Julian Hagenauer

发表

Visualization of Crime Trajectories with Self-Organizing Maps : A Case Study on Evaluating the Impact of Hurricanes on Spatio-Temporal Crime Hotspots

Michael Leitner, Julian Hagenauer, Marco Helbich, 2011 .

Local modelling of land consumption in Germany with RegioClust

Julian Hagenauer, Marco Helbich, M. Helbich, 2018, Int. J. Appl. Earth Obs. Geoinformation.

Weighted merge context for clustering and quantizing spatial data with self-organizing neural networks

Julian Hagenauer, 2016, J. Geogr. Syst..

Mining urban land-use patterns from volunteered geographic information by means of genetic algorithms and artificial neural networks

Julian Hagenauer, Marco Helbich, M. Helbich, 2012, Int. J. Geogr. Inf. Sci..

Toward mapping land-use patterns from volunteered geographic information

Alexander Zipf, Jamal Jokar Arsanjani, Julian Hagenauer, 2013, Int. J. Geogr. Inf. Sci..

SPAWNN: A Toolkit for SPatial Analysis With Self‐Organizing Neural Networks

Julian Hagenauer, Marco Helbich, M. Helbich, 2016, Trans. GIS.

Big data in Geohazard; pattern mining and large scale analysis of landslides in Iran

Hossein Shafizadeh-Moghadam, Julian Hagenauer, Himan Shahabi, 2018, Earth Science Informatics.

Urban vegetation detection using radiometrically calibrated small-footprint full-waveform airborne LiDAR data

Markus Hollaus, Bernhard Höfle, Julian Hagenauer, 2012 .

Exploration of unstructured narrative crime reports: an unsupervised neural network and point pattern analysis approach

Michael Leitner, Julian Hagenauer, Marco Helbich, 2013 .

Performance analysis of radial basis function networks and multi-layer perceptron networks in modeling urban change: a case study

Hossein Shafizadeh-Moghadam, Julian Hagenauer, Marco Helbich, 2015, Int. J. Geogr. Inf. Sci..

Hierarchical self-organizing maps for clustering spatiotemporal data

Julian Hagenauer, Marco Helbich, M. Helbich, 2013, Int. J. Geogr. Inf. Sci..

A comparative study of machine learning classifiers for modeling travel mode choice

Julian Hagenauer, Marco Helbich, M. Helbich, 2017, Expert Syst. Appl..

Clustering Contextual Neural Gas: A New Approach for Spatial Planning and Analysis Tasks

Julian Hagenauer, Julian Hagenauer, 2015 .

Data on Healthy Food Accessibility in Amsterdam, The Netherlands

Julian Hagenauer, Marco Helbich, M. Helbich, 2017, Data.

Contextual neural gas for spatial clustering and analysis

Julian Hagenauer, Marco Helbich, M. Helbich, 2013, Int. J. Geogr. Inf. Sci..

Raum-zeitliche Analyse von Verbrechens-Hotspots mittels Trajektorien und Kohonen-Karten

Julian Hagenauer, Marco Helbich, Michael Leitner, 2011 .

Assessing the performance of 38 machine learning models: the case of land consumption rates in Bavaria, Germany

Hichem Omrani, Julian Hagenauer, Marco Helbich, 2019, Int. J. Geogr. Inf. Sci..

Artificial neural networks: methods and applications in spatial data mining

Julian Hagenauer, 2013 .

A geographically weighted artificial neural network

Julian Hagenauer, Marco Helbich, M. Helbich, 2021, Int. J. Geogr. Inf. Sci..

Data Mining of Collaboratively Collected Geographic Crime Information Using an Unsupervised Neural Network Approach

Julian Hagenauer, Marco Helbich, Michael Leitner, 2012 .

Data-Driven Regionalization of Housing Markets

Julian Hagenauer, Marco Helbich, Michael Leitner, 2013 .

OSMatrix – Grid-based Analysis and Visualiza- tion of OpenStreetMap

Julian Hagenauer, Oliver Roick, 2011 .