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Uudet datalähteet ihmisten liikkumisen
tutkimuksessa
Uudet datalähteet ihmisten liikkumisen
tutkimuksessa
Liikkuminen on arkipäivän
peruskysymyksiä
Toivonen et al. / MetropAccess / HY /
Kauanko kestää?
Ilmastonmuutoksen
torjunta
Liikkuminen globaalimuutosten
taustalla
Liikkuminen “uusi paradigma“
Tietolähteitä liikkumistutkimukseen
Haastattelut
Matkapäiväkirjat
GPS-kampanjat
ihmisten liikkumisen
tutkimiseksi
Tilastot
(esim. työssäkäynti,
matkailu)
Tietolähteitä liikkumistutkimukseen
Haastattelut
Matkapäiväkirjat
GPS-kampanjat
ihmisten liikkumisen
tutkimiseksi
Passiivinen kartoitus
- Matkapuhelinaineistot
- Sosiaalisen median
datat
Tilastot
(esim. työssäkäynti,
matkailu)
DIGITAL
GEOGRAPHY LABSupporting sustainable spatial planning
using digital data and novel methods
http://www.helsinki.fi/digital-geography
DIGITAL
GEOGRAPHY LAB
Tuuli
Toivonen
Enrico
Di Minin
Anna
Hausmann
Henrikki
Tenkanen
Olle
Järv
Vuokko
Heikinheimo
Tuomo
Hiippala
Maria
Salonen
Gonzalo
Cortés Capano
Joel
Jalkanen
Johanna
Eklund
Ainokaisa
Tarnanen
Ludovic
Chastenet
Elias
Willberg
Digital Geography Lab
MATKAPUHELINAINEISTOT PALJASTAVAT
LIIKKUMISEN LAAJOJA RAKENTEITA
Ihmisten liikkuminen Virossa pitkän ajan kuluessa,
matkapuhelin aineiston perusteella
Olle Järv 2015
… ja päivittäin
Olle Järv 2015
Kaupunkiseutujen vaikutusalueiden tarkastelu
liikkumistiedon perusteella
Ahas, R., Silm, S., Leetmaa, K., Tammaru, T., Saluveer, E., Järv, O., Aasa, A., Tiru,
M. (2010). The Regional Commuting Study. Estonian Ministry of the Interior.
Sosio-spatiaaliset rakenteet liikkumisen taustalla?
(Järv et al., 2014)
Missä Tallinnalaiset käyvät Tallinnan ulkopuolella?
SOSIAALINEN MEDIA SAATTAA KERTOA ENEMMÄN,
AVOIMEMMIN JA GLOBAALIMMIN
Geotägätty sisältö
Photo: @htenkanen / Instagram
GEOTAG
KÄYTTÄJÄ
TYKKÄYKSET/
KOMMENTIT
KUVASISÄLTÖ
TEKSTISISÄLTÖ
AIKALEIMA
MISSÄ?
MITÄ?
MIKSI?KUKA?
MILLOIN?
GEOTAGIT AIKALEIMAT
KÄYTTÄJÄ-
TIEDOT
SISÄLLÖT
Liikkumisen
tutkimus
Di Minin, Tenkanen & Toivonen (2015) Frontiers in Environmental Sciences
Kaksi viikkoa globaalia Instagram-dataa
Turistien keskittymät kaupungissa
Huang (2016): Context-Aware Location Recommendation Using Geotagged Photos
in Social Media, ISPRS Int. J. Geo-Inf. 2016, 5(11), 195; doi:10.3390/ijgi5110195
(map data © OpenStreetMap contributors, CC-BY-SA).
• http://www.nature.com/articles/srep02976
Maailman turistikohteiden vierailut vs.
Sosiaalisen median postaukset
Wood et al. (2013)
Using social media
to quantify
nature-based
tourism and
recreation
Suomen kansallispuistojen vierailut
vs. sosiaalisen median postaukset
Tenkanen et al. (2016) in review
Levin et al. (2015) Where have all the
people gone? Enhancing global
conservation using night lights and social
media.
Ecological Applications
Volume 25, Issue 8, pages 2153-2167, 1 DEC 2015 DOI:
10.1890/15-0113.1
http://onlinelibrary.wiley.com/doi/10.1890/15-
0113.1/full#i1051-0761-25-8-2153-f04
http://www.tandfonline.com/doi/pdf/10.1080/15230406.2014.890072
Hawelka et al.
(2014)
Geo-located Twitter
as proxy for global
mobility
patterns
Total photo-user-days each week
from 2006–2012 in (a) Zuccotti
Park, the site of the occupy
protest, (b) Black Rock Desert,
the site of the Burning Man
festival, and (c) southern
Vermont, an area popular for
viewing autumn foliage. Grey
shading indicates time periods
from the start of the protest until
people were barred from the
park (a), three weeks spanning
the annual week-long festival (b),
or the month of October each
year (c).
Wood et al. (2013)
http://www.nature.com/articles/srep02976
Sosiaalinen media vs. kävijätilastot
If we have good amount of data
R: 0.94
Tenkanen et al. (2017) in review
MISSÄ?
MITÄ?
MIKSI?KUKA?
MILLOIN?
GEOTAGIT AIKALEIMAT
KÄYTTÄJÄ-
TIEDOT
SISÄLLÖT
Liikkumisen
tutkimus
Di Minin, Tenkanen & Toivonen (2015) Frontiers in Environmental Sciences
“We also found variables
describing accessibility,
population density, income,
mountainous terrain, or
proximity to water explained a
significant portion
of observed variation across
data from the different
platforms.”
Van Zanten et al. (2016)
Continental-scale quantification of landscape
values using social media data. PNAS,
www.pnas.org/cgi/doi/10.1073/pnas.1614158113
Valtion
suojelualueet
Andrienko et al. (2013),
Thematic Patterns in
Georeferenced
Tweets through
Space-Time Visual
Analytics.
Heikinheimo et al. 2017, ISPRS International Journal of Geo-Information
Aktiviteetit kyselytutkimuksissa ja
sosiaalisessa mediassa (Pallas)
Preferenssit kyselytutkimuksissa
ja sosiaalisessa mediassa (Kruger)
Hausmann et al. 2016
MISSÄ?
MITÄ?
MIKSI?KUKA?
MILLOIN?
GEOTAGIT AIKALEIMAT
KÄYTTÄJÄ-
TIEDOT
SISÄLLÖT
Liikkumisen
tutkimus
Di Minin, Tenkanen & Toivonen (2015) Frontiers in Environmental Sciences
Kuka? Nimien perusteella
Adnan, Lansley & Longley (2013) http://www.geocomputation.org/2013/papers/51.pdf
Kuka? Kuvien perusteella
See also: https://www.projectoxford.ai/demo/face#detection
Kuka? Kuvien perusteella
Kuka? Liikkumisen ja sisällön
perusteella
Pallas-Ylläs kansallispuiston kävijöiden
liikkumishistoria
Posts from a Finnish Instagram-user. 107 posts in total.
Kuka? Liikkumisen ja sisällön
perusteella
Pallas-Ylläs kansallispuiston kävijöiden
liikkumishistoria
Rogers Pass Summit,
Canada
Schladming-Dachstein, Austria Pallas-Yllästunturi National Park,
Finland
Posts from a Finnish Instagram-user. 107 posts in total.
Kuka? Liikkumisen ja sisällön
perusteella
Pallas-Ylläs kansallispuiston kävijöiden
liikkumishistoria
Sisältöanalyysi
kehittyy vauhdilla
Uudet datalähteet ihmisten liikkumisen
tutkimuksessa
Kiinnostavia mahdollisuuksia
liikkumisen eri ulottuvuuksien
ymmärtämiseen
Menetelmällinen kehitys
vauhdikasta
Tutkimus kypsymässä,
teknisistä kokeiluista
oikeiden kysymysten
äärelle
Kiitos!!
Email: tuuli.toivonen@helsinki.fi
Twitter: @TuuliToivonen
www.helsinki.fi/digital-geography

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Uudet datalähteet ihmisten liikkumisen tutkimuksessa

Hinweis der Redaktion

  1. Instagram is a social media platform that allows users to share photos and short videos. Profiles are either private or public according to the users choise. Content on public accounts is visible to everyone online. Changes in API behavior…
  2. We have visitor statistics from 18 Southern African National parks + from Finnish National parks that can be used to evaluate the presentativeness of social media data in estimating the visitor rates.