Simple computation of spatial statistic functions of distance to characterize the spatial structures of mapped objects, following Marcon, Traissac, Puech, and Lang (2015) <doi:10.18637/jss.v067.c03>. Includes classical functions (Ripley's K and others) and more recent ones used by spatial economists (Duranton and Overman's Kd, Marcon and Puech's M). Relies on 'spatstat' for some core calculation.
Version: 2.11-0 Depends: R (≥ 3.5.0), Rcpp (≥ 0.12.14), spatstat.explore Imports: cubature, doFuture, foreach, future, ggplot2, methods, progressr, RcppParallel, reshape2, rlang, spatstat.geom, spatstat.utils, spatstat.random, stats, tibble LinkingTo: Rcpp, RcppParallel Suggests: knitr, pkgdown, rmarkdown, testthat Published: 2025-06-17 DOI: 10.32614/CRAN.package.dbmss Author: Eric Marcon [aut, cre], Gabriel Lang [aut], Stephane Traissac [aut], Florence Puech [aut], Pierrot Froment [aut] Maintainer: Eric Marcon <eric.marcon at agroparistech.fr> BugReports: https://github.com/EricMarcon/dbmss/issues/ License: GPL-2 | GPL-3 [expanded from: GNU General Public License] URL: https://ericmarcon.github.io/dbmss/, https://github.com/EricMarcon/dbmss/ NeedsCompilation: yes SystemRequirements: pandoc, GNU make Citation: dbmss citation info Materials: README NEWS In views: Spatial CRAN checks: dbmss resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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