Abstract

This presentation will give a survey of geostatistical methods for analyzing spatial data with a particular focus on risk associated with rare meteorological events such as severe thunderstorms, hurricanes, and severely poor air quality. The arena of spatial extreme-value analysis, in particular,... Show moreThis presentation will give a survey of geostatistical methods for analyzing spatial data with a particular focus on risk associated with rare meteorological events such as severe thunderstorms, hurricanes, and severely poor air quality. The arena of spatial extreme-value analysis, in particular, is a highly active area of research because of the numerous challenges of accounting for dependence in the tails of the distribution. Focus will be given to the propinquity model as it naturally allows for larger spatial domains. Background on comparing geospatial fields will also be given. Show less