Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS) - ALLOUCHE - 2006 - Journal of Applied Ecology - Wiley Online Library
![Data quantity is more important than its spatial bias for predictive species distribution modelling [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2020/10411/1/fig-3-2x.jpg "Data quantity is more important than its spatial bias for predictive species distribution modelling [PeerJ]")
Data quantity is more important than its spatial bias for predictive species distribution modelling [PeerJ]
Evaluating species distribution models - Transmitting Science
Novel Three-Step Pseudo-Absence Selection Technique for Improved Species Distribution Modelling | PLOS ONE
![PDF] Stacking species distribution models and adjusting bias by linking them to macroecological models | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/74738ce5aa9d4805401afef8cdc981507a5f49d6/3-Table1-1.png "PDF] Stacking species distribution models and adjusting bias by linking them to macroecological models | Semantic Scholar")
PDF] Stacking species distribution models and adjusting bias by linking them to macroecological models | Semantic Scholar
The Predictive Performance and Stability of Six Species Distribution Models | PLOS ONE
Box plots of the predictive performance of species distribution models for 30 montane species, comparing models with only climate variables to those containing both climate and ecologically relevant topographic variables.
AN597 F19 Module - Species Distribution Modeling in R
Species distribution models throughout the invasion history of Palmer amaranth predict regions at risk of future invasion and reveal challenges with modeling rapidly shifting geographic ranges | Scientific Reports
Values of AUC, Kappa statistic, TSS, sensitivity, specificity, omission... | Download Scientific Diagram
Species' Distribution Modeling for Conservation Educators and Practitioners
Plants | Free Full-Text | Prediction of the Potential Distribution of the Endangered Species Meconopsis punicea Maxim under Future Climate Change Based on Four Species Distribution Models
Mann-Whitney and Kappa statistic for the species distribution models... | Download Scientific Diagram
Insects | Free Full-Text | Multi-Scenario Species Distribution Modeling
Frontiers | Good Practices for Species Distribution Modeling of Deep-Sea Corals and Sponges for Resource Management: Data Collection, Analysis, Validation, and Communication
Improving prediction of rare species' distribution from community data | Scientific Reports
High uncertainty in the effects of data characteristics on the performance of species distribution models - ScienceDirect
The Predictive Performance and Stability of Six Species Distribution Models | PLOS ONE
Evaluation metrics and validation of presence-only species distribution models based on distributional maps with varying coverage | Scientific Reports
Accuracy level and Kappa value derived from the analysis of error... | Download Scientific Diagram
Kappa Distributions: From Observational Evidences via Controversial Predictions to a Consistent Theory of Nonequilibrium Plasmas | SpringerLink
Aquatic Invasive Species | Smothering Seaweed
Frontiers | Modeling of the Potential Geographical Distribution of Three Fritillaria Species Under Climate Change
Mann-Whitney and Kappa statistic for the species distribution models... | Download Scientific Diagram
The use of classification and regression algorithms using the random forests method with presence-only data to model species' distribution - ScienceDirect
Average improvement in Cohen's Kappa for distribution models of each... | Download Scientific Diagram
PDF) Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS) | Bin You - Academia.edu
Density distribution of Pagel's kappa model support over 1000 Bayesian... | Download Scientific Diagram
![Data quantity is more important than its spatial bias for predictive species distribution modelling [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2020/10411/1/fig-1-full.png "Data quantity is more important than its spatial bias for predictive species distribution modelling [PeerJ]")