Marco Helbich
Cited by
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Psychological impacts from COVID-19 among university students: Risk factors across seven states in the United States
MHEM Browning, LR Larson, I Sharaievska, A Rigolon, O McAnirlin, ...
PloS one 16 (1), e0245327, 2021
Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion
JJ Arsanjani, M Helbich, W Kainz, AD Boloorani
International Journal of Applied Earth Observation and Geoinformation 21 …, 2013
Spatiotemporal urbanization processes in the megacity of Mumbai, India: A Markov chains-cellular automata urban growth model
HS Moghadam, M Helbich
Applied Geography 40, 140-149, 2013
Using deep learning to examine street view green and blue spaces and their associations with geriatric depression in Beijing, China
M Helbich, Y Yao, Y Liu, J Zhang, P Liu, R Wang
Environment international 126, 107-117, 2019
A comparative study of machine learning classifiers for modeling travel mode choice
J Hagenauer, M Helbich
Expert Systems with Applications 78, 273-282, 2017
Spatiotemporal simulation of urban growth patterns using agent-based modeling: The case of Tehran
JJ Arsanjani, M Helbich, E de Noronha Vaz
Cities 32, 33-42, 2013
Spatial heterogeneity in hedonic house price models: The case of Austria
M Helbich, W Brunauer, E Vaz, P Nijkamp
Urban Studies 51 (2), 390-411, 2014
Toward dynamic urban environmental exposure assessments in mental health research
M Helbich
Environmental research 161, 129-135, 2018
Urban greenery and mental wellbeing in adults: Cross-sectional mediation analyses on multiple pathways across different greenery measures
R Wang, M Helbich, Y Yao, J Zhang, P Liu, Y Yuan, Y Liu
Environmental research 176, 108535, 2019
Elderly travel frequencies and transport mode choices in Greater Rotterdam, the Netherlands
L Böcker, P van Amen, M Helbich
Transportation 44, 831-852, 2017
Exploring urban metabolism—Towards an interdisciplinary perspective
M Dijst, E Worrell, L Böcker, P Brunner, S Davoudi, S Geertman, ...
Resources, Conservation and Recycling 132, 190-203, 2018
Toward mapping land-use patterns from volunteered geographic information
J Jokar Arsanjani, M Helbich, M Bakillah, J Hagenauer, A Zipf
International Journal of Geographical Information Science 27 (12), 2264-2278, 2013
Mining urban land-use patterns from volunteered geographic information by means of genetic algorithms and artificial neural networks
J Hagenauer, M Helbich
International Journal of Geographical Information Science 26 (6), 963-982, 2012
An introduction to OpenStreetMap in Geographic Information Science: Experiences, research, and applications
J Jokar Arsanjani, A Zipf, P Mooney, M Helbich
OpenStreetMap in GIScience: Experiences, research, and applications, 1-15, 2015
Comparative spatial analysis of positional accuracy of OpenStreetMap and proprietary geodata
M Helbich, C Amelunxen, P Neis, A Zipf
Proceedings of GI_Forum 4, 24, 2012
Adult active transport in the Netherlands: an analysis of its contribution to physical activity requirements
E Fishman, L Böcker, M Helbich
PloS one 10 (4), e0121871, 2015
Spatiotemporal variability of urban growth factors: A global and local perspective on the megacity of Mumbai
H Shafizadeh-Moghadam, M Helbich
International Journal of Applied Earth Observation and Geoinformation 35 …, 2015
Natural and built environmental exposures on children's active school travel: A Dutch global positioning system-based cross-sectional study
M Helbich, MJZ van Emmichoven, MJ Dijst, MP Kwan, FH Pierik, ...
Health & place 39, 101-109, 2016
More green space is related to less antidepressant prescription rates in the Netherlands: A Bayesian geoadditive quantile regression approach
M Helbich, N Klein, H Roberts, P Hagedoorn, PP Groenewegen
Environmental research 166, 290-297, 2018
Geographic heterogeneity in cycling under various weather conditions: Evidence from Greater Rotterdam
M Helbich, L Böcker, M Dijst
Journal of Transport Geography 38, 38-47, 2014
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