# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- 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 . 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://cranhaven.r-universe.dev repository-code: https://github.com/bi0m3trics/vostokR commit: cc0e44430b82b5d8d69ce916c9511b6fe18d5749 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