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Martin F. A. M. van Maarseveen
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2020 – today
- 2021
- [j15]Aulia Akbar
, Johannes Flacke
, Javier Martinez Martin
, Martin F. A. M. van Maarseveen
:
The Role of Participatory Village Maps in Strengthening Public Participation Practice. ISPRS Int. J. Geo Inf. 10(8): 512 (2021) - 2020
- [j14]Abhishek Nair
, Diana Reckien
, Martin F. A. M. van Maarseveen:
Generalised fuzzy cognitive maps: Considering the time dynamics between a cause and an effect. Appl. Soft Comput. 92: 106309 (2020) - [j13]Aulia Akbar
, Johannes Flacke
, Javier Martinez Martin
, Rosa Aguilar
, Martin F. A. M. van Maarseveen
:
Knowing My Village from the Sky: A Collaborative Spatial Learning Framework to Integrate Spatial Knowledge of Stakeholders in Achieving Sustainable Development Goals. ISPRS Int. J. Geo Inf. 9(9): 515 (2020) - [c4]Aulia Akbar
, Johannes Flacke, Javier Martinez Martin, Martin F. A. M. van Maarseveen:
A Collaborative Framework to Improve Public Participation Practice. PDC (2) 2020: 133-137
2010 – 2019
- 2019
- [j12]Abhishek Nair
, Diana Reckien
, Martin F. A. M. van Maarseveen:
A generalised fuzzy cognitive mapping approach for modelling complex systems. Appl. Soft Comput. 84 (2019) - [j11]Mark Brussel
, Mark Zuidgeest, Karin Pfeffer, Martin van Maarseveen:
Access or Accessibility? A Critique of the Urban Transport SDG Indicator. ISPRS Int. J. Geo Inf. 8(2): 67 (2019) - 2018
- [j10]Lydia Marleny Prieto
, Johannes Flacke
, Jonathan Aguero-Valverde, Martin van Maarseveen:
Measuring Inequality of Opportunity in Access to Quality Basic Education: A Case Study in Florida, US. ISPRS Int. J. Geo Inf. 7(12): 465 (2018) - [j9]Monika Kuffer
, Karin Pfeffer, Richard Sliuzas
, Hannes Taubenböck
, Isa Baud
, Martin van Maarseveen:
Capturing the Urban Divide in Nighttime Light Images From the International Space Station. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(8): 2578-2586 (2018) - [j8]Ying Zhang, Mark J. G. Brussel, Tom Thomas, Martin F. A. M. van Maarseveen:
Mining bike-sharing travel behavior data: An investigation into trip chains and transition activities. Comput. Environ. Urban Syst. 69: 39-50 (2018) - [c3]Sara Mehryar, Nina Schwarz, Richard Sliuzas
, Martin van Maarseveen:
Making Use of Fuzzy Cognitive Maps in Agent-Based Modeling. ESSA 2018: 307-313 - [c2]Sara Mehryar, Richard Sliuzas
, Nina Schwarz, Martin van Maarseveen:
Policy Option Simulation in Socio-ecological Systems. ESSA 2018: 315-320 - 2017
- [j7]Monika Kuffer
, Karin Pfeffer, Richard Sliuzas
, Isa Baud
, Martin van Maarseveen:
Capturing the Diversity of Deprived Areas with Image-Based Features: The Case of Mumbai. Remote. Sens. 9(4): 384 (2017) - [c1]Monika Kuffer
, Richard Sliuzas
, Martin van Maarseveen, Karin Pfeffer, Isa Baud
:
City nighttime light variations using ISS images. JURSE 2017: 1-4 - 2015
- [j6]Mark H. P. Zuidgeest, Mark J. G. Brussel, Martin F. A. M. van Maarseveen:
GIS for Sustainable Urban Transport. ISPRS Int. J. Geo Inf. 4(4): 2583-2585 (2015) - 2014
- [j5]Arif Wismadi, Mark Zuidgeest, Mark Brussel, Martin F. A. M. van Maarseveen:
Spatial Preference Modelling for equitable infrastructure provision: an application of Sen's Capability Approach. J. Geogr. Syst. 16(1): 19-48 (2014) - 2013
- [j4]Mohammed Aljoufie, Mark Brussel, Mark Zuidgeest, Martin F. A. M. van Maarseveen:
Urban growth and transport infrastructure interaction in Jeddah between 1980 and 2007. Int. J. Appl. Earth Obs. Geoinformation 21: 493-505 (2013) - [j3]Edward Beukes, Marianne Vanderschuren
, Mark Zuidgeest, Mark Brussel, Martin F. A. M. van Maarseveen:
Quantifying the Contextual Influences on Road Design. Comput. Aided Civ. Infrastructure Eng. 28(5): 344-358 (2013) - 2012
- [j2]Arif Wismadi, Mark Brussel, Mark Zuidgeest, Heru Sutomo, Lukito Edi Nugroho, Martin F. A. M. van Maarseveen:
Effect of neighbouring village conditions and infrastructure interdependency on economic opportunity: A case study of the Yogyakarta region, Indonesia. Comput. Environ. Urban Syst. 36(5): 371-385 (2012)
2000 – 2009
- 2006
- [j1]Frans Tillema, Kasper M. Van Zuilekom, Martin F. A. M. van Maarseveen:
Comparison of Neural Networks and Gravity Models in Trip Distribution. Comput. Aided Civ. Infrastructure Eng. 21(2): 104-119 (2006)
Coauthor Index
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