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Integration of Land Use and Land Cover Models: Coupling Two Existing Models to Improve the Simulation of Location Choice
Date Issued
2016-07-14
Date Available
2017-01-04T16:51:40Z
Abstract
Single models do not usually provide all answers required for complex policy decisions, so an integrated modelling is often applied to inform policy makers and urban planners. Developing a fully integrated model is an expensive and time consuming task, thus, coupling existing models is often used for model integration. The paper provides an overview of potential model integration approaches, briefly describes the Simple Integrated Land Use Orchestrator (SILO) model and the Chesapeake Bay Land Change Model (CBLCM), and focuses on the integration method applied to link those models. Particularly, Python wrappers were developed to loosely couple SILO and CBLCM; while ArcGIS Model Builder was used to provide a graphical user interface. The suggested approach is especially efficient when the models are developed in different programming languages, their source code is not available or the licensing restrictions make other coupling approaches infeasible.
Sponsorship
European Commission - Seventh Framework Programme (FP7)
Other Sponsorship
GeoSInPo
Marie Curie Fellowship
Type of Material
Conference Publication
Publisher
International Congress on Environmental Modelling and Software
Start Page
696
End Page
703
Language
English
Status of Item
Peer reviewed
Part of
Sauvage, S., Sanchez-Perez, J.M. and Rizzoli, A. (eds.). Proceedings: International Environmental Modelling and Software Society (iEMSs) 8th International Congress on Environmental Modelling and Software
Conference Details
8th International Congress on Environmental Modelling and Software, Toulouse, France, 10-14 July 2016
ISBN
9788890357459
This item is made available under a Creative Commons License
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iEMS2016-Shahumyan_etal__Integrating_LU_and_LC_Models.pdf
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332.91 KB
Format
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