4.6 Article

Designing geo-spatial interfaces to scale process models: the GeoWEPP approach

Journal

HYDROLOGICAL PROCESSES
Volume 17, Issue 5, Pages 1005-1017

Publisher

JOHN WILEY & SONS LTD
DOI: 10.1002/hyp.1177

Keywords

process modelling; scaling; graphical user interface; environmental assessment; geographical information systems; digital elevation model; soil erosion

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Practical decision making in spatially distributed environmental assessment and management is increasingly based on environmental process models linked to geographical information systems. Powerful personal computers and Internet-accessible assessment tools are providing much greater public access to, and use of, environmental models and geo-spatial data. However traditional process models, such as the water erosion prediction project (WEPP), were not typically developed with a flexible graphical user interface (GUI) for applications across a wide range of spatial and temporal scales, utilizing readily available geo-spatial data of highly variable precision and accuracy, and communicating with a diverse spectrum of users with different levels of expertise. As the development of the geo-spatial interface for WEPP (GeoWEPP) demonstrates, the GUI plays a key role in facilitating effective communication between the tool developer and user about data and model scales. The GeoWEPP approach illustrates that it is critical to develop a scientific and functional framework for the design, implementation, and use of such geo-spatial model assessment tools. The way that GeoWEPP was developed and implemented suggests a framework and scaling theory leading to a practical approach for developing geo-spatial interfaces for process models. GeoWEPP accounts for fundamental water erosion processes, model, and users needs, but most important it also matches realistic data availability and environmental settings by enabling even non-GIS-literate users to assemble the available geo-spatial data quickly to start soil and water conservation planning. In general, it is potential users' spatial and temporal scales of interest, and scales of readily available data, that should drive model design or selection, as opposed to using or designing the most sophisticated process model as the starting point and then determining data needs and result scales. Copyright (C) 2003 John Wiley Sons, Ltd.

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