Analysis of a recently validated fragmentation index, named ‘coherence’, shows a direct relationship with the Simpson and Shannon indices. Since these diversity metrics are also denoted as ‘entropy metrics’, it can be accepted that patch size heterogeneity can adequately be described by an entropy metric. Since both indices are used to determine the entropy of a sample, the Brillouin index should be applied instead to correctly determine the entropy of a landscape pattern, this because this latter index is developed for fully censused data sets, such as landscapes when a complete coverage by cartographic data or imagery is available. Calculation of the Brillouin entropy index for three specific sites located in Cadiz Township (USA), the Poo...
Land Degradation (LD) in socio-environmental systems negatively impacts sustainable development path...
Mean population entropy indicates the relative diversity of the population at any given time, while ...
Understanding the structuration of spatio-temporal information is a common endeavour to many discipl...
Analysis of a recently validated fragmentation index, named 'coherence', shows a direct relationship...
Landscape ecology studies the structure of landscapes as interacting ecosystems over space and time....
peer reviewedLandscape entropy represents heterogeneity within a landscape (Renyi, 1961; Bogaert et ...
In the landscape ecological literature, a number of measures have been proposed for quantifying land...
The provision of tools for monitoring and especially quantifying the impact of human activities on f...
The identification of a universal law that can predict the spatiotemporal structure of any entity at...
This paper presents a multivariate textual analysis of more than 1300 papers on entropy in ecology. ...
Distinguishing and characterizing different landscape patterns have long been the primary concerns o...
indices, landscape pattern, quantitative methods, spatial heterogeneity, splitting index Anthropogen...
Studies of spatial patterns of landscapes are useful to quantify human impact, predict wildlife effe...
The present study introduces entropy mapping as a comprehensive method to analyze and describe compl...
Entropy is widely employed in many applied sciences to measure the heterogeneity of observations. Re...
Land Degradation (LD) in socio-environmental systems negatively impacts sustainable development path...
Mean population entropy indicates the relative diversity of the population at any given time, while ...
Understanding the structuration of spatio-temporal information is a common endeavour to many discipl...
Analysis of a recently validated fragmentation index, named 'coherence', shows a direct relationship...
Landscape ecology studies the structure of landscapes as interacting ecosystems over space and time....
peer reviewedLandscape entropy represents heterogeneity within a landscape (Renyi, 1961; Bogaert et ...
In the landscape ecological literature, a number of measures have been proposed for quantifying land...
The provision of tools for monitoring and especially quantifying the impact of human activities on f...
The identification of a universal law that can predict the spatiotemporal structure of any entity at...
This paper presents a multivariate textual analysis of more than 1300 papers on entropy in ecology. ...
Distinguishing and characterizing different landscape patterns have long been the primary concerns o...
indices, landscape pattern, quantitative methods, spatial heterogeneity, splitting index Anthropogen...
Studies of spatial patterns of landscapes are useful to quantify human impact, predict wildlife effe...
The present study introduces entropy mapping as a comprehensive method to analyze and describe compl...
Entropy is widely employed in many applied sciences to measure the heterogeneity of observations. Re...
Land Degradation (LD) in socio-environmental systems negatively impacts sustainable development path...
Mean population entropy indicates the relative diversity of the population at any given time, while ...
Understanding the structuration of spatio-temporal information is a common endeavour to many discipl...