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Auteur D. Karssenberg |
Documents disponibles écrits par cet auteur (3)
Ajouter le résultat dans votre panier Affiner la recherche Interroger des sources externesModelling landscape dynamics with Python / D. Karssenberg in International journal of geographical information science IJGIS, vol 21 n° 5 (may 2007)
Titre : Modelling landscape dynamics with Python Type de document : Article/Communication Auteurs : D. Karssenberg, Auteur ; K. de Jong, Auteur ; J. Van Der Kwast, Auteur Année de publication : 2007 Article en page(s) : pp 483 - 495 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] calcul matriciel
[Termes IGN] données maillées
[Termes IGN] méthode de Monte-Carlo
[Termes IGN] modèle dynamique
[Termes IGN] modélisation 3D
[Termes IGN] propagation d'erreur
[Termes IGN] Python (langage de programmation)
[Termes IGN] simulation
[Termes IGN] visualisation de donnéesRésumé : (Auteur) A new tool for construction of models is presented that allows earth scientists without specialist knowledge in programming to convert theories to numerical computer models simulating landscape change through time. This tool, referred to as the PCRaster Python library, consists of: (1) the standard Python programming language, which is a generic, interpreted scripting language, supporting object oriented programming; (2) a large set of spatial and temporal functions on raster maps that are embedded in the Python language as an extension; (3) a framework provided as a Python class to construct and run iterative temporal models and to calculate error propagation with Monte Carlo simulation; and (4) visualization routines to display spatio-temporal data read and written by this framework. Python is a high-level programming language, and users of the tool do not have to be specialist computer programmers. Users of the PCRaster Python library can take advantage of several other Python libraries, such as extensions for matrix algebra and for modelling in three spatial dimensions. Copyright Taylor & Francis Numéro de notice : A2007-132 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/13658810601063936 En ligne : https://doi.org/10.1080/13658810601063936 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28495
in International journal of geographical information science IJGIS > vol 21 n° 5 (may 2007) . - pp 483 - 495[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-07031 RAB Revue Centre de documentation En réserve L003 Disponible 079-07032 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : Dynamic environmental modelling in GIS: 2. Modelling error propagation Type de document : Article/Communication Auteurs : D. Karssenberg, Auteur ; K. de Jong, Auteur Année de publication : 2005 Article en page(s) : pp 623 - 637 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] langage de modélisation
[Termes IGN] méthode de Monte-Carlo
[Termes IGN] modèle dynamique
[Termes IGN] modèle stochastique
[Termes IGN] modélisation 3D
[Termes IGN] modélisation spatio-temporelle
[Termes IGN] propagation d'erreurRésumé : (Auteur) Environmental modelling languages provide the possibility to construct models in two or three spatial dimensions. These models can be static models, without a time component, or dynamic models. Dynamic models are simulations run forward in time, where the state of the model at time t is defined as a function of its state in a period or time step preceding t. Since inputs and parameters of environmental models are associated with errors, environmental modelling languages need to provide techniques to calculate how these errors propagate to the output(s) of the model. Since these techniques are not yet available, the paper describes concepts for extending an environmental-modelling language with functionality for error-propagation modelling. The approach models errors in inputs and parameters as stochastic variables, while the error in the model outputs is approximated with a Monte Carlo simulation. A modelling language is proposed which combines standard functions in a structured script (program) for building environmental models, and calculation of error propagation in these models. A prototype implementation of the language is used in three example models to illustrate the concepts. Numéro de notice : A2005-286 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/13658810500104799 En ligne : https://doi.org/10.1080/13658810500104799 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27422
in International journal of geographical information science IJGIS > vol 19 n° 6 (july 2005) . - pp 623 - 637[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-05061 RAB Revue Centre de documentation En réserve L003 Disponible 079-05062 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : Dynamic environmental modelling in GIS: 1. modelling in three spatial dimensions Type de document : Article/Communication Auteurs : D. Karssenberg, Auteur ; K. de Jong, Auteur Année de publication : 2005 Article en page(s) : pp 559 - 579 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] discrétisation spatiale
[Termes IGN] langage de modélisation
[Termes IGN] langage de programmation
[Termes IGN] modèle dynamique
[Termes IGN] modélisation 3D
[Termes IGN] représentation du temps
[Termes IGN] voxelRésumé : (Auteur) Environmental modelling languages are programming languages developed for building computer models simulating environmental processes. They come with database and visualization routines for the data used in the models. Environmental modelling languages provide the possibility to construct dynamic models, also called forward models, which are simulations run forward in time, where the state of the model at time t is defined as a function of its state in a time step preceding t. Nowadays, these modelling languages can deal with simulations in two spatial dimensions, but existing software does not support the construction of models in three dimensions. We describe concepts of an environmental modelling language supporting dynamic model construction in two and three spatial dimensions. The lateral dimension is represented by gridded maps, with a regular discretization, while the vertical dimension is represented by an irregular discretization in voxels. Universal spatial functions are described with these entities of the modelling language as input. Dynamic modelling through time is possible by combining these functions in structured script sections, providing a section, which is executed repetitively, representing the time steps. The concepts of the language are illustrated with two example models, built with a prototype of the language. Numéro de notice : A2005-237 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/13658810500032362 En ligne : https://doi.org/10.1080/13658810500032362 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27374
in International journal of geographical information science IJGIS > vol 19 n° 5 (may 2005) . - pp 559 - 579[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-05051 RAB Revue Centre de documentation En réserve L003 Disponible 079-05052 RAB Revue Centre de documentation En réserve L003 Disponible
