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Global positioning systems (GPSs) and geographical information systems (G ISs) have been widely used to collect and synthesize spatial data from a variety of sources. New advances in satellite imagery and remote sensing now permit scientists to access spatial data at several different resolutions. The Internet facilitates fast and easy data acquisition. In any one study, several different types of data may be collected at differing scales and resolutions, at different spatial locations, and in different dimensions. Many statistical issues are associated with combining such data for modeling and inference. This article gives an overview of these issues and the approaches for integrating such disparate data, drawing on work from geography, ecology, agriculture, geology, and statistics. Emphasis is on state-ofthe-art statistical solutions to this complex and important problem.

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Mental health problems and impaired social functioning related to the recent war are important issues that need to be addressed to return the Kosovo region to a stable and productive environment. JAMA. 2000;284:569-577

Among survivors of the tsunami in southern Thailand, elevated rates of symptoms of PTSD, anxiety, and depression were reported 8 weeks after the disaster, with higher rates for anxiety and depression than PTSD symptoms. Nine months after the disaster, the rates of those reporting these symptoms decreased but were still elevated. This information is important for directing, strengthening, and evaluating posttsunami mental health needs and interventions.