Package: dissmapr 0.2.0

Sandra MacFadyen

dissmapr: Workflow for Compositional Dissimilarity and Biodiversity Turnover Analysis

Tools to compute and map biodiversity turnover at the macroscale. 'dissmapr' provides a reproducible, end-to-end workflow for computing and mapping compositional dissimilarity and biodiversity turnover across large spatial scales, including occurrence-data retrieval, environmental-data extraction, flexible grid generation, order-wise dissimilarity computation (zeta diversity and multi-site generalised dissimilarity modelling) and bioregional mapping.

Authors:Sandra MacFadyen [aut, cre], Stellenbosch University [cph], European Union [fnd]

dissmapr_0.2.0.tar.gz
dissmapr_0.2.0.zip(r-4.7)dissmapr_0.2.0.zip(r-4.6)dissmapr_0.2.0.zip(r-4.5)
dissmapr_0.2.0.tgz(r-4.6-any)dissmapr_0.2.0.tgz(r-4.5-any)
dissmapr_0.2.0.tar.gz(r-4.7-any)dissmapr_0.2.0.tar.gz(r-4.6-any)
dissmapr_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
dissmapr/json (API)

# Install 'dissmapr' in R:

install.packages('dissmapr', repos = c('https://b-cubed-eu.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/b-cubed-eu/dissmapr/issues

Pkgdown/docs site:https://b-cubed-eu.github.io

On CRAN:

biodiversity dissimilarity spatiotemporal

4.90 score 2 stars 33 scripts 27 exports 194 dependencies

Last updated from:052a3fb49d. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	367
source / vignettes	OK	331
linux-release-x86_64	OK	329
macos-release-arm64	OK	229
macos-oldrel-arm64	OK	230
windows-devel	OK	266
windows-release	OK	241
windows-oldrel	OK	225
wasm-release	OK	231

Exports:abund assign_mapsheet calculate_pairwise_distances_matrix calculate_pairwise_gower_dist_matrix compute_orderwise cor_pears cor_spear diss_bcurt distance format_df generate_grid geodist_helper get_enviro_data get_occurrence_data gower_dissimilarity map_bioreg map_bioregDiff mutual_info orderwise_diss_gower phi_coef plot_ispline_boxplots plot_ispline_lines predict_dissim richness rm_correlated run_ispline_models turnover

Dependencies:abind askpass backports base64enc boot broom bslib cachem car carData caret class classInt cli clock cluster clValid codetools colorspace commonmark corrplot cowplot cpp11 crosstalk curl data.table DBI dendextend Deriv diagram digest doBy dotCall64 dplyr DT e1071 ellipse emmeans entropy estimability evaluate factoextra FactoMineR farver fastmap fields flashClust fontawesome foreach forecast Formula fracdiff fs future future.apply generics geodata geodist geosphere ggplot2 ggpubr ggrepel ggsci ggsignif ggtext glm2 globals glue gower gridExtra gridtext gtable hardhat highr htmltools htmlwidgets httr ipred irlba isoband iterators jpeg jquerylib jsonlite KernSmooth knitr labeling later lattice lava lazyeval leaps lifecycle listenv litedown lme4 lmtest lubridate magrittr maps markdown MASS Matrix MatrixModels mclust memoise mgcv mime minqa ModelMetrics modelr multcompView mvtnorm NbClust nlme nloptr nnet nnls numDeriv openssl otel parallelly patchwork pbapply pbkrtest permute pillar pkgconfig plyr png polynom pROC prodlim progressr promises proxy purrr quantreg R6 rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack recipes reformulas reshape2 rlang rmarkdown rpart rstatix s2 S7 sass scales scam scatterplot3d sf shape showtext showtextdb spam SparseM sparsevctrs SQUAREM stringi stringr survival sys sysfonts terra tibble tidyr tidyselect timechange timeDate tinytex tzdb units urca utf8 vctrs vegan viridis viridisLite withr wk xfun xml2 yaml zetadiv zoo

Get started with dissmapr

Installation | A minimal, reproducible workflow

Rendered fromdissmapr.Rmdusingknitr::rmarkdown

Last update: 2026-06-26
Started: 2026-06-26

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Calculate Species Abundance	abund
Add Nearest Mapsheet Code and Center Coordinates	assign_mapsheet
Compute Order-wise Metrics	compute_orderwise
Calculate Pearson's Correlation	cor_pears
Calculate Spearman's Rank Correlation	cor_spear
Calculate Bray-Curtis Dissimilarity	diss_bcurt
Format Biodiversity Records to Long / Wide	format_df
Generate Spatial Grid and Gridded Summaries	generate_grid
Calculate geographic distance via Haversine formula (helper)	geodist_helper
Retrieve, crop, resample, and link environmental rasters to sampling sites	get_enviro_data
Import and harmonise biodiversity-occurrence data	get_occurrence_data
Raster-based Clustering and Interpolation of Bioregional Data	map_bioreg
Map Bioregional Change Metrics Between Categorical Raster Layers	map_bioregDiff
Calculate Mutual Information	mutual_info
Compute Gower dissimilarity between two site vectors	orderwise_diss_gower
Calculate Phi Coefficient	phi_coef
Plot facetted boxplots for all ispline basis columns	plot_ispline_boxplots
Plot ispline partial effects with quantile and start-point markers	plot_ispline_lines
Predict Pairwise Compositional Turnover (zeta-dissimilarity) with Richness	predict_dissim
Calculate Species Richness	richness
Remove Highly Correlated Predictors	rm_correlated
Run multiple Zeta.msgdm ispline models and return both models and combined ispline table	run_ispline_models
Calculate Species Turnover or Beta Diversity	turnover