ABSTRACT
During the last decade, there have been significant advances in statistical methodology for environmental monitoring and assessment. The analysis of environmental data is challenging because data are often collected at multiple locations and multiple time points. Correlation among some, if not all, observations is inevitable, making many of the statistical methods taught in introductory classes inappropriate. In the last decade we have also seen parallel developments in such areas as geographic information systems (GIS) and computer graphics that have enhanced our ability to visualize patterns in data collected in time and space. In turn, these methods have stimulated new statistical research for the analysis of spatially and temporally referenced data.
