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This paper explores inclusive wealth (IW) index using visual interfaces, which provide better economic interpretation. Two views are provided for the visual representation: a cluster view and a timeline view. Among all variables of IW data we focus on three: natural capital, inclusive wealth and air pollution. Our IW data exploration starts with the task of illustrating the distribution of air pollution and wealth among different geographical regions and among regions of different economic growth over the 25-year period 1990–2014. Furthermore, we aim at the assessment of variation of natural capital across the years of study. We use different data visualization techniques to capture the multi-layer nature of IW data, to represent parts of the global multi-region multi-country dataset. [ABSTRACT FROM AUTHOR]

This paper investigates the evolution of natural assets and the relationship among natural, produced and human capital, for selected countries of six continents during the 25-year period 1990–2014. The paper employs an alternative graphical data analysis to picture variations and evolution schemes in capital data formation. Our novel contribution is to feature the underlying consumption or restoration of natural capital in relation with intertemporal man-made capital dynamics. The proposed graphical approach (i) has the advantage of being self-evident, (ii) depicts comparative results surpassing the problem of different scaling of the data (iii) examines the interdependence of the three types of capital data (i.e. natural capital, gross fixed capital formation or labor). We aim to uncover each country’s environmental policy at a glance and draw conclusions concerning environmental sustainability. [ABSTRACT FROM AUTHOR]

In this study we provide a computerized graph structure for synthesizing and displaying the data on a region’s ecosystem-economic system. By applying Mathematica-based graph modeling we create a causal network of the synergistic impact mechanism among certain climate related factors. Our computational approach identifies a climate factor that affects most immediately or most strongly the others. Important factors are indicated through the use of graph theoretical tools. Our graph-based approach and its computational aspects allow for factor ranking(s) according to their importance to the network both numerically and visually, for certain settlement types. Our contribution provides quantitative estimates of impacts and adaptation potentials of five potential effects of climate change (migration, flooding-landslides-fire, air and water pollution, human health and energy-water-other resources) which play a substantial role at the synergistic impact mechanism. By using graph visualization techniques, the structure of the synergistic impact mechanism is self-evident. Specifically, graph layouts are created to detect i) the causal relationships of the synergistic mechanism under study ii) the most influential factor(s) in the synergistic mechanism and iii) classify the factor’s roles (based on the degree of their impact) within the coping mechanism. Highlighting graph elements let information for policy implications stand out. [ABSTRACT FROM AUTHOR]