Martin Behnisch

Publication Activity (10 Years)

Years Active: 2006-2022
Publications (10 Years): 7

Top Topics

Temporal Analysis

Influential Factors

Geographical Information

Top Venues

ISPRS Int. J. Geo Inf.

AGIT Journal Angew. Geoinformatik

Publications

Hendrik Herold, Martin Behnisch, Robert Hecht, Stefan Leyk
Geospatial Modeling Approaches to Historical Settlement and Landscape Analysis. ISPRS Int. J. Geo Inf. 11 (2) (2022)
Fernando Bação, Maribel Yasmina Santos, Martin Behnisch
Spatial Data Science. ISPRS Int. J. Geo Inf. 9 (7) (2020)
Robert Hecht, Hendrik Herold, Martin Behnisch, Mathias Jehling
Mapping Long-Term Dynamics of Population and Dwellings Based on a Multi-Temporal Analysis of Urban Morphologies. ISPRS Int. J. Geo Inf. 8 (1) (2019)
Martin Behnisch, Hanna Poglitsch, Tobias Krüger
Soil Sealing and the Complex Bundle of Influential Factors: Germany as a Case Study. ISPRS Int. J. Geo Inf. 5 (8) (2016)
Ulrich Schumacher, Iris Lehmann, Martin Behnisch
Modellansatz zur geotopographischen Analyse von Wohngebieten und urbaner grüner Infrastruktur. AGIT Journal Angew. Geoinformatik 2 (2016)
André Hartmann, Gotthard Meinel, Robert Hecht, Martin Behnisch
A Workflow for Automatic Quantification of Structure and Dynamic of the German Building Stock Using Official Spatial Data. ISPRS Int. J. Geo Inf. 5 (8) (2016)
Alfred Ultsch, Martin Behnisch, Jörn Lötsch
ESOM Visualizations for Quality Assessment in Clustering. WSOM (2016)
Martin Behnisch, Anne Bräuer, Ulrich Schumacher, Clemens Deilmann
Urban Pattern Specification using Spatial Metrics and Density Values. EnviroInfo (2012)
Martin Behnisch, Alfred Ultsch
Clustering Temporal Population Patterns in Switzerland (1850-2000). GfKl (2010)
Martin Behnisch, Alfred Ultsch
Estimating the Number of Buildings in Germany. GfKl (2008)
Martin Behnisch
Spatial Similarities in Urbanisation and Regional Diversity. EnviroInfo (2008)
Martin Behnisch, Alfred Ultsch
Urban Data Mining Using Emergent SOM. GfKl (2007)
Nguyen-Xuan Thinh, Martin Behnisch, Alfred Ultsch
Examination of Several Results of Different Cluster Analyses with a Separate View to Balancing the Economic and Ecological Performance Potential of Towns and Cities. GfKl (2006)