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
Use with AI
Install the MCP server or CLI to instantly fetch Hmsc documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/hmsc
rootwater is a Python toolbox for estimating root water uptake (RWU) from diurnal soil moisture dynamics in the rhizosphere, with complementary tools for converting sap velocity to sap flow in active
2 shared topics • 2 shared operations
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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
2 shared topics • 1 shared operation
Bambi (BAyesian Model-Building Interface) is a high-level Python package for fitting Bayesian generalized linear and generalized linear mixed models using a concise, R-style Wilkinson formula syntax.
1 shared topic • 2 shared operations
Open Data Cube (ODC) is an open-source geospatial data management and analysis framework that indexes Earth observation satellite imagery and gridded datasets into a PostgreSQL catalogue and exposes t
1 shared topic • 2 shared operations