Screenshot of X. Bressaud's movie "CrossSaigonRealLife".
Communities within the crisis monetary help network
Companionship in leisure time in crisis periods From Figure 4a, Reciprocity in social networks - A case study in Tamil Nadu, India, by S. Arumugam et al.
Associating Poverty Rates and Totals with GDP/capita for Major Regions From Figure 3, Bubble Rap: Visualizing Poverty Dynamics, by Jonathan Haughton.
Evolution of Land Use in Corvo Island From Figure 4, Unsustainable Cities, a Tragedy of Urban Networks, by Tomaz Ponce Dentinho, Fabiola Sabino Gil and Paulo Silveira.
Joint posterior for (p1, p2) (top) and marginal posterior for p1 (bottom left) and p2 (bottom right) From Figure 1, An Analysis of Daily Predictions for the 2008 United States Presidential Election, by Steven Rigdon, Edward Sewell, Sheldon Jacobson, Wendy Cho and Christopher Rigdon.
Diffuse fraction vs clearness index from the BRL diffuse fraction model for 3 AST values, 3 solar elevations, 4 daily clearness indices and 4 persistence values From Figure 1, Derivation of a Solar Diffuse Fraction Model in a Bayesian Framework by Philippe Lauret, John Boland and Barbara Riley.
Kohonen U-matrix From Figure 5, Exploratory Analysis of CIA Factbook Data Using Kohonen Self-Organizing Maps by Guangying Hua, Maria Skaletsky and Kimberly Westermann.
Three dimensional perspective plot of bivariate kernel density for male and female visits to a general practitioner From Figure 4, Estimating Health Determinants of Healthcare Utilisation: A Nonparametric Approach, by Mncedisi Michael Willie.
Typical waste situation in Dakar, Senegal From Figure 1, Collecting Household Waste in Dakar: Does it Cost That Much? An Application of Contingent Valuation, by Ahmadou Aly Mbaye.
Left: Proportional symbol map of the number of inhabitants per IRIS. Middle & Right : Logarithm transformation of the population density estimated by a nonparametric kernel method with a global bandwidth (Middle) and a local bandwidth obtained by k-nearest neighbors (Right). From Figure 10, Exploring and Modeling Fire Department Emergencies with a Spatio-Temporal Marked Point Process, by Florent Bonneu
Survey sectors in the Indre-et-Loire department, by cluster of predicted probabilities. The size of the points representing large-surface stores is proportional to their retail spaces (Figure 12 from Markley)
Data are provided along with each article by clicking on the link "Supplementary files" at the right hand side of the screen ("Article tools", once the article page is reached).