Ikuti
Marco Helbich
Judul
Dikutip oleh
Dikutip oleh
Tahun
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
12002021
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
9652013
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
5192019
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
4592013
A comparative study of machine learning classifiers for modeling travel mode choice
J Hagenauer, M Helbich
Expert Systems with Applications 78, 273-282, 2017
4202017
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
2732013
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
2572019
Toward dynamic urban environmental exposure assessments in mental health research
M Helbich
Environmental research 161, 129-135, 2018
2472018
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
2462014
Elderly travel frequencies and transport mode choices in Greater Rotterdam, the Netherlands
L Böcker, P van Amen, M Helbich
Transportation 44, 831-852, 2017
2442017
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
1962018
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
1642015
Nature's contributions in coping with a pandemic in the 21st century: A narrative review of evidence during COVID-19
SM Labib, MHEM Browning, A Rigolon, M Helbich, P James
Science of The Total Environment 833, 155095, 2022
1612022
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
1602013
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
1592012
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
1582012
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
1512015
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
1402016
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
1402015
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
1352018
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