1. Species distribution models (SDMs) are now widely applied to determine the potential distributions of species in relation to environmental covariates. Many modelling tools are available, and large sets of maps may be produced easily. 2. A wide range of methods have been developed for the comparison or analysis of raster images and SDM output maps including pairwise (two-sample) tests and overall measures of similarity such as correlation coefficients and distance measures. 3. I present an analytical framework applying a distance-based approach to the ordination and analysis of maps produced by species distribution modelling tools. The method combines aspects of image analysis with distance-based statistical tests and allows ecologists to...
1. Distance sampling is a widely used technique for estimating the size or density of biological pop...
Geography has a long tradition in studies of geographical distribution of flora and fauna. Detailed ...
Neglect of ecological knowledge is a limiting factor in the use of statistical modelling to predict ...
Our understanding of a biological population can be greatly enhanced by modelling their distribution...
AbstractComparing geographically referenced maps has become an important aspect of spatial ecology (...
Our understanding of a biological population can be greatly enhanced by modelling their distribution...
Comparing geographically referenced maps has become an important aspect of spatial ecology (e.g. ass...
Abstract. - Species distribution models (SDMs) are increasingly used in many scientific fields, with...
Abstract. - Species distribution models (SDMs) are increasingly used in many scientific fields, with...
biogeographical regions depends on the use of an appropriate distance measure The use of analytical ...
We present a method for assessing similarity between species maps of presence and absence or abundan...
Although many studies have treated aspects of species geographical distributions and numerous approa...
We present a method for assessing similarity between species maps of presence and absence or abundan...
Aim: The use of atlas data in combination with a variety of modelling approaches has become a common...
At a biogeographical scale, incomplete sampling is a hardly avoidable problem. Incomplete sampling c...
1. Distance sampling is a widely used technique for estimating the size or density of biological pop...
Geography has a long tradition in studies of geographical distribution of flora and fauna. Detailed ...
Neglect of ecological knowledge is a limiting factor in the use of statistical modelling to predict ...
Our understanding of a biological population can be greatly enhanced by modelling their distribution...
AbstractComparing geographically referenced maps has become an important aspect of spatial ecology (...
Our understanding of a biological population can be greatly enhanced by modelling their distribution...
Comparing geographically referenced maps has become an important aspect of spatial ecology (e.g. ass...
Abstract. - Species distribution models (SDMs) are increasingly used in many scientific fields, with...
Abstract. - Species distribution models (SDMs) are increasingly used in many scientific fields, with...
biogeographical regions depends on the use of an appropriate distance measure The use of analytical ...
We present a method for assessing similarity between species maps of presence and absence or abundan...
Although many studies have treated aspects of species geographical distributions and numerous approa...
We present a method for assessing similarity between species maps of presence and absence or abundan...
Aim: The use of atlas data in combination with a variety of modelling approaches has become a common...
At a biogeographical scale, incomplete sampling is a hardly avoidable problem. Incomplete sampling c...
1. Distance sampling is a widely used technique for estimating the size or density of biological pop...
Geography has a long tradition in studies of geographical distribution of flora and fauna. Detailed ...
Neglect of ecological knowledge is a limiting factor in the use of statistical modelling to predict ...