving over to being hosted on WordPress.com. Which means I can hopefully spend more time actually writing posts than battling with my hosts install.
Over the next few days I’ll be porting my old posts over (hopefully)
Ok, so everyone’s playing with the new iPhone 2.0 software, and taking photos, and embedding the location information into the EXIF.
Well early adopters in San Francisco are anyway, and here’s an interesting thing about San Francisco is that it’s at the same latitude as a bit of the Yellow Sea, just off the coast of China.
The Spec for GPS location in EXIF says that you’re not supposed to have any sign information on the latitude or longitude, so it’ll always be positive (i.e. the North Eastern Hemispheres) in the "GPS Latitude" and "GPS Longitude" fields (although some apps do add that information) The North/South East/West bit is supposed to be in the "GPS Latitude Ref" and "GPS Longitude Ref" fields.
But it seems at first glance, that the iPhone 2.0 software misses these fields out when writing EXIF data to the photo, so while everything else using Core-Location on the iPhone is super happy. Photos appear to be missing which Hemisphere they’re taken in.
And those photos taken in San Francisco, well, they think they’re in China … for the moment.
Seems like there may be differences between first edition iPhones running version 2.0 software and the new 3G iPhones running v2 software. And also a difference between photos geotagged when the GPS is running outdoors to when they’re geotagged from WiFi location only.
A few weeks ago I commented about Googles new photo overlays, in which they pre-bake Panoramio photos into tiles. I said I was unsure of why they didn’t have a more even distribution of photos at the global level.
Well it seems that (totally co-incidently I’m sure) a more even spread has now happened. Although I have no idea when this change came into effect, I see no mention on any of the Google/Panaramio blogs. Anyway, this is what the global level used to look like …
Old:
… compared to how it looks now …
New:
The new is definitely a marked improvement. There’s a lovely even distribution of photos, and even a little artistic flair in having a select few larger photos. It certainly feels like the larger photos are picked out as being more photogenic too, although I have no idea if this is actual true, and if it is, if it’s editorial scoring or some other method to devise photogenicness :)
The spread happens across all levels. Again a comparison between the North edge of San Francisco from a few weeks ago to now…
Old:
New:
Again, the difference is obvious. And while it’s definitely better, I guess I maybe hard to please, but it’s still not quite right (imho) when you’re zoomed in at this level. A mix between the two in this case would be great.
While the new has the photos less obscured by each other, the older version does a better job of showing where the overall distribution of photos is. You can see the clusters around the Northeast edge and over the two bridges. The algorithmic spread introduced into the newer tiles has artificially effected the distribution of the number of photos taken in different areas.
As an example it looks as though there’s just as many photos taken in the water just off the North edge of San Francisco as on the land just under the North edge. While on the older tiles you can see this isn’t quite true.
There’s probably a happy medium somewhere between the two. Like the strength of the clustering effect being proportional to the zoom level. The more zoomed in, the more photos cluster, highlighting dense photographic areas. The more zoomed out, then less clustered and more evenly spread, giving a good visual sampler of large areas of the world.
Anyway, good to see that improvements take place, and I’m still interested to see what “themed” pre-baked tiles would look like, such as “night” or “sunset” or “celebration” or what have you.