Showing 5 open source projects for "data mapping"

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  • 1
    ggplot2

    ggplot2

    An implementation of the Grammar of Graphics in R

    ...ggplot2 is a part of the tidyverse, an ecosystem of R packages designed for data science.
    Downloads: 11 This Week
    Last Update:
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  • 2
    rayshader

    rayshader

    R Package for 2D and 3D mapping and data visualization

    This is an R package designed for producing beautiful and interactive 2D and 3D visualizations — especially maps and terrain renderings — using elevation/gridded data and ray-tracing / hill-shading methods. At its core, rayshader takes a matrix of elevations and applies shading, texture, ambient occlusion, overlays, and light modeling (ray shade, lambertian shading, etc.) to produce realistic relief maps. Users can rotate, zoom, and animate the scenes or script camera trajectories...
    Downloads: 0 This Week
    Last Update:
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  • 3
    purrr

    purrr

    A functional programming toolkit for R

    purrr enhances R’s functional programming capabilities by providing a consistent set of tools for working with lists and vectors, enabling safer and more expressive iteration compared to base R’s loop functions.
    Downloads: 2 This Week
    Last Update:
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  • 4
    geocompr

    geocompr

    Geocomputation with R: an open source book

    This repository hosts the source for Geocomputation with R, an open-source book covering spatial data analysis, visualization, and modeling using R. It teaches how to work with vector and raster data, coordinate systems, mapping, and geocomputation techniques using packages like sf, terra, tmap, and more. Actively maintained and updated for real-world geospatial workflows.
    Downloads: 0 This Week
    Last Update:
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  • 5
    RNAseq Tutorial

    RNAseq Tutorial

    Informatics for RNA-seq: A web resource for analysis on the cloud

    rnaseq_tutorial is a tutorial and educational resource created by the Griffith Lab that guides users through the steps of RNA-seq data analysis. It includes working pipelines for alignment, differential expression, alternative splicing, visualization, and interpretation. It is designed to run in the cloud or local environments, providing introductory material on file formats, reference genomes / annotation, QC, mapping, quantifying expression, visualizing results, etc. ...
    Downloads: 0 This Week
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