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dc.contributor.authorPijanowski, B.C.
dc.contributor.authorTayyebi, A.
dc.contributor.authorDouchette, J.
dc.contributor.authorPekin, Burak K.
dc.contributor.authorBraun, D.
dc.contributor.authorPlourde, J.
dc.date.accessioned2020-07-13T23:11:24Z
dc.date.available2020-07-13T23:11:24Z
dc.date.issued2014
dc.identifier.doi10.1016/j.envsoft.2013.09.015
dc.identifier.urihttp://hdl.handle.net/20.500.12634/513
dc.description.abstractThe Land Transformation Model (LTM) is a Land Use Land Cover Change (LUCC) model which was originally developed to simulate local scale LUCC patterns…. This paper provides an overview of the new architecture which we discuss within the context of modeling LUCC that requires: (1) using an HPC to run a modified version of our LTM; (2) managing large datasets in terms of size and quantity of files; (3) integration of tools that are executed using different scripting languages; and (4) a large number of steps necessitating several aspects of job management.
dc.language.isoen
dc.subjectGIS
dc.subjectMODELS
dc.subjectEXPERIMENTAL METHODS
dc.titleA big data urban growth simulation at a national scale: Configuring the GIS and neural network based Land Transformation Model to run in a High Performance Computing (HPC) environment
dc.typeArticle
dc.source.journaltitleEnvironmental Modelling & Software
dc.source.volume51
dc.source.beginpage250
dc.source.endpage268
dcterms.dateAccepted2014
html.description.abstractThe Land Transformation Model (LTM) is a Land Use Land Cover Change (LUCC) model which was originally developed to simulate local scale LUCC patterns…. This paper provides an overview of the new architecture which we discuss within the context of modeling LUCC that requires: (1) using an HPC to run a modified version of our LTM; (2) managing large datasets in terms of size and quantity of files; (3) integration of tools that are executed using different scripting languages; and (4) a large number of steps necessitating several aspects of job management.


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  • ICR Research Publications
    Works by SDZG's Institute for Conservation Research staff and co-authors. Includes books, book sections, articles and conference publications and presentations.

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