Spatial autocorrelation: an overlooked concept in behavioral ecology

Spatial autocorrelation: an overlooked concept in behavioral ecology

Spatial autocorrelation (SAC) is the dependence of a given variable’s values on the values of the same variable recorded at neighboring locations (Cliff and Ord 1973; Fortin and Dale 2005). When high values are associated with relatively high values at neighboring locations, SAC is said to be positive and, conversely, where high values correspond to relatively low values at neighboring location...

Spatial Autocorrelation and Autoregressive Models in Ecology

Recognition and analysis of spatial autocorrelation has defined a new paradigm in ecology. Attention to spatial pattern can lead to insights that would have been otherwise overlooked, while ignoring space may lead to false conclusions about ecological relationships. We used Gaussian spatial autoregressive models, fit with widely available software, to examine breeding habitat relationships for ...

Introducing "One Health" as an Overlooked Concept in Iran

Spatial Autocorrelation

Glossary AutoA prefix literally meaning self; spatial autocorrelation means self-correlation, or values within a given variable are correlated, resulting in the variable being correlated with itself. Correlation A description of the nature and degree of a relationship between a pair of quantitative variables. Geary Ratio An index of spatial autocorrelation, involving the computation of squared ...

Spatial Autocorrelation

Spatial autocorrelation is a method of Exploratory Spatial Data Analysis (ESDA). The latter set of methods allow for the study and understanding of the spatial distribution and spatial structure as well as they allow for detecting spatial dependence or autocorrelation in spatial data. More specifically, spatial autocorrelation is the correlation between the values of a single variable that is s...