ecospat: an R package to support spatial analyses and modeling of species niches and distributions

1,094 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Large carnivore expansion in Europe is associated with human population density and land cover changes (2021, positive): “…van Etten, 2014) and “sp” (Pebesma & Bivand, 2005) for GIS operations, “SDMTools” (VanDerWal et al., 2014) and “vegan” (Oksanen et al., 2019) to calculate landscape indices, “glmmLasso” (Groll, 2011) to build the distribution model and “ecospat” (Di Cola et al., 2017) to calculate the Boyce index.”
Optimizing ensembles of small models for predicting the distribution of species with few occurrences (2018, methodology): “All parameter values used for ESMbest are presented in Table S1 and will be made available in the next ESM functions in the ecospat package (Di Cola et al., 2017).”
Predictor complexity and feature selection affect Maxent model transferability: Evidence from global freshwater invasive species (2020, methodology): “…the R package “ENMeval” (Muscarella et al., 2014), whereas metric scores for Schoener's D and Boyce Index were calculated using the nicheOverlap function in the R package “dismo” (Hijmans et al., 2017) and the ecospat.boyce function in the R package “ecospat” (Di Cola et al., 2017), respectively.”