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trends and future of sustainable development - TransEco

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2.2. MethodsFigure illustrates the key stages in the case study analysis. For more in-depth description <strong>of</strong> thematerials <strong>and</strong> methods see the relevant SMILE deliverables 1 . The key challenges in undertaking theanalyses were familiarisation with the DECOIN methods (WP2), agreeing a scope with the CNPAthrough the systems diagramming activity (WP2) <strong>and</strong> sourcing <strong>and</strong> integrating the required datasets(WP3). SUMMA is dem<strong>and</strong>ing in terms <strong>of</strong> its data requirements (>250 input values for each <strong>of</strong> the threetime periods). While with MuSIASEM it is possible to progressively step into the degree <strong>of</strong> detailedrequired, there were many challenges <strong>of</strong> incompatible sectoral classifications <strong>and</strong> units <strong>of</strong> spatialcollection. Several <strong>of</strong> these could be overcome by accessing more detailed datasets, but energythroughput datasets were limiting both in terms <strong>of</strong> spatial resolution <strong>and</strong> length <strong>of</strong> time series available,(only from 2005). For l<strong>and</strong> use there are multiple sources but their integration (beyond the agriculturalsector) is limited. Indeed it was not possible to complete the within-CNP l<strong>and</strong> use analysis within thescope <strong>of</strong> SMILE.Figure 1.Scotl<strong>and</strong> case study activities <strong>and</strong> deliverables.3. ResultsWithin this paper it is only possible to present examples <strong>of</strong> the key types <strong>of</strong> outputs used incommunications with stakeholders at CNPA, not to summarise all the outputs generated 2 .1www.macaulay.ac.uk/SMILE2See www.macaulay.ac.uk/SMILE for more comprehensive examples.23

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