0:00:02.067,0:00:04.533 Hi, this is Florian, speaking from Melbourne. 0:00:04.533,0:00:09.700 In the series, "Searching with Picky", this is a little screencast I've put together. 0:00:09.700,0:00:16.167 So, from the last blog post we know that Picky can search coordinates. 0:00:16.167,0:00:21.667 What I'm using now is a radius of 25km, which is quite big. 0:00:21.667,0:00:28.900 As you see, Switzerland is small, so you find a lot of stuff with just 25 kilometers. 0:00:28.900,0:00:37.067 The data I'm using here is the iPhone data, the cell tower location data, which 0:00:37.067,0:00:40.200 Apple is collecting. 0:00:40.200,0:00:44.133 I describe how I extracted it, it's easy, it's an SQLite database. 0:00:44.133,0:00:49.400 So I've extracted it and fed it into Picky. 0:00:49.400,0:00:55.300 And now, as in the last blog post, you can search for these 0:00:55.300,0:01:00.867 dots where I was, so apparently I was never here, but I was here. 0:01:00.867,0:01:03.500 Once. Or here. 0:01:03.500,0:01:10.710 So now let's enable the timestamp and disable the coordinates 0:01:10.710,0:01:13.367 and enable the dates. 0:01:13.367,0:01:16.133 So, when I bought the iPhone, 0:01:16.133,0:01:23.433 I started out in Zürich, and then I moved quite a bit 0:01:23.433,0:01:29.300 At the end of November, I've moved to 0:01:29.300,0:01:34.000 Tessin. Some friends of mine have programmed a nice iPhone 0:01:34.000,0:01:37.467 game. it's called iMapIt. 0:01:37.467,0:01:40.300 You can learn about Switzerland, its places. 0:01:40.300,0:01:42.600 It's quite nice, you can download it 0:01:42.600,0:01:46.649 They'll be happy. 0:01:46.649,0:01:50.733 And you can also see that for example 0:01:50.733,0:02:00.047 I spent my new year's around here. 0:02:00.047,0:02:03.967 Near St. Moritz. 0:02:03.967,0:02:08.633 And then I went back again. 0:02:08.633,0:02:10.767 But you don't see me 0:02:10.767,0:02:13.100 on this January 9th. 0:02:13.100,0:02:15.567 Fact is, I went to Berlin, and 0:02:15.567,0:02:23.767 gave a talk at the excellent RUG Berlin, with my friends, which 0:02:23.767,0:02:25.752 also came. 0:02:25.752,0:02:28.833 It was a Swiss evening, quite cool. 0:02:28.833,0:02:31.100 So yeah, as you can see 0:02:31.100,0:02:33.600 how I've moved around, and at the end of the timeline 0:02:33.600,0:02:38.733 which is about now, that I've moved to Australia. 0:02:38.733,0:02:44.400 Melbourne. 0:02:44.400,0:02:48.533 So, now let's combine these two attributes. 0:02:48.533,0:02:57.933 What I can say now is, when was I around here? 0:02:57.933,0:03:03.233 Aha, it was around new year's I was there. 0:03:03.233,0:03:06.033 Just for me this doesn't make lots of sense. 0:03:06.033,0:03:14.200 If I want to know if I was somewhere I can just disable the timestamp and click. 0:03:14.200,0:03:16.533 But if you have lots of people 0:03:16.533,0:03:23.667 Say, intersecting data, with lots of intersecting geospatial 0:03:23.667,0:03:26.833 timestamped data. 0:03:26.833,0:03:38.067 Could come quite handy if you can combine these or choose which you need. 0:03:38.067,0:03:45.267 Or enable the latitude, or just the longitude. 0:03:45.267,0:03:49.133 Hope it was fun, hope you learnt something. 0:03:49.133,0:03:52.800 I'll describe how I did it in the blog post. 0:03:52.800,9:59:59.000 Cheers!