Introduction to International Disaster Management

Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods of conducting data analyses. The book provides the theoretical background in an easy-to-understand approach, encouraging readers to examine the processes that generated their data. Including discussions of model selection, model checking, and multi-model inference, the book also uses effect plots that allow a natural interpretation of data. Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN introduces Bayesian software, using R for the simple modes, and flexible Bayesian software (BUGS and Stan) for the more complicated ones. Guiding the ready from easy toward more complex (real) data analyses ina step-by-step manner, the book presents problems and solutions-including all R codes-that are most often applicable to other data and questions, making it an invaluable resource for analyzing a variety of data types.Introduction to International Disaster Management, Third Edition, continues to serve as the leading comprehensive overview of global emergency management. This edition provides practitioners and students alike with a comprehensive understanding of the disaster management profession by utilizing a global perspective and including the different sources of risk and vulnerability, the systems that exist to manage hazard risk, and the many different stakeholders involved. This update examines the impact of many recent large-scale and catastrophic disaster events on countries and communities, as well as their influence on disaster risk reduction efforts worldwide. It also expands coverage of small-island developing states (SIDS) and explores the achievements of the United Nations Hyogo Framework for Action (2005-2015) and the priorities for action in the Post-2015 Framework for Disaster Risk Reduction currently under development. This useful, relevant text includes many changes that have occurred since the last edition for a better understanding of the rapidly advancing field of international disaster management.