Martin Paegelow

According to our database, Martin Paegelow authored at least 15 papers between 2005 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Comparing the structural uncertainty and uncertainty management in four common Land Use Cover Change (LUCC) model software packages.

David García Álvarez, María Teresa Camacho Olmedo, Hedwig van Delden, Jean-François Mas, Martin Paegelow

Environ. Model. Softw., 2022

2019

Sensitivity of a common Land Use Cover Change (LUCC) model to the Minimum Mapping Unit (MMU) and Minimum Mapping Width (MMW) of input maps.

David García Álvarez, María Teresa Camacho Olmedo, Martin Paegelow

Comput. Environ. Urban Syst., 2019

Improving Business-as-Usual Scenarios in Land Change Modelling by Extending the Calibration Period and Integrating Demographic Data.

Romain Mejean, Martin Paegelow, Mehdi Saqalli, Doryan Kaced

Proceedings of the Geospatial Technologies for Local and Regional Development, 2019

2017

Land Change Modeling Handling with Various Training Dates.

Martin Paegelow

Proceedings of the GISTAM 2017, 2017

2015

Vectorisation automatique des forêts dans les minutes de la carte d'état-major du 19e siècle.

Pierre-Alexis Herrault, David Sheeren, Mathieu Fauvel, Martin Paegelow

Rev. Int. Géomatique, 2015

Comparison of simulation models in terms of quantity and allocation of land change.

María Teresa Camacho Olmedo, Robert Gilmore Pontius Jr., Martin Paegelow, Jean-François Mas

Environ. Model. Softw., 2015

2014

Inductive pattern-based land use/cover change models: A comparison of four software packages.

Jean-François Mas, Melanie Kolb, Martin Paegelow, María Teresa Camacho Olmedo, Thomas Houet

Environ. Model. Softw., 2014

2013

Land change modelling: moving beyond projections.

Martin Paegelow, María Teresa Camacho Olmedo, Jean-François Mas, Thomas Houet, Robert Gilmore Pontius Jr.

Int. J. Geogr. Inf. Sci., 2013

Interest in intermediate soft-classified maps in land change model validation: suitability versus transition potential.

María Teresa Camacho Olmedo, Martin Paegelow, Jean-François Mas

Int. J. Geogr. Inf. Sci., 2013

Automatic Extraction of Forests from Historical Maps Based on Unsupervised Classification in the CIELab Color Space.

Pierre-Alexis Herrault, David Sheeren, Mathieu Fauvel, Martin Paegelow

Proceedings of the Geographic Information Science at the Heart of Europe, 2013

2012

PRÉSENTATION. Géomatique et ingénierie de l'information. Objets mobiles et réseaux spatiaux.

Claude Monteil, Martin Paegelow, Florence Sèdes

Ingénierie des Systèmes d Inf., 2012

2011

Éditorial.

Claude Monteil, Martin Paegelow

Rev. Int. Géomatique, 2011

Éclairer le choix des outils de simulation des changements des modes d'occupation et d'usages des sols. Une approche comparative.

Jean-François Mas, Melanie Kolb, Thomas Houet, Martin Paegelow, María Teresa Camacho Olmedo

Rev. Int. Géomatique, 2011

2007

Various Approaches for Predicting Land Cover in Mountain Areas.

Nathalie Villa, Martin Paegelow, María Teresa Camacho Olmedo, Laurence Cornez, Frédéric Ferraty, Louis Ferré, Pascal Sarda

Commun. Stat. Simul. Comput., 2007

2005

Possibilities and limits of prospective GIS land cover modelling - a compared case study: Garrotxes (France) and Alta Alpujarra Granadina (Spain).

Martin Paegelow, María Teresa Camacho Olmedo

Int. J. Geogr. Inf. Sci., 2005