Package: hosm 0.1.0

hosm: High Order Spatial Matrix

Automatically displays the order and spatial weighting matrix of the distance between locations. This concept was derived from the research of Mubarak, Aslanargun, and Siklar (2021) <doi:10.52403/ijrr.20211150> and Mubarak, Aslanargun, and Siklar (2022) <doi:10.17654/0972361722052>. Distance data between locations can be imported from 'Ms. Excel', 'maps' package or created in 'R' programming directly. This package also provides 5 simulations of distances between locations derived from fictitious data, the 'maps' package, and from research by Mubarak, Aslanargun, and Siklar (2022) <doi:10.29244/ijsa.v6i1p90-100>.

Authors:Fadhlul Mubarak [aut, cre], Sukru Acitas [aut], Atilla Aslanargun [aut], Ilyas Siklar [aut], Vinny Yuliani Sundara [aut]

hosm_0.1.0.tar.gz
hosm_0.1.0.zip(r-4.7)hosm_0.1.0.zip(r-4.6)hosm_0.1.0.zip(r-4.5)
hosm_0.1.0.tgz(r-4.6-any)hosm_0.1.0.tgz(r-4.5-any)
hosm_0.1.0.tar.gz(r-4.7-any)hosm_0.1.0.tar.gz(r-4.6-any)
hosm_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
hosm/json (API)

# Install 'hosm' in R:
install.packages('hosm', repos = c('https://mubarakfadhlul.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mubarakfadhlul/hosm/issues

Datasets:
  • simulation1 - Simulation 1 for High Order Spatial Matrix
  • simulation2 - Simulation 2 for High Order Spatial Matrix
  • simulation3 - Simulation 3 for High Order Spatial Matrix
  • simulation4 - Simulation 4 for High Order Spatial Matrix
  • simulation5 - Simulation 5 for High Order Spatial Matrix

On CRAN:

Conda:

2.70 score 231 downloads 1 exports 112 dependencies

Last updated from:842df43e11. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK157
source / vignettesOK163
linux-release-x86_64OK199
macos-release-arm64OK123
macos-oldrel-arm64OK114
windows-develOK94
windows-releaseOK86
windows-oldrelOK84
wasm-releaseOK143

Exports:hosm

Dependencies:askpassbackportsbase64encbitbit64blobbroombslibcachemcallrcellrangerclassclassIntclicliprconflictedcpp11crayoncurldata.tableDBIdbplyrdigestdplyrdtplyre1071evaluatefarverfastmapfontawesomeforcatsfsgarglegenericsggplot2gluegoogledrivegooglesheets4gtablehavenhighrhmshtmltoolshttridsisobandjquerylibjsonliteKernSmoothknitrlabelinglifecyclelubridatemagrittrmapsMASSmemoisemimemodelropensslotelpillarpkgconfigprettyunitsprocessxprogressproxypspurrrR6raggrappdirsRColorBrewerRcppreadrreadxlrematchrematch2reprexrlangrmarkdownrstudioapirvests2S7sassscalesselectrsfstringistringrsyssystemfontstextshapingtibbletidyrtidyselecttidyversetimechangetinytextzdbunitsutf8uuidvctrsviridisLitevroomwithrwkxfunxml2yaml