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The data concerning land and real estate transactions, which for a long time were stored in various complex and sparsely accessible databases, are now more easily available since the opening of the DVF database ("Demandes de Valeurs Foncières" in French, "Real Estate Transaction Datafiles" in English) in 2019. However, the use of these information resources for analytical purposes requires time for acculturation and significant preparation work that should not be underestimated. This article presents a workflow dedicated to the analysis of open data DVF that we formalized in the R environment and documented in order to ensure replicability. This workflow illustrates the potential of these data to understand the spatial dynamics of residential real estate markets at different scales. Through a case study of the Brittany region and the Rennes urban/metropolitan area, the objective is to propose and discuss some methodological avenues for the preparation, analysis and (carto)graphic representation of these "new data" as well as the challenges and issues associated with their use.

Big data is a field of investigation rich in promises but still complex in renewing spatial mobility analysis. In fact, thinking about mobility through the prism of digital footprints raises many questions regarding the data nature, the accessibility procedures and the methods and techniques of treatment. This paper aims to explore the potential of digital footprints in the analysis of mobility through the example of data from the Carpooling platform BlaBlaCar. By analyzing (temporal and spatial) trips to and from city of Rennes over the course of 5 months, the goal is both to draw a portrait of Carpooling in the capital of Britanny and to give an overview of advantages and limitations of these data in understanding this new form of mobility.

The forms of socio-spatial differentiation found in Lima are for the most part in line with the model of Andean metropolises. There is, for example, an opposition between central areas occupied by the middle and upper classes and the more recent and lower-class areas in the peripheries. There is also a directional expansion of the wealthier areas, in this case, towards the east of the central areas. This model is still very pronounced but seems to have changed since the end of the last century with internal diversification of previously homogeneous units. Our objective is to understand the current spatial organization of social differentiation in Lima. On the basis of data of the last national census of population in 2007 and of a set of aerial photos and satellite images taken since the middle of the 20th century, we build on, at the level of the blocks, various cartographical and statistical indicators concerning the successive layers of the expansion of Lima and its current socio-spatial structure. We conclude from this first, that the urban area is organized according to a scale of social and urban integration which is registered spatially on a gradient, from the center towards the peripheries, in correlation with the time the blocks were built. In a second phase, a series of multidimensional statistical analyses which visually reintroduce each block allows us to moderate this conclusion by the means of the study of the variability inside each layer of expansion. It is thus possible to understand the current territorial dynamics and to formulate the hypothesis of a change in the structure contrasting the center and the peripheries.

Nowadays, cross-product statistics provide a complete set of procedures for exploratory spatial analysis, applied both to point patterns analysis as well as to map or image interpretation. Derived from the Mantel test in Epidemiology, these statistics developed in two main directions: correlation analysis and spatial auto regression by the generalised Mantel test on the one hand, global and local analysis of spatial dependency with correlograms and local indicators of spatial autocorrelation on the other hand.

Cartography is a discipline which evolves simultaneously with the sciences it uses. Initially, the contributions of the geometry enabled cartographers to represent physical geographical Then, the contributions of the statistics made it possible to represent abstracted phenomena and thems on topographical maps, by structuring information before communicating it graphically and efficiently. Today, the contributions offered by the new data-processing possibilities offer new possibilities. They mainly rely on Geographic Information Systems (GIS) and on the experience of Eploratory Data Analysis (EDA). The main characteristics of this multimedia and interactive cartography can be structured in a synthetic figure. Cartographic evolutions are presented as “added values”, calling upon different senses, with different levels of interactivity. These new possibilities contribute to modify cartography and particullarly its role of communication, as well as the relationship between the actors that emit and the actors that receive the cartographical information.

The process of enlargement of the European Union is continuous, involving in 2004 ten Central or Oriental European Countries (PECO), and later some Mediterranean countries (PTM). But the EU still asks important questions: what are the candidate countries which will be included first? What will this process induce on European relationship? How high is the risk that some other countries may be evicted (in terms of trade) due to other countries integration? This paper aims to understand more precisely the global potential trade evolution between actual and future EU included oriental or Mediterranean countries. We try to enhance economical factors and geographical constraints which explain trade levels between (groups of) countries. We first model the trade flows for each aggregate of countries. Then, we simulate and assess the impact of including other (blocs of) countries to the UE model and both EU and PTM aggregates. Our study uses classical gravity modelling (designed by Bergstrand and Festoc) and compute data (obtained from the Chelem database) mainly from 1993 to 1997. We add to the model the foreign investments in each country, the contiguity levels between countries and the distance separating country centres. Our approach includes flow modelling, simulations of integration processes and a comparison of relative economical elasticities between the different models.

Since the geographical information system revolution of the mid-1980s, there has been a rapid growth in the number of spatially referenced databases. Data management, within these new systems, immediately took up a large place, but today, as Stan Openshaw argued, "analysis is no longer an optional activity". Nevertheless, we may keep in mind that spatial data have very special properties, that create a need for spatial data analysis and spatial. Furthermore, it may be argued that, in a GIS context, user’s needs are mainly of a data exploratory nature. Yet, data-driven tools can hardly be found within classical GIS software, when they are available at all.