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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "vostokR" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'vostokR: Solar Potential Calculation for Point Clouds using ''VOSTOK'''
version: 0.2.1
identifiers:
- type: doi
  value: 10.32614/CRAN.package.vostokR
abstract: Calculate solar potential for LiDAR point clouds using the 'VOSTOK' (Voxel
  Octree Solar Toolkit) algorithm. This R program provides an interface to the original
  'VOSTOK' C++ implementation by Bechtold and Hofle (2020), enabling efficient ray
  casting and solar position algorithms to compute solar irradiance for each point
  while accounting for shadowing effects. Integrates seamlessly with the 'lidR' package
  for LiDAR data processing workflows. The original 'VOSTOK' toolkit is available
  at <https://doi.org/10.11588/data/QNA02B>.
authors:
- family-names: Sanchez Meador
  given-names: Andrew J.
  email: andrew.sanchezmeador@nau.edu
- family-names: Bechtold
  given-names: Sebastian
- family-names: Hofle
  given-names: Bernhard
preferred-citation:
  type: manual
  title: 'vostokR: Solar Potential Calculation for Point Clouds using VOSTOK'
  authors:
  - family-names: Sanchez Meador
    given-names: Andrew J.
    email: andrew.sanchezmeador@nau.edu
  year: '2025'
  notes: R package version 0.1.1
  url: https://github.com/bi0m3trics/vostokR
repository: https://bi0m3trics.r-universe.dev
repository-code: https://github.com/bi0m3trics/vostokR
commit: f7e667a076509eb6b0dee8d06fbd62c4a36f458d
url: https://github.com/bi0m3trics/vostokR
date-released: '2026-03-25'
contact:
- family-names: Sanchez Meador
  given-names: Andrew J.
  email: andrew.sanchezmeador@nau.edu
references:
- type: generic
  title: VOSTOK - The Voxel Octree Solar Toolkit
  authors:
  - family-names: Bechtold
    given-names: Sebastian
  - family-names: Hofle
    given-names: Bernhard
  publisher:
    name: heiDATA
  year: '2020'
  notes: Version V1
  doi: 10.11588/data/QNA02B
  url: https://doi.org/10.11588/data/QNA02B