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Mobmap as a visualization platform for spatio-temporal data

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hi this to me to I'm here all from Tokyo then today so I want to talk about at this moment then maybe so you may not mean you may you may not know this moment so what I came here to tell this of revision then
so be called so introducing this moment so it is my own company already if I had a look at the then I started my own company then this company a provider of Michael demographic data the estimated Posner there their sold all of all evil to create a semester you know there to be the will existed in this microdata then today so little bit about
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social but none of them will not is of so I mentioned before still running these DPs and the present to get there so these rights and so in the analysis of people put to get a there are a lot of our new form we can use it as a as a from of getting FIL January all also being the mother and the next then that initial sum them all
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is optimal not so please are you the
then the reason so what I came here is not to take a moment and uh so I'm rooting fall so preverite writers so that the thank you so much but she
that OK we've got about 3 minutes for questions for you know that was very interesting talk should the some questions that there anyway yes please microphone and then you uses a linear little mating demo yet that I had and see that he would kind keypad the abnormal amino of life so you mapping is is the Lebanon Malta the lack of outliers so should be we the given the confidence of because some hammer is annoyed at some there's some them is not bad so the with have some other good to build put description the confidence I mean maybe it's a probably take put tagged the it's a normal while some scene all it that it doesn't support for moderately does so that much so I mean so so you need it will come will make a in about self was where the death of flight my all right if it but had with a lot of which you need to question I think we're going to of course worldwide izbor interesting thing and on it I the I 1 what he's done all the load of normal event in this case for example so if the tycoon under us great and other so a small Fitch about at all can then so people get us then so so sometimes we just know we would like this and also of anomaly dense so easy but the so the theory of love of in the abandonment addiction need what data and there was also an ice is used but we can just know all it has 1 of but all right the 1 in our you shall be on the other but a big popularity is some woman if blood
that this thing is a how you can trick those the 2 how you can mildly status but in this case are this is a
part questionnaire Krishna bases data then the so some countries In all are investigates so people transportation so power 5 years or 10 years then we our it's making a pass interpersonal using 0 king then so creating by that kind of moving so it are of the mean disease of
the and I'm the sure about this but it was maybe even the delta Pepe old
donating their own knowledge APIs information here you made it difficult in getting those data from the yeah another few right and how how did you get those data from amenable moving data but give so there are several ways so well ways so probative is uh at the phone company then they can all they had so many data this is 1 case the normal cases from our government Gupta so we just cry so public data for those the so this of we didn't together yet yeah that was my question to but the source of the data but that is mostly a cell phone yeah data somehow gotten OK we are right at the break time and I think this me some parties and things tonight so I think we can stop right here on a big thanks to all 3 speakers I think is any other questions may be array can hang
around for a little bit maybe have some question time
but otherwise will officially an right now so thank you very much what you feel the but for it to me but the meter 1 more self if you have an interest soul uh to the the goal we had our hands on then so we a prose style that document on here so if you are going to with access to it so thank you the
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Metadaten

Formale Metadaten

Titel Mobmap as a visualization platform for spatio-temporal data
Serientitel FOSS4G Seoul 2015
Autor Sengoku, Hiroaki
Lizenz CC-Namensnennung - keine kommerzielle Nutzung - Weitergabe unter gleichen Bedingungen 3.0 Deutschland:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen und nicht-kommerziellen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen und das Werk bzw. diesen Inhalt auch in veränderter Form nur unter den Bedingungen dieser Lizenz weitergeben.
DOI 10.5446/32044
Herausgeber FOSS4G
Erscheinungsjahr 2015
Sprache Englisch
Produzent FOSS4G KOREA
Produktionsjahr 2015
Produktionsort Seoul, South Korea

Inhaltliche Metadaten

Fachgebiet Informatik
Abstract Mobmap is a visualization platform for spatio-temporal data easily and simply. This next generation GIS tools is released as a Google Chrome application for anyone. Recently, location data tend to be available to the public. This origin starts with the spread of iot devices including smartphone and open data such as aerial photos or satellite imageries. However, time series data analysis and visualisation on map tend to be unsupported by general gis software and libraries. Mobmap enables users to deal with time series location data. This presentation shows the summary and demos of Mobmap using several data examples such as simulated people flow data from geo tagged tweets and estimated building age transition data from multi temporal aerial photos, estimated future population.

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