Viewscape Analysis

Provides tools for viewscape analysis from one or multiple viewpoints using a digital surface or elevation model. Core functionality includes computing viewsheds, quantifying visual magnitude, calculating a suite of viewscape configuration metrics (extent, depth, relief, Sky View Factor, skyline variation, and patch-based landscape structure), Shannon Diversity Index and land cover feature proportions within the visible area, pairwise intervisibility networks, panoramic view generation, and visualizing results as rasters or polygons. Viewscape configuration metrics follow the methods of Tabrizian et al. (2020) . The viewshed algorithm is based on Franklin & Ray (1994) < https://api.semanticscholar.org/CorpusID:10680920> and Wang et al. (2000) < https://api.semanticscholar.org/CorpusID:131687018>. Visual magnitude is derived from Chamberlain & Meitner (2013) . Sky View Factor is computed following Oke (1981) as implemented in the 'shadow' package (Dorman et al. 2019) .


Reference manual

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install.packages("viewscape")

3.0.0 by Xiaohao Yang, 3 months ago


https://github.com/billbillbilly/viewscape


Report a bug at https://github.com/billbillbilly/viewscape/issues


Browse source code at https://github.com/cran/viewscape


Authors: Xiaohao Yang [aut, cre, cph] , Nathan Fox [aut] , Derek Van Berkel [aut] , Mark Lindquist [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports Rcpp, rlang, methods, dplyr, sf, sp, terra, ForestTools, parallel, pbmcapply

Suggests testthat, knitr, rmarkdown, greenSD, dsmSearch

Linking to Rcpp


Suggested by gloBFPr.


See at CRAN