Community ecology in the age of multivariate multiscale spatial analysis
Species spatial distributions are the result of population demography, behavioral traits, and
species interactions in spatially heterogeneous environmental conditions. Hence the …
species interactions in spatially heterogeneous environmental conditions. Hence the …
Mantel test in population genetics
The comparison of genetic divergence or genetic distances, estimated by pairwise F ST and
related statistics, with geographical distances by Mantel test is one of the most popular …
related statistics, with geographical distances by Mantel test is one of the most popular …
Plant species richness and ecosystem multifunctionality in global drylands
Experiments suggest that biodiversity enhances the ability of ecosystems to maintain
multiple functions, such as carbon storage, productivity, and the buildup of nutrient pools …
multiple functions, such as carbon storage, productivity, and the buildup of nutrient pools …
SAM: a comprehensive application for spatial analysis in macroecology
SAM (Spatial Analysis in Macroecology) is a freeware application that offers a
comprehensive array of spatial statistical methods, focused primarily on surface pattern …
comprehensive array of spatial statistical methods, focused primarily on surface pattern …
Caveats for correlative species distribution modeling
Correlative species distribution models are becoming commonplace in the scientific
literature and public outreach products, displaying locations, abundance, or suitable …
literature and public outreach products, displaying locations, abundance, or suitable …
[كتاب][B] Spatial ecology and conservation modeling
R Fletcher, M Fortin - 2018 - Springer
All questions in ecology and problems in conservation play out in space. This simple fact
has generated a long-standing interest from scientists and practitioners, and it is now well …
has generated a long-standing interest from scientists and practitioners, and it is now well …
Spatial autoregressive models for statistical inference from ecological data
Ecological data often exhibit spatial pattern, which can be modeled as autocorrelation.
Conditional autoregressive (CAR) and simultaneous autoregressive (SAR) models are …
Conditional autoregressive (CAR) and simultaneous autoregressive (SAR) models are …
Regression analysis of spatial data
Ecology Letters (2010) 13: 246–264 Abstract Many of the most interesting questions
ecologists ask lead to analyses of spatial data. Yet, perhaps confused by the large number …
ecologists ask lead to analyses of spatial data. Yet, perhaps confused by the large number …
Testing environmental and genetic effects in the presence of spatial autocorrelation
Spatial autocorrelation is a well‐recognized concern for observational data in general, and
more specifically for spatial data in ecology. Generalized linear mixed models (GLMMs) with …
more specifically for spatial data in ecology. Generalized linear mixed models (GLMMs) with …
The spatial distribution of development in Europe and its underlying sustainability correlations
The majority of national governments now dedicate themselves to sustainable development
as it aims to produce a long-term, positive relationship between civilization and life …
as it aims to produce a long-term, positive relationship between civilization and life …