Titlebook: Computational Science and Its Applications - ICCSA 2014; 14th International C Beniamino Murgante,Sanjay Misra,Osvaldo Gervasi Conference pr

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Comparative Analysis of Models of Location and Spatial Interactionnt differentiated in space and time. These systems are very complex and make it difficult to understand the phenomena of urban and territorial transformation and their causes; therefore it is necessary to reduce their complexity to make it easier to effect analyses, forecasting, optimization and con

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Efficient and Provable White-Box Primitivess of such detail, opting instead for the state level. Network analysis allows the identification of communities with a certain degree of spatial structure, that is, the importance that geographical proximity plays in migration.

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Benjamin Fuller,Leonid Reyzin,Adam Smithl Risk Exposures (GRE). Therefore, it enables to develop medical solutions and public policies to improve the environmental health of populations, in line with the sustainable development objectives. Propositions are applied to the LEA cohort. The EstimGRE algorithm is the name of the method proposed.

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https://doi.org/10.1007/978-3-662-53887-6emission data were used as additional variable (proxy variable) to cokriging method. The results showed high performance because cokriging incorporates the spatial aurocorrelation and cross-correlation between the examined variables.

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A Cartographic and GIS Perspective of Geodiversity Analysis: The Iberian Peninsula/ Spain Case Studymodeling and analysis stages. The geodiversity study is based in drainage basins as basic spatial units for the analysis. Additionally, some diversity analysis has been conducted in relation to the 3D components relief zones.

nephritis