Bartosz Hawelka
Bartosz Hawelka
GIScience Doctoral College, Department of Geoinformatics - Z_GIS, University of Salzburg
Verified email at - Homepage
Cited by
Cited by
Geo-located Twitter as proxy for global mobility patterns
B Hawelka, I Sitko, E Beinat, S Sobolevsky, P Kazakopoulos, C Ratti
Cartography and geographic information science 41 (3), 260-271, 2014
From social sensor data to collective human behaviour patterns: Analysing and visualising spatio-temporal dynamics in urban environments
G Sagl, B Resch, B Hawelka, E Beinat
Proceedings of the GI-Forum, 54-63, 2012
Global multi-layer network of human mobility
A Belyi, I Bojic, S Sobolevsky, I Sitko, B Hawelka, L Rudikova, A Kurbatski, ...
International Journal of Geographical Information Science 31 (7), 1381-1402, 2017
Scaling of city attractiveness for foreign visitors through big data of human economical and social media activity
S Sobolevsky, I Bojic, A Belyi, I Sitko, B Hawelka, JM Arias, C Ratti
2015 IEEE International Congress on Big Data, 600-607, 2015
Money on the move: Big data of bank card transactions as the new proxy for human mobility patterns and regional delineation. the case of residents and foreign visitors in spain
S Sobolevsky, I Sitko, RT Des Combes, B Hawelka, JM Arias, C Ratti
2014 IEEE international congress on big data, 136-143, 2014
Cities through the prism of people’s spending behavior
S Sobolevsky, I Sitko, R Tachet des Combes, B Hawelka, J Murillo Arias, ...
PloS one 11 (2), e0146291, 2016
The mobility network of European tourists: a longitudinal study and a comparison with geo-located Twitter data
D Provenzano, B Hawelka, R Baggio
Tourism Review 73 (1), 28-43, 2018
Mining urban performance: Scale-independent classification of cities based on individual economic transactions
S Sobolevsky, I Sitko, S Grauwin, RT Combes, B Hawelka, JM Arias, ...
arXiv preprint arXiv:1405.4301, 2014
Collective prediction of individual mobility traces for users with short data history
B Hawelka, I Sitko, P Kazakopoulos, E Beinat
PloS one 12 (1), e0170907, 2017
Sensing the public's reaction to crime news using the ‘Links Correspondence Method’
TJ Lampoltshammer, O Kounadi, I Sitko, B Hawelka
Applied geography 52, 57-66, 2014
Semi-automated Twitter-based Crime Scanner. DK GIScience Symposium 2013
T Lampoltshammer, O Kounadia, B Hawelka
@ TwitterTourism/I’m@ Salzburg-# GIForum is great
B Hawelka, P Ranacher, I Sitko, T Lampoltshammer
Comparative analysis of urban areas through mobile phone data signatures: a case study in the Amsterdam Metropolitan Region
F Dal Fiore, E Beinat, P Rietveld, B Hawelka
8th Symposium on Location Based Services. Vienna, Austria, 2011
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