International audienceThis paper presents an original methodology for the construction of a harmonized database for urban areas in the United States from 1790 to 2010 (a period with a census every 10 years, amounting to 23 dates). Upstream, this method is based on a theoretical choice, the use of a spatio-temporal reference frame to construct urban areas over the long term, defined by a maximum range of one hour’s travel for each period. We used an automatic aggregation from a Reilly model. Urban measures (growth, concentration) derived from this harmonized database are then presented, providing a unified picture of urbanization in the United States over more than two centuries. They are compared with results derived from more classical databases established using the official figures from the Census Bureau, or from other constructions differing from the present system. The results diverge considerably in some instances, which confirms the impact of the method of delineation of geographical areas in measures of growth

Abstract-This paper presents an original approach for supporting the use of geovisual analytics solutions. Many models have been proposed to characterize information visualization methods, but few have been integrated to an intelligent process for supporting user in geo-information usage. Moreover, several new solutions are continuously proposed by research, but few of them are really used in operational world. For instance, the maritime surveillance systems could gain much more identification capabilities of ship behaviors with adequate geovisual analytics solutions. Therefore, we investigated the use of geovisual methods for the analysis of mobility data, such as ship trajectories. We propose a knowledge-based system using ontologies and rules. These allow modeling the domain of geovisual analytics solutions, and their capacities in the exploration and the analysis of trajectories. This system would be used to support users in geovisual analytics of movement, based on their context of use.

International audienceAims of this communication is to identify a set of factors that may be at the origin of the failure of an innovation project or of unwanted situations such as incident, accident or crisis. Factors are illustrated with the technology of geographical information and a set of queries aiming to support the anticipation of such situations during innovative project is proposed.La finalité de cette communication est d’identifier un ensemble de facteurs pouvant causer l’échec de l’adoption d’une technologie innovante et la survenue d’une situation non souhaitée telle qu’un incident, un accident ou bien une crise. Les facteurs sont illustrés avec le contexte de l’information géographique et une série de questions est proposée afin de soutenir l’anticipation de situations non souhaitées lors de la conduite d’un projet d’innovation