Title: | Geographically Weighted Partial Correlation Mapper |
Version: | 0.1.3 |
Description: | An interactive mapping tool for geographically weighted correlation and partial correlation. Geographically weighted partial correlation coefficients are calculated following (Percival and Tsutsumida, 2017)<doi:10.1553/giscience2017_01_s36> and are described in greater detail in (Tsutsumida et al., 2019)<doi:10.5194/ica-abs-1-372-2019> and (Percival et al., 2021)<doi:10.48550/arXiv.2101.03491>. |
License: | GPL-3 |
Imports: | config, golem, shiny, processx, attempt, DT, glue, htmltools, shinydashboard, sf, dplyr, geodist, plotly, crosstalk, viridis, leaflet, tools, shinyjs, Rcpp, corpcor, pkgload, methods |
LinkingTo: | Rcpp |
Encoding: | UTF-8 |
LazyData: | true |
RoxygenNote: | 7.1.1 |
Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown |
Config/testthat/edition: | 3 |
URL: | https://github.com/gwpcor/gwpcormapper |
BugReports: | https://github.com/gwpcor/gwpcormapper/issues |
Depends: | R (≥ 2.10) |
NeedsCompilation: | yes |
Packaged: | 2021-12-09 14:01:46 UTC; iosefa |
Author: | Joseph Emile Honour Percival
|
Maintainer: | Joseph Emile Honour Percival <ipercival@gmail.com> |
Repository: | CRAN |
Date/Publication: | 2021-12-09 16:00:02 UTC |
Launches gwpcorMapper.
Description
Launches gwpcorMapper.
Usage
run_app(...)
Arguments
... |
A series of options to be used inside the app. |
Value
null
Examples
## Not run:
gwpcormapper::run_app()
## End(Not run)
Tokyo 2005 Census Data.
Description
The original source of the data is the Portal Site of Official Statistics of Japan website (https://www.e-stat.go.jp/) Note that the original dataset was modified to provide English translations.
Usage
tokyo2005
Format
An object of class sf
(inherits from data.frame
) with 3134 rows and 229 columns.
Value
An sf object with census statistics of the 23 special wards of Tokyo from the year 2005.
Author(s)
Joseph Percival and Narumasa Tsutsumida ipercival@gmail.com
References
Examples
## Not run:
data(tokyo2005)
summary(tokyo2005)
## End(Not run)