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sdm (R) is a reproducible framework for species distribution modelling (SDM) that unifies data preparation, multi-method model fitting, evaluation, ensemble forecasting, and spatial/temporal predictio
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Install the MCP server or CLI to instantly fetch Sdm documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/sdm
FD — CRAN R package by Laliberté, Legendre, and Shipley for measuring functional diversity (FD) from multiple traits. Implements the distance-based multidimensional FD framework (functional richness F
2 shared topics • 1 shared operation
Hmsc (Hierarchical Modelling of Species Communities) is an R package for fitting joint species distribution models (JSDMs) in a Bayesian hierarchical framework. It links species occurrences or abundan
2 shared topics • 1 shared operation
CoralNet is a web platform for benthic image analysis, serving as a repository and resource. It uses deep learning for automated annotation of benthic images, reducing the manual inspection bottleneck
1 shared topic • 1 shared operation
mvabund is an R package providing a model-based approach to analyzing multivariate abundance data in ecology. It offers tools for data visualization, fitting predictive generalized linear models (GLMs
1 shared topic • 1 shared operation
SourceTracker2 is a Bayesian microbial source-tracking tool that estimates source contributions to sink communities using Gibbs sampling. Use this skill for SourceTracker/SourceTracker2 workflows, mic
2 shared operations