Package: spEcula 0.1.3.9900

spEcula: Spatial Prediction Methods In R

Advanced spatial prediction methods based on various spatial relationships.

Authors:Wenbo Lyu [aut, cre], Yangyang Lei [aut]

spEcula_0.1.3.9900.tar.gz
spEcula_0.1.3.9900.zip(r-4.7-any)spEcula_0.1.3.9900.zip(r-4.6-any)spEcula_0.1.3.9900.zip(r-4.5-any)
spEcula_0.1.3.9900.tgz(r-4.6-any)spEcula_0.1.3.9900.tgz(r-4.5-any)
spEcula_0.1.3.9900.tar.gz(r-4.7-any)spEcula_0.1.3.9900.tar.gz(r-4.6-any)
spEcula_0.1.3.9900.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
spEcula/json (API)

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

Bug tracker:https://github.com/spatlyu/specula/issues

Pkgdown/docs site:https://spatlyu.github.io

Datasets:
  • grid - Spatial grid data of explanatory variables
  • zn - Spatial datasets of trace element Zn

On CRAN:

Conda:

geoinformaticsgisciencespatial-analysisspatial-predictionsspatial-statistics

4.40 score 25 stars 6 scripts 5 exports 41 dependencies

Last updated from:b531b5388c. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK195
source / vignettesOK271
linux-releaseOK150
macos-releaseOK175
macos-oldrelOK175
windows-develOK159
windows-releaseOK93
windows-oldrelOK83
wasm-releaseOK204

Exports:%>%gosgos_bestkappainverse_bcPowersandwich

Dependencies:classclassIntclicpp11DBIdplyre1071farvergenericsggplot2ggrepelgluegtableisobandKernSmoothlabelinglifecyclemagrittrpillarpkgconfigproxypurrrR6RColorBrewerRcpprlangs2S7scalessfstringistringrtibbletidyrtidyselectunitsutf8vctrsviridisLitewithrwk

Sandwich Mapping Model
Load package and data | visualize the mean and standard deviation of the sample in each stratum | Run sandwich model for the sim data use area weight | Run sandwich model for the sim data use population weight
Rendered fromsandwich.Rmdusingknitr::rmarkdown

Last update: 2024-06-23
Started: 2024-06-10

Geographically Optimal Similarity Model
Load data and package | Data pre-processing and variable selection | Determining the optimal similarity | Spatial prediction use GOS model
Rendered fromGOS.Rmdusingknitr::rmarkdown

Last update: 2024-06-23
Started: 2024-06-09