Predicting suitability for non-native species in the Bering Sea.

European potential natural vegetation mapping

An R package for performing coastal habitat modeling.

Methods for Lavender, Fox and Burrows (2021). Modelling the impacts of climate change on the relative abundance of shallow-water marine fish at a global scale. PLOS ONE 16(10): e0258184. https://doi.org/10.1371/journal.pone.0258184

Utilize Python to interface with ArcGIS Pro via the arcpy package, and conduct a habitat suitability model!

A Python-based tool set for stream design, river restoration, and eco-hydraulic assessments.

BENTHOS-GR [Dataset] · Benthic-invertebrate habitat preference samples collected from May 2015 to October 2015 in 6 Greek rivers

HABFUZZ [Software] · A command-line tool for data-driven fuzzy modelling

Leverages big data and machine learning for wildlife conservation using GBIF species data. PySpark is used for preprocessing, K-Means for clustering, and Decision Trees for habitat prediction. Tableau visualizes species distribution, biodiversity, and conservation insights.

My twitter account

🌍🌾 Presentation of the article "Climate change may alter the availability of wild food plants in the Brazilian semiarid"

Seascape-wide habitat suitability modeling for sub-adult gray snapper and bluestriped grunt in the Florida Keys, USA 🐠🌎🐟🏝️

A Graphical User Interface-Based R Package for Species Distribution Modeling

Watershed Area of Suitable Habitat

Habitat Suitability Modeling with Random Forest Classification in Google Earth Engine

Tools for working with Maxent in R