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PiC

3.3.1

Interactive Processing and Segmentation of Forest TLS Point-Cloud Data

0packages depend
2.5Kdownloads / year
45.8%test coverage
11/13checks pass

Overview

About
Maintained by Roberto FerraraFirst published 2025-02-185 releasesCRAN page ↗GitHub ↗

Tools for the processing, segmentation, and analysis of terrestrial laser scanning (TLS and MLS) forest point-cloud data. The package provides fast voxel-based processing, classification of point clouds into forest floor, understory, canopy, and woody components, and algorithms for single-tree analysis and structural characterization. Methods are designed to handle large and dense point-cloud datasets efficiently, supporting applications in forest structure assessment, connectivity analysis, and fire-risk evaluation. Input data are provided as '.xyz', '.txt', '.las', or '.laz' point-cloud files. For methodological details, see Ferrara and Arrizza (2025) https://hdl.handle.net/20.500.14243/533471 and Ferrara et al. (2018) doi:10.1016/j.agrformet.2018.04.008.

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Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
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Slowest check: 8.0 min · r-devel-linux-x86_64-fedora-clang
Code health
Yes
Tests · ratio 0.13
45.8%
Coverage · measured lines
100%
Documentation · exports
12
Dependencies · direct
Check history
  • NOTE2026-07-11
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 2,106 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
0%
Documented parameters
100%
Return-value docs
100%
References docs
13%

Downloads

2.5K
CRAN downloads in the past year
Rank #16,408 · ~7/day · ~212/mo
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31430 days
66990 days
2.5K1 year
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Also on113 r2u28 autocran

Repository

Repository
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Last activity 2026-06-29

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/rupppy/pic on 2026-07-26.

CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

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Code & Tests

People & History

People (2)
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Authors (1)
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Contributors (1)
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Package Timeline

5 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 3.3.1Latest
    2026-06-29 · current release · diff ↗
  • 3.3
    2026-06-27 · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.2.7
    2025-11-07 · diff ↗
  • 1.2.6
    2025-10-11 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 1.0.3
    2025-02-18
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2025-02-18
Total releases
5 / 1 yrs
License
GPL (>= 3) OSI
Additional repositories
r-lidar.r-universe.dev
Minimum R
≥ 4.3
Download size
322 KB
Installed size
not tracked yet
With dependencies
not tracked yet
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