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For the integral analysis of landscape, a mapping methodology has been set.
A machine-driven 'cognitive mapping methodology' has been used to represent the multidimensional, non-linear, dynamic nature of clinical reasoning to confirm the importance of a sound knowledge base, as well as hypothesis generation and problem representation mechanisms.
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The concept mapping methodology had been used successfully in similar initiatives [ 17, 18, 21, 32].
In recent years, several renewable energy potential mapping methodologies have been developed (e.g., solar irradiation and wind estimation, geothermal and biomass energy) [10 12].
In this regard, group concept mapping (GCM) methodology has been used to good effect for strategic complex planning in other diseases including dementia 19 in addition to intervention planning and treatment decisions in cancer.
The third step, finally, always through the same query inferential methodology has allowed to switch from the maps of geographical regions characterized by homogeneity of features to the maps of the risks and environmental pressures (Fig. 7).
An integrated methodology has been developed to identify nonlinear relationships and mapping between 3-D seismic data and production log data.
Our experimental methodology has previously allowed us to locate discrete somatotopic maps of the digits in areas 3b and 1 [9].
In [10], a methodology has been developed to identify TV whitespace frequencies in the UK, using digital TV coverage maps in conjunction with a database containing their locations.
The methodology has varied.
Using this methodology has raised objections.
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