Statistical Data Analysis for Ocean and Atmospheric Sciences

Urban Planning for Disaster Recovery focuses on disaster recovery from the perspective of urban planning, an underutilized tactic that can significantly reduce disaster risks. The book examines disaster risk reduction (DRR), in particular, the recovery stage of what is widely known as the disaster cycle. The theoretical underpinning of the book derives from a number of sources in urban planning and disaster management literature, and is illustrated by a series of case studies. It consists of five sections, each of which opens with a conceptual framework that is followed by a series of supporting and illustrative cases as practical examples. These examples both complement and critique the theoretical base provided, demonstrating the need to apply the concepts in location-specific ways.Studies of local and global phenomena generate descriptions which require statistical analysis. In this text, H. Jean Thiebaux presents a succinct yet comprehensive review of the fundamentals of statistics as they pertain to studies in oceanic and atmospheric sciences. The text includes an accompanying disk with compatible Minitab sample data. Together, this volume and the included data provide insights into the basics of statistical inference, data analysis, and distributional models of variability. Oceanographers, meteorologists, marine biologists, and other environmental scientists will find this book of great value as a statistical tool for their continuing studies.