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6篇 您的检索式：作者名="Sheeren"

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		题名	作者	年代	出处	被引量
	1	A data-mining approach for assessing consistency between multiple representations in spatial databases显示文摘	Sheeren D Mustiere S Zucker J D	2009	lnternational Journal of Geographi- cal Information Science2009，23，8：	1
	2	Can the theory ofplanned behavior explain patterns of health behavior change?显示文摘	SHEEREN P CONNER M NORMAN P	2001	Health Psy2001，20，1：	1
	3	Establishment of a geographic data dictionary: a case study of UrbIS 2 ? , the Brussels regional government GIS显示文摘	Dimos Pantazis Bernard Cornélis Roland Billen David Sheeren	2001	Computers Environment and Urban Systems2001，，1：	1
	4	Vegetation cover degradation assessment in Madagascar savanna based on trend analysis of MODIS NDVI time series显示文摘	Jacquin A Sheeren D	2010	International Journal of Applied Earth Observation and Geoinformation2010，12，1：	1
	5	Vegetation cover degradation assessment in Madagascar savanna based on trend analysis of MODIS NDVI time series显示文摘	JACQUIN A SHEEREN O LACOMBE JP	2010	International journal of Applied Earth Observation and Geoinformation2010，12，：	1
	6	Evaluating the Spatial Uncertainty of Future Land Abandonment in a Mountain Valley(Vicdessos, Pyrenees-France): Insights from Model Parameterization and Experiments显示文摘European mountains are particularly sensitive to climatic disruptions and land use changes.The latter leads to high rates of natural reforestation over the last 50 years. Faced with the challenge of predicting possible impacts on ecosystem services,LUCC models offer new opportunities for land managers to adapt or mitigate their strategies.Assessing the spatial uncertainty of future LUCC is crucial for the definition of sustainable land use strategies. However, the sources of uncertainty may differ, including the input parameters, the model itself, and the wide range of possible futures. The aim of this paper is to propose a method to assess the probability of occurrence of future LUCC that combines the inherent uncertainty of model parameterization and the ensemble uncertainty of the future based scenarios. For this purpose, we used the Land Change Modeler tool to simulate future LUCC on a study site located in the Pyrenees Mountains(France) and two scenarios illustrating two land use strategies. The model was parameterized with the same driving factors used for its calibration. The definition of ‘static vs. dynamic' and ‘quantitative vs.qualitative(discretized)' driving factors, and their combination resulted in four parameterizations. The combination of model outcomes produced maps of the spatial uncertainty of future LUCC. This work involves adapting the definition of spatial uncertainty in the literature to future-based LUCC studies. It goes beyond the uncertainty of simulation models by integrating the uncertainty of the future to provide maps to help decision makers and land managers.	Thomas Houet Laure Vacquié David Sheeren	2015	Journal of Mountain Science2015，12，5：	0

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