rioxarray is a geospatial xarray extension powered by rasterio that adds a `.rio` accessor to DataArray and Dataset objects, enabling CRS management, reprojection, clipping, resampling, and GeoTIFF/Ne
Use with AI
Install the MCP server or CLI to instantly fetch Rioxarray documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/rioxarray
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
PDAL (Point Data Abstraction Library) — C/C++ toolkit for translating, filtering, and processing point cloud data from LiDAR, photogrammetry, and depth sensors. Provides JSON pipeline architecture wit
1 shared topic • 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.
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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
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xorca (eXtensible ORCA Grid Adapter) preprocesses NEMO ocean model NetCDF outputs into XGCM-compatible Xarray datasets for grid-aware operations on curvilinear ORCA grids. Use when working with NEMO s
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