R and BUGS code for the four models used in the simulations. More details can be found in the follwing paper: Effects of spatial autocorrelation and imperfect detection on species distribution models (Guélat et al. 2018)<br
This repository contain the data and code to reproduce the analyses in: Ten Caten, C., Dallas, T. ...
Aim A key assumption in species distribution modelling is that both species and environmental data l...
R scripts for reproducing virtual species generating, modeling species distribution and final figure...
R and BUGS code for the Common Redstart case study. For more details, see the following paper: Effec...
The reproduction was (partially) successful. The authors provided the source code via a link to a sh...
Aim To investigate the impact of positional uncertainty in species occurrences on the predictions of...
Data and R codes necessary to replicate the analyses presented in the paper entitled "Data stochasti...
When modeling species distributions, a common problem is a lack of independence in sampling values o...
<p>The artificial species is generated in real environment in Germany. The species favours the South...
1. Species distribution modelling is used increasingly in both applied and theoretical research to p...
The performance of species distribution models is known to be affected by the analysis grain and the...
Species Distribution Models often include spatial effects which may improve prediction at unsampled ...
Several methods has been proposed to modeling species distributions, also a few models consider expl...
1. Species distribution modelling is used increasingly in both applied and theoretical research to p...
Abstract. - Species distribution models (SDMs) are increasingly used in many scientific fields, with...
This repository contain the data and code to reproduce the analyses in: Ten Caten, C., Dallas, T. ...
Aim A key assumption in species distribution modelling is that both species and environmental data l...
R scripts for reproducing virtual species generating, modeling species distribution and final figure...
R and BUGS code for the Common Redstart case study. For more details, see the following paper: Effec...
The reproduction was (partially) successful. The authors provided the source code via a link to a sh...
Aim To investigate the impact of positional uncertainty in species occurrences on the predictions of...
Data and R codes necessary to replicate the analyses presented in the paper entitled "Data stochasti...
When modeling species distributions, a common problem is a lack of independence in sampling values o...
<p>The artificial species is generated in real environment in Germany. The species favours the South...
1. Species distribution modelling is used increasingly in both applied and theoretical research to p...
The performance of species distribution models is known to be affected by the analysis grain and the...
Species Distribution Models often include spatial effects which may improve prediction at unsampled ...
Several methods has been proposed to modeling species distributions, also a few models consider expl...
1. Species distribution modelling is used increasingly in both applied and theoretical research to p...
Abstract. - Species distribution models (SDMs) are increasingly used in many scientific fields, with...
This repository contain the data and code to reproduce the analyses in: Ten Caten, C., Dallas, T. ...
Aim A key assumption in species distribution modelling is that both species and environmental data l...
R scripts for reproducing virtual species generating, modeling species distribution and final figure...
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