Tools for working with Maxent in R

Habitat Suitability Modeling with Random Forest Classification in Google Earth Engine

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

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

European potential natural vegetation mapping

MiraMon connectivity pipeline

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

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

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.

Watershed Area of Suitable Habitat

🌍🌾 Presentation of the Article "Climate Change May Alter the Availability of Wild Food Plants in the Brazilian Semiarid"

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

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

Spatiotemporal analyses of Dissolved Oxygen & Temperature from monitoring rear-edge, protected species in Indiana lakes with INDNR. Habitat Modeling & Temporal Scale Comparisons

Workflow for habitat and metapopulation modeling of white-tailed deer and wild pigs in Mississippi

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

Projects carried out by Jannatul Ferdous and Johanna Esguerra on modelling current and future habitat selection of northern lapwings using GPS tracking data and individual-based models

The FVCOM data was provided by Mark Rowe (NOAA, LEOFS). The FVCOM model used to generate the output is described in (Rowe et al., 2019).