500 pages , Cambridge University Press , 2019-11-30 Introduces readers to key case studies that illustrate how theory and data can be integrated to understand wildlife disease ecology.
2010-07-19T07:00:00Z Introduction to WinBUGS for Ecologists introduces applied Bayesian modeling to ecologists using the highly acclaimed, free WinBUGS software. It offers an understanding of statistical models as abstract representations of the various processes that give rise to a data set. Such an understanding is basic to the development of inference models tailored to specif...[Read More]
263 pages , Elsevier , 2012 Environmental Data Analysis with MatLab is for students and researchers working to analyze real data sets in the environmental sciences. One only has to consider the global warming debate to realize how critically important it is to be able to derive clear conclusions from often-noisy data drawn from a broad range of sources. This book teaches...[Read More]
798 pages , Elsevier , 2019-01-18 Spatial Modeling in GIS and R for Earth and Environmental Sciences offers an integrated approach to spatial modelling using both GIS and R. Given the importance of Geographical Information Systems and geostatistics across a variety of applications in Earth and Environmental Science, a clear link between GIS and open source software is es...[Read More]
550 pages , Cambridge University Press , 2019-04-30 An accessible introduction to the mathematical methods essential for understanding processes in the Earth and environmental sciences.
2019-04-02T07:00:00Z This open access book shows how to use sensitivity analysis in demography. It presents new methods for individuals, cohorts, and populations, with applications to humans, other animals, and plants. The analyses are based on matrix formulations of age-classified, stage-classified, and multistate population models. Methods are presented for linear and nonlinear, deter...[Read More]
2010-07-19T07:00:00Z Introduction to WinBUGS for Ecologists introduces applied Bayesian modeling to ecologists using the highly acclaimed, free WinBUGS software. It offers an understanding of statistical models as abstract representations of the various processes that give rise to a data set. Such an understanding is basic to the development of inference models tailored to specif...[Read More]
482 pages , Cambridge University Press , 2019-02-28 Provides an essential introduction to modeling terrestrial ecosystems in Earth system models for graduate students and researchers.
2017-01-16T08:00:00Z This is a book about the scientific process and how you apply it to data in ecology. You will learn how to plan for data collection, how to assemble data, how to analyze data and finally how to present the results. The book uses Microsoft Excel and the powerful Open Source R program to carry out data handling as well as producing graphs.
Summary :
The purpose of this booklet is to introduce some basic models in ecology based on differential equations. We assume little mathematical background. Readers need to know what the derivative of a function is.
2010-11-08T08:00:00Z This book provides an introduction to the role of diversity in complex adaptive systems. A complex system--such as an economy or a tropical ecosystem--consists of interacting adaptive entities that produce dynamic patterns and structures. Diversity plays a different role in a complex system than it does in an equilibrium system, where it often merely produces variat...[Read More]
