WEBVTT 00:00:02.067 --> 00:00:04.533 Hi, this is Florian, speaking from Melbourne. 00:00:04.533 --> 00:00:09.700 In the series, "Searching with Picky", this is a little screencast I've put together. 00:00:09.700 --> 00:00:16.167 So, from the last blog post we know that Picky can search coordinates. 00:00:16.167 --> 00:00:21.667 What I'm using now is a radius of 25km, which is quite big. 00:00:21.667 --> 00:00:28.900 As you see, Switzerland is small, so you find a lot of stuff with just 25 kilometers. 00:00:28.900 --> 00:00:37.067 The data I'm using here is the iPhone data, the cell tower location data, which 00:00:37.067 --> 00:00:40.200 Apple is collecting. 00:00:40.200 --> 00:00:44.133 I describe how I extracted it, it's easy, it's an SQLite database. 00:00:44.133 --> 00:00:49.400 So I've extracted it and fed it into Picky. 00:00:49.400 --> 00:00:55.300 And now, as in the last blog post, you can search for these 00:00:55.300 --> 00:01:00.867 dots where I was, so apparently I was never here, but I was here. 00:01:00.867 --> 00:01:03.500 Once. Or here. 00:01:03.500 --> 00:01:10.710 So now let's enable the timestamp and disable the coordinates 00:01:10.710 --> 00:01:13.367 and enable the dates. 00:01:13.367 --> 00:01:16.133 So, when I bought the iPhone, 00:01:16.133 --> 00:01:23.433 I started out in Zürich, and then I moved quite a bit 00:01:23.433 --> 00:01:29.300 At the end of November, I've moved to 00:01:29.300 --> 00:01:34.000 Tessin. Some friends of mine have programmed a nice iPhone 00:01:34.000 --> 00:01:37.467 game. it's called iMapIt. 00:01:37.467 --> 00:01:40.300 You can learn about Switzerland, its places. 00:01:40.300 --> 00:01:42.600 It's quite nice, you can download it 00:01:42.600 --> 00:01:46.649 They'll be happy. 00:01:46.649 --> 00:01:50.733 And you can also see that for example 00:01:50.733 --> 00:02:00.047 I spent my new year's around here. 00:02:00.047 --> 00:02:03.967 Near St. Moritz. 00:02:03.967 --> 00:02:08.633 And then I went back again. 00:02:08.633 --> 00:02:10.767 But you don't see me 00:02:10.767 --> 00:02:13.100 on this January 9th. 00:02:13.100 --> 00:02:15.567 Fact is, I went to Berlin, and 00:02:15.567 --> 00:02:23.767 gave a talk at the excellent RUG Berlin, with my friends, which 00:02:23.767 --> 00:02:25.752 also came. 00:02:25.752 --> 00:02:28.833 It was a Swiss evening, quite cool. 00:02:28.833 --> 00:02:31.100 So yeah, as you can see 00:02:31.100 --> 00:02:33.600 how I've moved around, and at the end of the timeline 00:02:33.600 --> 00:02:38.733 which is about now, that I've moved to Australia. 00:02:38.733 --> 00:02:44.400 Melbourne. 00:02:44.400 --> 00:02:48.533 So, now let's combine these two attributes. 00:02:48.533 --> 00:02:57.933 What I can say now is, when was I around here? 00:02:57.933 --> 00:03:03.233 Aha, it was around new year's I was there. 00:03:03.233 --> 00:03:06.033 Just for me this doesn't make lots of sense. 00:03:06.033 --> 00:03:14.200 If I want to know if I was somewhere I can just disable the timestamp and click. 00:03:14.200 --> 00:03:16.533 But if you have lots of people 00:03:16.533 --> 00:03:23.667 Say, intersecting data, with lots of intersecting geospatial 00:03:23.667 --> 00:03:26.833 timestamped data. 00:03:26.833 --> 00:03:38.067 Could come quite handy if you can combine these or choose which you need. 00:03:38.067 --> 00:03:45.267 Or enable the latitude, or just the longitude. 00:03:45.267 --> 00:03:49.133 Hope it was fun, hope you learnt something. 00:03:49.133 --> 00:03:52.800 I'll describe how I did it in the blog post. 00:03:52.800 --> 99:59:59.999 Cheers!