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Tuomas Väisänen
Tuomas Väisänen
Post-doctoral researcher, Digital Geography Lab, University of Helsinki
Verifisert e-postadresse på helsinki.fi - Startside
Tittel
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Escaping from cities during the COVID-19 crisis: Using mobile phone data to trace mobility in Finland
E Willberg, O Järv, T Väisänen, T Toivonen
ISPRS international journal of geo-information 10 (2), 103, 2021
1102021
Exploring human–nature interactions in national parks with social media photographs and computer vision
T Väisänen, V Heikinheimo, T Hiippala, T Toivonen
Conservation Biology 35 (2), 424-436, 2021
672021
Mapping urban linguistic diversity with social media and population register data
T Väisänen, O Järv, T Toivonen, T Hiippala
Computers, Environment and Urban Systems 97, 101857, 2022
222022
Mapping the languages of Twitter in Finland
T Hiippala, T Väisänen, T Toivonen, O Järv
Neuphilologische Mitteilungen 121 (1), 12-44, 2020
162020
Making sense of linguistic diversity in Helsinki, Finland: The timespace of affects in the linguistic landscape
HM Pienimäki, T Väisänen, T Hiippala
Journal of Sociolinguistics 28 (2), 3-21, 2024
132024
Extracting locations from sport and exercise-related social media messages using a neural network-based bilingual toponym recognition model
P Liu, S Koivisto, T Hiippala, C van der Lijn, T Väisänen, M Nurmi, ...
Journal of Spatial Information Science, 2022
122022
Revealing mobilities of people to understand cross-border regions: insights from Luxembourg using social media data
O Järv, HW Aagesen, T Väisänen, S Massinen
European Planning Studies 31 (8), 1754-1775, 2023
112023
A multimodal approach to physical and virtual linguistic landscapes across different spatial scales
T Hiippala, T Väisänen, HM Pienimäki
Sociolinguistic variation in urban linguistic landscapes 24, 2024
62024
Capturing urban diversity through languages: Long‐term changes in multilingual residential neighbourhoods in the Helsinki Metropolitan Area
T Väisänen, O Järv, T Toivonen, T Hiippala
Population, Space and Place 30 (1), e2717, 2024
32024
Livestock Detection and Counting in Kenyan Rangelands Using Aerial Imagery and Deep Learning Techniques
IA Ocholla, P Pellikka, F Karanja, I Vuorinne, T Väisänen, M Boitt, ...
Remote Sensing 16 (16), 2024
22024
Diversity of Places and People: Using big data to undersand languages and activities across geographical space
T Väisänen
Helsingin yliopisto, 2023
12023
tweetsearcher: A Python tool to download Tweets using Academic Research credentials
TLA Väisänen, S Sirkiä, T Hiippala, O Järv, T Toivonen
12021
Edge-bundling tool for regional mobility flow data
TLA Väisänen, OT Inkeröinen, M Malekzadeh, O Järv
2024
Edge-bundled spatial layer to visualize mobility flows in Europe on NUTS 2 level
OT Inkeröinen, TLA Väisänen, O Järv
2024
Correction: Ocholla et al. Livestock Detection and Counting in Kenyan Rangelands Using Aerial Imagery and Deep Learning Techniques. Remote Sens. 2024, 16, 2929
IA Ocholla, P Pellikka, F Karanja, I Vuorinne, T Väisänen, M Boitt, ...
Remote Sensing 16 (19), 3656, 2024
2024
BorderRegion_KDE tool
M Söderholm, HW Aagesen, TLA Väisänen, O Järv
2023
Developing livestock detection model for very high-resolution satellite imagery using aerial imagery and deep learning in Kenya
IA Ocholla, P Pellikka, F Karanja, M Boitt, TLA Väisänen, I Vuorinne, ...
2023
Yleistyvä monipaikkainen asuminen on huomioitava kriisinhallinnassa
E Willberg, O Järv, TLA Väisänen, T Toivonen
Helsingin yliopisto, Kaupunkitutkimusinstituutti Urbaria, 2021
2021
Pako kaupungeista maalle?
E Willberg, O Järv, TLA Väisänen, T Toivonen
Positio: paikkatiedon erikoislehti, 5-7, 2021
2021
Green Paths route planning software
J Helle, A Poom, E Willberg, TLA Väisänen, T Toivonen
2020
Systemet kan ikke utføre handlingen. Prøv på nytt senere.
Artikler 1–20