Package: BASSr 0.3.0

BASSr: Benefit Applied Strategic Sampling

Sampling design for generating a spatially dispersed sample that is representative across multiple variables.

Authors:David Hope

BASSr_0.3.0.tar.gz
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BASSr_0.3.0.tgz(r-4.6-x86_64)BASSr_0.3.0.tgz(r-4.6-arm64)BASSr_0.3.0.tgz(r-4.5-x86_64)BASSr_0.3.0.tgz(r-4.5-arm64)
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BASSr_0.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
BASSr/json (API)

# Install 'BASSr' in R:

install.packages('BASSr', repos = c('https://dhope.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/dhope/bassr/issues

Pkgdown/docs site:https://davidhope.ca

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

all_study_areas - All of Ontario's Study Areas
clrfile - Rgb colour codes to plot 2015 National Land Cover.
cost_vars - Variables for cost estimation
lcc2015_codes - 2015 National Landcover Classification Table
ontario - Polygon SF of Ontario
psu_costs - Dummy costs data
psu_hex_dirty - Dummy hex data to be cleaned
psu_hexagons - Dummy hex data
psu_samples - Dummy sampled hexes
ssu_land_cover - Dummy SSU land cover
ssu_points - Dummy SSU points
StudyArea_hexes - BASSr data needed for example study area

On CRAN:

cpp

3.88 score 1 stars 6 scripts 26 exports 76 dependencies

Last updated from:3fadb7f4a5. Checks:11 ERROR, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	ERROR	202
linux-devel-x86_64	ERROR	213
source / vignettes	OK	321
linux-release-arm64	ERROR	212
linux-release-x86_64	ERROR	248
macos-release-arm64	ERROR	179
macos-release-x86_64	ERROR	351
macos-oldrel-arm64	ERROR	208
macos-oldrel-x86_64	ERROR	345
windows-devel	ERROR	216
windows-release	ERROR	284
windows-oldrel	ERROR	256
wasm-release	OK	162

Exports:allhexes calculate_benefit calculate_inclusion_probs calculate_PPS_hab_inlc_pr calculate_z_scores clean_land_cover cost_vars create_hexes create_sites downweight_selection_pr draw_random_samples estimate_cost_study_area extract_habitat_cost full_BASS_run genraster getresults_BASS noGRTS_BASS_run oppositeSigns prepare_cost run_full_BASS_w_selection run_grts_on_BASS select_sites speedbass subsample_grts_and_calc_benefit sumC sumH

Dependencies:AlgDesign BH boot brio callr class classInt cli cpp11 crayon crossdes data.table DBI deldir desc diffobj dplyr e1071 evaluate fs generics glue gtools jsonlite KernSmooth lattice lifecycle lme4 lpSolve magrittr MASS Matrix minqa mitools nabor nlme nloptr nngeo numDeriv otel pillar pkgbuild pkgconfig pkgload praise processx proxy ps purrr R6 rbibutils Rcpp RcppArmadillo RcppEigen Rdpack reformulas rlang rprojroot s2 sampling sf spsurvey stringi stringr survey survival testthat tibble tidyr tidyselect units utf8 vctrs waldo withr wk

BASSr Workflow

Packages and settings | Introduction | Step 1. Define your area of interest | Step 2. Create hexagons

Rendered fromWorkflow.Rmdusingknitr::rmarkdown

Last update: 2025-06-19
Started: 2020-11-16

Getting Started - Some real data

Rendered fromBASSr_real.Rmdusingknitr::rmarkdown

Last update: 2025-06-19
Started: 2023-08-30

Step by Step

Rendered fromBASS_Benefit_Step_by_Step.Rmdusingknitr::rmarkdown

Last update: 2025-06-18
Started: 2020-01-29

Cost Breakdown

Cost model parts | Baseline variables

Rendered fromCostBreakDown.Rmdusingknitr::rmarkdown

Last update: 2025-06-18
Started: 2020-02-18

Getting Started

Rendered fromBASSr.Rmdusingknitr::rmarkdown

Last update: 2024-04-12
Started: 2023-03-17

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
All of Ontario's Study Areas	all_study_areas
Run speed bass on all hexagons and all samples	allhexes
BASSr: Benefit Applied Strategic Sampling in R	BASSr-package BASSr
BASSr defunct functions	BASSr-defunct clean_forBass run_full_BASS_w_selection
BASSr deprecated functions	BASSr-deprecated extract_habitat_cost genraster getresults_BASS noGRTS_BASS_run subsample_grts_and_calc_benefit
Calculate the benefit of a hexagon from grts results.	calculate_benefit
BASS cost benefit calculation	calculate_inclusion_probs
Calculate Propbability Proportional to Size (PPS) inclusion probabilities	calculate_PPS_hab_inlc_pr
Calculate z-scores for each hexagon by sum of individual z scores	calculate_z_scores
Clean land cover habitat data	clean_land_cover
rgb colour codes to plot 2015 National Land Cover.	clrfile
Variables for cost estimation	cost_vars
Create Hexagonal grid	create_hexes
Create sampling sites within hexagons	create_sites
Adjust selection weighting	downweight_selection_pr
Draw random sample	draw_random_samples
Cost model estimate	estimate_cost_study_area
Extract Habitat and Cost	extract_habitat_cost-deprecated
A full BASS run	full_BASS_run
Generate Raster	genraster-deprecated
Get the results from a BASS grts run	getresults_BASS-deprecated
2015 National Landcover Classification Table	lcc2015_codes
A calculate BASS from random samples	noGRTS_BASS_run-deprecated
Polygon SF of Ontario	ontario
Opposite signs True or false	oppositeSigns
Propare hexagons for cost calculations	prepare_cost
Dummy costs data	psu_costs
Dummy hex data to be cleaned	psu_hex_dirty
Dummy hex data	psu_hexagons
Dummy sampled hexes	psu_samples
Full BASSr run with sample selection	run_full_BASS_w_selection-defunct
Run grts sampling on BASSr results	run_grts_on_BASS
Select sites for sampling	select_sites
The internal BASSr benefit algorithm	speedbass
Dummy SSU land cover	ssu_land_cover
Dummy SSU points	ssu_points
BASSr data needed for example study area	StudyArea_hexes
Subsample GRTS and calculate benefit	subsample_grts_and_calc_benefit-deprecated
sum of vector	sumC
Add a number to a sum of vector	sumH