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[00:19:07] <tom_m> sorry, yes. big performance issue. the browser hangs
[00:19:48] <tom_m> too much going on. switching to the vector and clustering seemed to help a bit, but right now i'm just trying to figure out the difference between that and
http://www.giscloud.com/map/16671/a-world-of-a-million-points
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[03:55:24] <nyxx> Leaflet question: Anyone knows how to identify a marker during a popupopen event?
[03:55:29] <nyxx> http://stackoverflow.com/questions/12701240/how-to-identify-leaflets-marker-during-a-popupopen-event
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[09:53:02] <javisantana> hi all, do you know if is there available a library to export leaflet geometry layers as geojson?
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[10:10:37] <javisantana> i can't find one so i will develop one
[10:11:01] <javisantana> I think it fits in leaflet since it has geometry edit capabilities
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[10:14:14] <ybon> javisantana: it's discussed, see for example:
https://github.com/CloudMade/Leaflet/issues/712
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[10:16:30] <javisantana> yeah, i see
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[10:19:59] <javisantana> the pull request is 5 months old, do you know why it is not merged?
[10:22:03] <ybon> humm, last time I've discussed this with Mourner, he said he was not sure this was a core feature, and maybe could live in a third party plugin
[10:24:56] <javisantana> it seems reasonable that if leaflet core parses geojson could export geojson also
[10:25:05] <javisantana> the same than the editing features are in the core
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[13:59:28] <zevarito> hi all
[13:59:50] <zevarito> good example of cartesian coords with leaflet?
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[14:47:07] <tjones> hi, I'm having an issue on a map with vector layers, but no tile layers - click events on the map do not fire when rendered features are clicked. Is there something i can do about this? Also, the vector features are all L.GeoJSON.
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[15:12:35] <tjones> specifically, all click events on svgs do not propogate
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[22:01:16] <tom_m> does anyone know how i could place millions of markers on the map? my browser seems to crash. even with clustering. i saw this:
http://www.giscloud.com/map/16671/a-world-of-a-million-points but wasn't sure how they did it
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[22:16:49] <ybon> tom_m: humm, it seems that the markers on the giscloud example are custom canvas tiles
[22:17:30] <tom_m> yea, but they are individually clickable. and i do want to group so i won't see that many at once but
[22:17:46] <tom_m> i had better luck with CircleMarker than Marker. the vector seemed to be faster
[22:18:15] <tom_m> but of the few cluster plugins i found, they all used just Marker. i tried adjusting a few of them. not much luck. so i'm sitting down now to write my own… but would rather not
[22:18:37] <ybon> humm
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[22:19:38] <ybon> the giscloud example doesn't load all the million markers in one time
[22:19:46] <tom_m> i have 8,998 right now and it loaded in an acceptable amount of time. obviously you just see a blog when zoomed out. so i will cluster it and hopefully never have more than that on any one view… but i just wonder about performance
[22:20:00] <ybon> I don't think one can do this actually
[22:20:45] <ybon> you can see some example of big data set in the markercluster plugin
[22:21:16] <tom_m> this one?
http://leaflet.cloudmade.com/2012/08/20/guest-post-markerclusterer-0-1-released.html
[22:21:23] <ybon> 10000 points seems to be the acceptable limit
[22:21:40] <ybon> yes, this one
[22:22:19] <tom_m> it was crashing my browser when i tried with 8,998 of them. granted they were added to layer groups (4 groups, so 4 different cluster marker classes)
[22:22:38] <ybon> With 10000 markers, you already have the request size problem, plus the javascript computation performance problem...
[22:22:44] <tom_m> if i changed the Marker to ClusterMarker it would work (despite looking funny because i didn't style anything)
[22:23:37] <tom_m> from my server i return JSON with the key being lat/lng and the value then being various data to plot based on the coords. its small enough to not come back with a request timeout
[22:23:42] <tom_m> but yea one day i don't know maybe it would
[22:24:23] <ybon> I'm using geojson tilelayers to deal with this
[22:24:32] <tom_m> how does that work?
[22:24:51] <tom_m> is that a tile server?
[22:25:02] <ybon> well
[22:25:23] <ybon> it's not a tile server de per se, but i'm actually using tilestache for serving the geojson
[22:25:34] <ybon> but this could be served by another framework
[22:25:38] <ybon> must by cached anyway
[22:26:16] <tom_m> honestly, i'm just trying to map gender data on a map. if it was a tile server serving up some sort of meaningful graphic in the tile images itself that'd be fine too
[22:26:32] <tom_m> i'm just kinda stuck on how best to map gender with such huge sample sizes
[22:26:43] <tom_m> that makes sense in a visual way
[22:26:51] <ybon> here is my try:
https://github.com/yohanboniface/djangopeople/blob/clientclustering/djangopeople/djangopeople/static/djangopeople/js/maps.js#L39
[22:28:02] <ybon> its work in progress, btw
[22:28:20] <tom_m> cool
[22:28:24] <tom_m> i'll take a look
[22:28:45] <tom_m> but i'm wondering if i should be going a different direction altogether. given that i'm only dealing with a few days data and eventually i'll have much much more
[22:28:52] <tom_m> here's what the end product will look like:
https://sphotos-b.xx.fbcdn.net/hphotos-ash4/258047_385378114867670_705622168_o.jpg
[22:29:04] <tom_m> so you can kinda see the problem :(
[22:29:15] <ybon> Here is an example from b_b:
http://tiles.kupaia.fr/demos/taxinomes.html
[22:29:19] <tom_m> pretty though ha
[22:29:24] <tom_m> til it crashes your computer :)
[22:29:59] <ybon> I see
[22:30:10] <tom_m> ah ok cool. that seems to handle a lot… but you can't click on them?
[22:30:11] <ybon> I think you'll have to make the clustering server side
[22:30:19] <ybon> humm, maybe not
[22:30:24] <ybon> but this is not a problem
[22:30:40] <ybon> they are marker, so you can just add a click event on them
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[22:30:59] <tom_m> o ok
[22:32:18] <tom_m> i can actually slice down data hourly. so i aggregate the data for the date range and then return it
[22:33:04] <tom_m> haven't ran into any time out situations yet but i don't know
[22:33:13] <tom_m> its just mapping it all that's killing the browser
[22:34:10] <tom_m> and giscloud just makes it look effortless
[22:34:23] <ybon> if you are using cluster, you must create the cluster, then add the marker to it, and then add it to the map
[22:34:37] <ybon> markers*
[22:34:38] <tom_m> right
[22:34:42] <tom_m> that's what i've been doing
[22:34:50] <ybon> giscloud solve the problem server side :)
[22:35:00] <tom_m> how do they do all that server side?
[22:35:29] <ybon> first, they do not return all the markers for a given area
[22:35:50] <ybon> secondly, they use tile layers, and then return only the markers for the visible areas
[22:36:09] <tom_m> they keep making requests like:
http://d3hkyp08xzfuu3.cloudfront.net/t/1316509973/map16671/layer81089/5/20/17.json
[22:36:31] <tom_m> so they are loading in chunks of 256x256..
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[22:37:09] <ybon> yes
[22:37:18] <ybon> one tile is 256x256
[22:38:01] <tom_m> so i'd have to send to the server the current zoom level and which tiles to get data for? and the server would cluster and send back the makers?
[22:38:24] <ybon> yes
[22:38:38] <ybon> this is was I'm doing for djangopeople
[22:39:25] <tom_m> so on the server side have to loop all points and figure out how far apart they are in order to cluster
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[22:40:19] <ybon> well, I've not yet done the cluster part ;)
[22:40:38] <ybon> but basically, it's somethink like the marching squares algorithm
[22:40:43] <ybon> something
[22:40:52] <tom_m> hmm makes it tough if you wanted to say load in a year's worth of data, when you have aggregate reports by the hour i guess, huh? :)
[22:42:12] <ybon> humm, not sure to get the point :(
[22:42:17] <tom_m> i gotta separate out this geo data from the rest of whats going on i guess. throw it in i don't know amazon simpledb or something
[22:42:40] <tom_m> then i can query by location / zoom level and date range
[22:42:41] <ybon> how is this data stored actually?
[22:43:15] <tom_m> in mongodb. then i run a group() and aggregate it by the hour. storing in the location based data in an object.
[22:43:18] <ybon> note that this kind of request is the job of something like tilestache server, which is easy to implement
[22:43:23] <ybon> ah
[22:43:34] <tom_m> with key being lat/lng : { male: 4, female: 10 }
[22:44:16] <tom_m> so when i get a month, i have to group 30 days * 24 = 720 hourly aggregate documents. loop each one's location object and combine them all
[22:44:50] <tom_m> then that gets returned to the browser. i have a big object with lat/lng and then how many of each for the coordinate
[22:45:02] <tom_m> so far not enough to create a timeout when actually querying for the data. so far
[22:45:34] <tom_m> price to store data is a concern too. so its tricky. everyone wants everything all mapped lol. why does it have to be mapped haha
[22:46:40] <ybon> i think you must split the data in more than one request
[22:47:27] <tom_m> yea i think so too
[22:48:05] <tom_m> i'm thinking something like amazon too. then i can kinda separate out data for billing
[22:48:28] <tom_m> and not worry about how much data is in there
[22:48:37] <tom_m> i like bottomless pits
[22:49:26] <ybon> tilestache can run anywere, and cache in S3, btw
[22:49:35] <tom_m> oh really… s3 may be better yet. cheaper
[22:49:37] <tom_m> to the cloud! :)
[22:50:15] <tom_m> maybe i should just shove everything into s3. its not like the data has to change
[22:50:56] <tom_m> and tilestache will be able to load up the data as i need it for the map?
[22:51:22] <ybon> humm
[22:51:34] <ybon> with the data stored in mongodb, I don't know
[22:51:46] <ybon> if you can store it in PostGIS, it's easy
[22:51:57] <tom_m> no i'll move it outta mongo that's fine.
[22:52:05] <ybon> but mongodb, never tried it with tilestache
[22:52:10] <tom_m> i mean it is fast but
[22:52:36] <tom_m> i think if the data is not changing once processed, i can move it off somewhere else. the storage costs of mongodb vs. s3 is just not worth it
[22:52:56] <tom_m> anywhere you run mongodb it's going to be more expensive to store the data. you get the benefit of geo location indexing but
[22:53:40] <tom_m> http://www.mongodb.org/display/DOCS/Geospatial+Indexing … not sure if that'll help out or not
[22:55:12] <ybon> humm
[22:55:38] <ybon> so, if tilestache has no provider for mondodb, it could be quite easy to make some
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[22:56:34] <tom_m> that's an idea
[22:57:46] <tom_m> so does tilestache send back data for markers? or does it just send back images for the map?
[22:58:28] <ybon> both
[22:58:41] <ybon> it can serve images, or strucutred data, like geojson
[22:58:59] <tom_m> oh ok i see, the providers
[22:59:47] <tom_m> so its an entire map server? i can have my own images and everything huh
[23:00:25] <ybon> yes
[23:00:28] <ybon> but cache it :p
[23:02:08] <tom_m> cool
[23:02:25] <tom_m> well, this is gonna be a slight detour :) but thanks for turning me on to this tool
[23:02:34] <tom_m> i didn't exactly plan to have to build something like this ha
[23:03:13] <ybon> ;)
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