Marco Helbich

Orcid: 0000-0003-0392-8915

According to our database1, Marco Helbich authored at least 31 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A citizen science toolkit to collect human perceptions of urban environments using open street view images.
CoRR, 2024

To use or not to use proprietary street view images in (health and place) research? That is the question.
CoRR, 2024

2023
Letter to the Editor in reference to the article entitled '4D-GWR: geographically, altitudinal, and temporally weighted regression'.
Neural Comput. Appl., March, 2023

2022
Ecological Associations between Obesity Prevalence and Neighborhood Determinants Using Spatial Machine Learning in Chicago, Illinois, USA.
ISPRS Int. J. Geo Inf., 2022

A geographically weighted artificial neural network.
Int. J. Geogr. Inf. Sci., 2022

2021
Advances in portable sensing for urban environments: Understanding cities from a mobility perspective.
Comput. Environ. Urban Syst., 2021

2020
The Relationship between Near-Repeat Street Robbery and the Environment: Evidence from Malmö, Sweden.
ISPRS Int. J. Geo Inf., 2020

A Spatial Agent-Based Model to Assess the Spread of Malaria in Relation to Anti-Malaria Interventions in Southeast Iran.
ISPRS Int. J. Geo Inf., 2020

2019
Assessing the performance of 38 machine learning models: the case of land consumption rates in Bavaria, Germany.
Int. J. Geogr. Inf. Sci., 2019

The land transformation model-cluster framework: Applying <i>k</i>-means and the Spark computing environment for large scale land change analytics.
Environ. Model. Softw., 2019

2018
Local modelling of land consumption in Germany with RegioClust.
Int. J. Appl. Earth Obs. Geoinformation, 2018

2017
Frontiers in Spatial and Spatiotemporal Crime Analytics - An Editorial.
ISPRS Int. J. Geo Inf., 2017

A comparative study of machine learning classifiers for modeling travel mode choice.
Expert Syst. Appl., 2017

Data on Healthy Food Accessibility in Amsterdam, The Netherlands.
Data, 2017

2016
Spatially varying coefficient models in real estate: Eigenvector spatial filtering and alternative approaches.
Comput. Environ. Urban Syst., 2016

SPAWNN: A Toolkit for <i>SP</i>atial <i>A</i>nalysis <i>W</i>ith Self-Organizing <i>N</i>eural <i>N</i>etworks.
Trans. GIS, 2016

2015
An Introduction to OpenStreetMap in Geographic Information Science: Experiences, Research, and Applications.
Proceedings of the OpenStreetMap in GIScience - Experiences, Research, and Applications, 2015

An Exploration of Future Patterns of the Contributions to OpenStreetMap and Development of a Contribution Index.
Trans. GIS, 2015

Performance analysis of radial basis function networks and multi-layer perceptron networks in modeling urban change: a case study.
Int. J. Geogr. Inf. Sci., 2015

The emergence and evolution of OpenStreetMap: a cellular automata approach.
Int. J. Digit. Earth, 2015

Spatiotemporal variability of urban growth factors: A global and local perspective on the megacity of Mumbai.
Int. J. Appl. Earth Obs. Geoinformation, 2015

2014
A Morphological Approach to Predicting Urban Expansion.
Trans. GIS, 2014

Geostatistical mapping of real estate prices: an empirical comparison of kriging and cokriging.
Int. J. Geogr. Inf. Sci., 2014

2013
Analyzing Human Activities Through Volunteered Geographic Information: Using Flickr to Analyze Spatial and Temporal Pattern of Tourist Accommodation.
Proceedings of the Progress in Location-Based Services, 2013

Boosting the predictive accuracy of urban hedonic house price models through airborne laser scanning.
Comput. Environ. Urban Syst., 2013

Hierarchical self-organizing maps for clustering spatiotemporal data.
Int. J. Geogr. Inf. Sci., 2013

Contextual neural gas for spatial clustering and analysis.
Int. J. Geogr. Inf. Sci., 2013

Toward mapping land-use patterns from volunteered geographic information.
Int. J. Geogr. Inf. Sci., 2013

Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion.
Int. J. Appl. Earth Obs. Geoinformation, 2013

2012
Mining urban land-use patterns from volunteered geographic information by means of genetic algorithms and artificial neural networks.
Int. J. Geogr. Inf. Sci., 2012

2010
Evaluation of Spatial Cluster Detection Algorithms for Crime Locations.
Proceedings of the Challenges at the Interface of Data Analysis, Computer Science, and Optimization - Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21, 2010


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