Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling
Analyses of ecological data should account for the uncertainty in the process (es) that
generated the data. However, accounting for these uncertainties is a difficult task, since …
generated the data. However, accounting for these uncertainties is a difficult task, since …
Develo** Global Maps of the Dominant Anopheles Vectors of Human Malaria
Develo** Global Maps of the Dominant Anopheles Vectors of Human Malaria | PLOS
Medicine Skip to main content Advertisement PLOS Medicine Browse Current Issue Journal …
Medicine Skip to main content Advertisement PLOS Medicine Browse Current Issue Journal …
[BOG][B] Habitat suitability and distribution models: with applications in R
This book introduces the key stages of niche-based habitat suitability model building,
evaluation and prediction required for understanding and predicting future patterns of …
evaluation and prediction required for understanding and predicting future patterns of …
Sample selection bias and presence‐only distribution models: implications for background and pseudo‐absence data
Most methods for modeling species distributions from occurrence records require additional
data representing the range of environmental conditions in the modeled region. These data …
data representing the range of environmental conditions in the modeled region. These data …
Novel methods improve prediction of species' distributions from occurrence data
Prediction of species' distributions is central to diverse applications in ecology, evolution and
conservation science. There is increasing electronic access to vast sets of occurrence …
conservation science. There is increasing electronic access to vast sets of occurrence …
[BOG][B] Hierarchical modeling and inference in ecology: the analysis of data from populations, metapopulations and communities
JA Royle, RM Dorazio - 2008 - books.google.com
A guide to data collection, modeling and inference strategies for biological survey data using
Bayesian and classical statistical methods. This book describes a general and flexible …
Bayesian and classical statistical methods. This book describes a general and flexible …
[BOG][B] Computational statistics
GH Givens, JA Hoeting - 2012 - books.google.com
This new edition continues to serve as a comprehensive guide to modern and classical
methods of statistical computing. The book is comprised of four main parts spanning the …
methods of statistical computing. The book is comprised of four main parts spanning the …
Generalized joint attribute modeling for biodiversity analysis: Median‐zero, multivariate, multifarious data
JS Clark, D Nemergut, B Seyednasrollah… - Ecological …, 2017 - Wiley Online Library
Probabilistic forecasts of species distribution and abundance require models that
accommodate the range of ecological data, including a joint distribution of multiple species …
accommodate the range of ecological data, including a joint distribution of multiple species …
A structured and dynamic framework to advance traits‐based theory and prediction in ecology
Ecology Letters (2010) 13: 267–283 Abstract Predicting changes in community composition
and ecosystem function in a rapidly changing world is a major research challenge in …
and ecosystem function in a rapidly changing world is a major research challenge in …
More than the sum of the parts: forest climate response from joint species distribution models
The perceived threat of climate change is often evaluated from species distribution models
that are fitted to many species independently and then added together. This approach …
that are fitted to many species independently and then added together. This approach …