An important aspect of flood risk management is the issuing of timely flood alerts. The spatial, as well as temporal, scale of these warnings is important. In many situations efficient risk management may be aided by the provision of local flood predictions at a high spatial resolution. Examples of such situations include issuing warnings for small groups… (More)
There has been much excitement among quantitative geographers about newly available data sets, characterized by high volume, velocity, and variety. This phenomenon is often labeled as " Big Data " and has contributed to methodological and empirical advances, particularly in the areas of visualization and analysis of social networks. However, a fourth v—… (More)
BACKGROUND The limitations and underlying assumptions of the capture-recapture methods have hindered their application in epidemiological settings, especially in evaluating the completeness of birth defects registries. This study explored the possibility of using birth certificates as the secondary data source in a simple two-source capture-recapture model… (More)
New sources of data relating to personal mobility and activity patterns are now providing a unique opportunity to explore movement patterns at increasing scales of spatial and temporal refinement. In this article, a corpus of messages from the Twitter social networking platform are examined. An elementary classification of users is proposed on the basis of… (More)
Wijnholds—at two workshops that took place in Washington, D.C., and at a workshop in Berlin organized jointly with the Federal Ministry for Economic Cooperation and Development (BMZ) and the German Institute for Development Evaluation (DEval). It also benefited from comments by IMF staff. However, the final judgments are the responsibility of the IEO alone.… (More)
This paper proposes a data driven model-based condition monitoring scheme that is applied to wind turbines. The scheme is based upon a non-linear data-based modelling approach in which the model parameters vary as functions of the system variables. The model structure and parameters are identified directly from the input and output data of the process. The… (More)
A statistical approach to crosslin-gual natural language tasks.
The Series publishes analytical studies and research reports in the broad area of Connectedness. This includes cross-economy activities, such as the penetration and use of the Internet and electronic commerce, as well as industries in the Information and Communications Technologies sector, such as telecommunications, broadcasting and Internet services. It… (More)