Point process models for presence‐only analysis
Presence‐only data are widely used for species distribution modelling, and point process
regression models are a flexible tool that has considerable potential for this problem, when …
regression models are a flexible tool that has considerable potential for this problem, when …
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 …
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification
Binary classification is a common task for which machine learning and computational
statistics are used, and the area under the receiver operating characteristic curve (ROC …
statistics are used, and the area under the receiver operating characteristic curve (ROC …
kuenm: an R package for detailed development of ecological niche models using Maxent
Background Ecological niche modeling is a set of analytical tools with applications in
diverse disciplines, yet creating these models rigorously is now a challenging task. The …
diverse disciplines, yet creating these models rigorously is now a challenging task. The …
The global distribution of known and undiscovered ant biodiversity
Invertebrates constitute the majority of animal species and are critical for ecosystem
functioning and services. Nonetheless, global invertebrate biodiversity patterns and their …
functioning and services. Nonetheless, global invertebrate biodiversity patterns and their …
Minimum required number of specimen records to develop accurate species distribution models
Species distribution models (SDMs) are widely used to predict the occurrence of species.
Because SDMs generally use presence‐only data, validation of the predicted distribution …
Because SDMs generally use presence‐only data, validation of the predicted distribution …
Urban flood risk map** using the GARP and QUEST models: A comparative study of machine learning techniques
Flood risk map** and modeling is important to prevent urban flood damage. In this study,
a flood risk map was produced with limited hydrological and hydraulic data using two state …
a flood risk map was produced with limited hydrological and hydraulic data using two state …
Paintings predict the distribution of species, or the challenge of selecting environmental predictors and evaluation statistics
Y Fourcade, AG Besnard… - Global Ecology and …, 2018 - Wiley Online Library
Aim Species distribution modelling, a family of statistical methods that predicts species
distributions from a set of occurrences and environmental predictors, is now routinely …
distributions from a set of occurrences and environmental predictors, is now routinely …
Spatial bias in the GBIF database and its effect on modeling species' geographic distributions
Species distribution modeling, in combination with databases of specimen distribution
records, is advocated as a solution to the problem of distributional data limitation in …
records, is advocated as a solution to the problem of distributional data limitation in …
Cross‐validation of species distribution models: removing spatial sorting bias and calibration with a null model
RJ Hijmans - Ecology, 2012 - Wiley Online Library
Species distribution models are usually evaluated with cross‐validation. In this procedure
evaluation statistics are computed from model predictions for sites of presence and absence …
evaluation statistics are computed from model predictions for sites of presence and absence …