9b2842c8597f6f060a37d1597ffd2f0b *DESCRIPTION
197932186b18ffbcf9ce795028bd37cb *NAMESPACE
a374785a1108f5e6d74456e1b0d18ada *R/RcppExports.R
71d9e7cb71ab2c94a2bef4416d2aa0e7 *R/auxiliary.functions.R
aea77928cba1c7863491c5754ec3d184 *R/correlations.R
548c8ec9854da0d811e4b45d78145786 *R/distance.sampling.R
708b79c71ba19b9287e84e8e99944281 *R/estimation.plot.size.R
06f096912e9150fb7f34cc602acfb3d5 *R/globals.R
07c923d4aa4a886fd6650d73704df64a *R/install_fortls_python_deps.R
d5a7f31a4b71a76f8481948b5affe3fb *R/metrics.variables.R
5cef2eaa42697288597b1337bde1ba05 *R/normalize.R
693e9366efc10f227262a65bd8e81dcd *R/optimize.plot.design.R
8b8f5e777fafdf768ee81689988c162b *R/python.functions.R
e63ccf9483ffa1936c519ab8b8ee7048 *R/relative.bias.R
c637ee8304d93650a01af4d31da09e36 *R/section.functions.R
8e56d80797a00fc003fc65aeaa9c994a *R/simulations.R
91f087c7ca38ebf1d1f3122aa0043969 *R/stem.analysis.R
ba2f4f69bdc97e2228f0dd419bb67e8d *R/tree.detection.multi.scan.R
2014424aeda097c62cbfda224af4fc1d *R/tree.detection.several.plots.R
276f7981619718a8200e56b32f5efd7f *R/tree.detection.single.scan.R
c172cf70202168659c8bb3be5b02a272 *R/zzz.R
8655a386b0391744e42c4ec522885ce8 *README.md
1a9b4cbc15023b4936923c2925dfed2f *build/partial.rdb
38c99d4821cfc965d9a47acb1bef7bef *build/vignette.rds
a365c0b8c83d86ab0b27c03c3a278458 *data/Rioja.data.RData
da1c246be7f6503592ab2ffb58faa06e *data/Rioja.simulations.RData
eefeee3d39b15998ce14b043f22ca48a *data/datalist
19b6d9ec9876e74ea899ebe6eddf6ee3 *inst/CITATION
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bc4519036611cd0a97d1094b7538a195 *inst/doc/plot_design_optimization.Rmd
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ab95a7cc9d0deab1bf8fd2b293798460 *inst/python/geometric_features.py
a273e6f1f878456cdd4f6f50c5e850f0 *inst/python/voxel_grid_downsampling.py
057a1d4a85fd50923e0b68d8e5dbb7e6 *man/FORTLS-package.Rd
87b0df5c8441f2ba84bdaa0a2175a1b3 *man/RANSAC_cpp.Rd
9563ed46ff840c7bc09be15d71855238 *man/Rioja.data.Rd
54694256d84657a1d006a43792f45a06 *man/Rioja.simulations.Rd
b2c89fb21ab1b7e419006cbad3f8c49c *man/angle_count_cpp.Rd
d0d1a79bf86ded090e873abf7ff47763 *man/correlations.Rd
737a7e7502f562827b6628a08c1d215c *man/distance.sampling.Rd
e6b9f48242b0716e329d1c6e2d75f717 *man/estimation.plot.size.Rd
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0d7a4a6337d9e47f0933da52181e985b *man/geometric_features_py.Rd
914da6a6a30ff2f5e6fb71f71e5e725d *man/height_perc_cpp.Rd
5aeb0cc61884a33be57fa729ff7eee99 *man/install_fortls_python_deps.Rd
133510ef06eceedb2c547c4454825cf1 *man/internal_ransac.Rd
58ac8ce53eaf15654033599b86d6d9cb *man/is_one_row_all_na.Rd
203b5a69502baed235134c31f4c42760 *man/iterations_RANSAC.Rd
c42ed133a44be6ebb6a3ca29a6a0a54f *man/k_tree_cpp.Rd
ba519398ff629f4f9daaf14516c57c6f *man/metrics.variables.Rd
f0aa217934bd17e55408238317dfc532 *man/normalize.Rd
f8f99dcf4c2aa53ea2088388421594d0 *man/optimize.plot.design.Rd
2a7190b835b342643db3cb51929feeb4 *man/relative.bias.Rd
0ea460e50c910097c4f5715e373e7f32 *man/sample_indices.Rd
21266cf0d2bb2e420f14c57a070b1d95 *man/simulations.Rd
748c94b5a6f6da19e608858ad4cee80e *man/tree.detection.multi.scan.Rd
11d834a50b6ced0f5ce79d7fb8b1d7c8 *man/tree.detection.several.plots.Rd
d5c5fd055c0ae38ce7c588ae29c0738a *man/tree.detection.single.scan.Rd
064a81a4b675699b2ce70a3e903c491b *man/voxel_grid_downsampling.Rd
387d1d3bd516d14e965a5111e85feaf9 *man/weighted_mean_arit.Rd
007057e862d2db74f268964e48a31770 *man/weighted_mean_geom.Rd
35c7324e756f36cf57898343b2c24667 *man/weighted_mean_harm.Rd
f6bb60639c3e82d3ca12bf147753f48c *man/weighted_mean_sqrt.Rd
b4f0b014ec53404e843dbc718fabf57e *src/Makevars
b4f0b014ec53404e843dbc718fabf57e *src/Makevars.win
b86a67de9cffc923fff99982a28bd152 *src/RcppExports.cpp
fdfaa7047d02bfb80db030d843c61bdc *src/geometric_features_dist.cpp
1f64516b682a929a08c4dc7418189768 *src/geometric_features_knn.cpp
d43eb8606ecdce4f5e4001238070c122 *src/ransac_and_util.cpp
ecc6740eeed59856a4c978566163df85 *src/simulations.cpp
5881deb09decad8398592f4f258f047f *tests/testthat.R
81051bcc2cf1bedf378224b0a93e2877 *tests/testthat/test-correlations.R
81051bcc2cf1bedf378224b0a93e2877 *tests/testthat/test-distance.sampling.R
81051bcc2cf1bedf378224b0a93e2877 *tests/testthat/test-estimation.plot.size.R
81051bcc2cf1bedf378224b0a93e2877 *tests/testthat/test-metrics.variables.R
81051bcc2cf1bedf378224b0a93e2877 *tests/testthat/test-normalize.R
81051bcc2cf1bedf378224b0a93e2877 *tests/testthat/test-optimize.plot.design.R
81051bcc2cf1bedf378224b0a93e2877 *tests/testthat/test-relative.bias.R
81051bcc2cf1bedf378224b0a93e2877 *tests/testthat/test-simulations.R
81051bcc2cf1bedf378224b0a93e2877 *tests/testthat/test-tree.detection.R
81051bcc2cf1bedf378224b0a93e2877 *tests/testthat/test-tree.detection.multiple.R
15cd5fbaae998f02a171dcd5743d2c7f *vignettes/diameters.laz
bc4519036611cd0a97d1094b7538a195 *vignettes/plot_design_optimization.Rmd
908a1c7173678e54b394dc927ce88302 *vignettes/pointcloud1.jpg
afd499099bc4b4327a2e02c53a0188c0 *vignettes/pointcloud1diameter.jpg
357e920b0f007fd3e151363c1eebaca5 *vignettes/stand_level.Rmd
be87bfc80d85575198d2f9ec13045e49 *vignettes/tree.list.multi.tls.csv
409474a5c12cff1c28bded97a0326250 *vignettes/tree.list.single.tls.csv
d2390568b360713a8c2d7b51c81a543c *vignettes/tree_level.Rmd
