Volume 28, entitled Metal Ions and the Route to Life, of the series Metal Ions in Life Sciences, advocates for the prime importance of the recognition of metal ions and metal-bearing minerals in the transition from inanimate matter to first life on our planet.
Environmental Mineralogy and Bio-Geochemistry of Arsenic provides a comprehensive understanding of arsenic geochemistry in the near-surface environment.
This book emphasizes the importance of the likelihood function in statistical theory and applications and discusses it in the context of biology and ecology.
Making statistical modeling and inference more accessible to ecologists and related scientists, Introduction to Hierarchical Bayesian Modeling for Ecological Data gives readers a flexible and effective framework to learn about complex ecological processes from various sources of data.
In the recent past, studies on radon and their progenies have drawn a lot of attention from the scientific community and researchers, due to their crucial role as a possible cause of cancer, monitoring radiation levels of nuclear installations and as a potential precursor parameter to seismic events.
The contents of the book are assembled from selected papers presented during the International Conference on Isotopes in Environmental Studies - AQUATIC FORUM 2004 convened in Monaco from 25 to 29 October 2004, which was the most important gathering of the year of isotope environmental scientists.
A variety of air pollutants are emitted into the atmosphere from human-caused and natural emissions sources throughout the United States and elsewhere.
Himalaya, the world's most prominent mountain system of the world is a source of sustainence for the social, cultural and economic development of population across different countries.
This is a textbook covering the transition from energy releasing reactions on the early Earth to energy releasing reactions that fueled growth in the first microbial cells.
Offers New Insight on Uncertainty ModellingFocused on major research relative to spatial information, Uncertainty Modelling and Quality Control for Spatial Data introduces methods for managing uncertainties-such as data of questionable quality-in geographic information science (GIS) applications.
Emphasizing the inductive nature of statistical thinking, Environmental and Ecological Statistics with R, Second Edition, connects applied statistics to the environmental and ecological fields.
Emphasizing the inductive nature of statistical thinking, Environmental and Ecological Statistics with R, Second Edition, connects applied statistics to the environmental and ecological fields.
Gaussian Markov Random Field (GMRF) models are most widely used in spatial statistics - a very active area of research in which few up-to-date reference works are available.
A Training Tool for the Environmental Risk ProfessionalEnvironmental Risk Analysis: Probability Distribution Calculations defines the role that probability distributions play in risk analysis, and gives direction on how to measure and compare the magnitude of risk more efficiently.
Generate and Analyze Multi-Level Data Spatial microsimulation involves the generation, analysis, and modeling of individual-level data allocated to geographical zones.
Biometry for Forestry and Environmental Data with Examples in R focuses on statistical methods that are widely applicable in forestry and environmental sciences, but it also includes material that is of wider interest.
Extreme Value Modeling and Risk Analysis: Methods and Applications presents a broad overview of statistical modeling of extreme events along with the most recent methodologies and various applications.
Painting a complete picture of the history of the Everglades, The Geology of the Everglades and Adjacent Areas brings together theperspectives of various geoscientists to provides an overview of the geology, paleontology, and paleoceanography of the Everglades region.
Tuzo is the never-before-told story of one of Canada's most influential scientists and the discovery of plate tectonics, a pivotal development that forever altered how we think of our planet.
Tuzo is the never-before-told story of one of Canada's most influential scientists and the discovery of plate tectonics, a pivotal development that forever altered how we think of our planet.
Provides state-of-the-art information on all processes currently used to manufacture lubricant base oils and waxes-offering practical, timesaving solutions for specific on-the-job problems.
Understanding spatial statistics requires tools from applied and mathematical statistics, linear model theory, regression, time series, and stochastic processes.
Evolution of Fossil Ecosystems describes all of the main Fossil Lagerstatten (sites of exceptional fossil preservation) from around the world in a chronological order.
Molluscan Communities of the Florida Keys and Adjacent Areas: Their Ecology and Biodiversity is the first comprehensive overview of the ecology and biodiversity of the phylum Mollusca in the area extending from the Dry Tortugas and Ten Thousand Islands in the west to Palm Beach in the east.
Teaches Students How to Perform Spatio-Temporal Analyses within Epidemiological StudiesSpatio-Temporal Methods in Environmental Epidemiology is the first book of its kind to specifically address the interface between environmental epidemiology and spatio-temporal modeling.
Considering that glaciers and ice sheets cover about 10% of the Earth's land surface in a world where human civilization is increasingly impacted by the effects of changing glacial activity, Colour Atlas of Glacial Phenomena presents itself as an indispensable guide for students, professionals, and researchers who want to be better informed while studying and tracking the future influences of glaciers and ice sheets on the global environment.
Modern Statistical Methodology and Software for Analyzing Spatial Point PatternsSpatial Point Patterns: Methodology and Applications with R shows scientific researchers and applied statisticians from a wide range of fields how to analyze their spatial point pattern data.
This book provides a new data augmentation method based on the local stochastic distribution patterns in natural time series data of global and regional seismicity rates and their correlated seismicity rates.
