diff --git a/DESCRIPTION b/DESCRIPTION index 33b604a..7f8d9e0 100755 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,7 +1,7 @@ Package: lingtypology Type: Package Title: Linguistic Typology and Mapping -Version: 1.1.17 +Version: 1.1.18 Depends: R (>= 3.5.0) Imports: leaflet, @@ -31,13 +31,12 @@ License: GPL (>= 2) URL: https://CRAN.R-project.org/package=lingtypology, https://github.com/ropensci/lingtypology/, https://ropensci.github.io/lingtypology/ BugReports: https://github.com/ropensci/lingtypology/issues LazyData: TRUE -RoxygenNote: 7.3.1 +RoxygenNote: 7.3.2 Encoding: UTF-8 Suggests: knitr, rmarkdown, testthat, - covr, MASS, sp, sf, diff --git a/NEWS b/NEWS index 55525a9..de9efd7 100755 --- a/NEWS +++ b/NEWS @@ -1,3 +1,6 @@ +lingtypology 1.1.18 +- update `wals` dataset after Michael Cysouw's comment #89 + lingtypology 1.1.17 - update Glottolog to v. 5.0 diff --git a/R/wals.R b/R/wals.R index 593f8f2..9f26d3a 100755 --- a/R/wals.R +++ b/R/wals.R @@ -2,7 +2,7 @@ #' #' Language identifiers from WALS (\url{https://wals.info/}). This dataset is created for \code{\link{wals.feature}} function. #' -#' @format A data frame with 2950 rows and 2 variables: +#' @format A data frame with 2678 rows and 2 variables: #' \describe{ #' \item{wals.code}{WALS language identifier} #' \item{glottocode}{Glottocode} diff --git a/data/wals.RData b/data/wals.RData index 385bb67..e7128d1 100755 Binary files a/data/wals.RData and b/data/wals.RData differ diff --git a/database_creation/.~lock.data_countries_altern_codes.tsv# b/database_creation/.~lock.data_countries_altern_codes.tsv# deleted file mode 100644 index 0b12531..0000000 --- a/database_creation/.~lock.data_countries_altern_codes.tsv# +++ /dev/null @@ -1 +0,0 @@ -,agricolamz,ZenBook,24.02.2022 16:20,file:///home/agricolamz/.config/libreoffice/4; \ No newline at end of file diff --git a/database_creation/glottolog_database_creation_v3.R b/database_creation/glottolog_database_creation_v3.R index 765f140..0d94fec 100644 --- a/database_creation/glottolog_database_creation_v3.R +++ b/database_creation/glottolog_database_creation_v3.R @@ -148,3 +148,13 @@ setwd("/home/agricolamz/work/packages/lingtypology/database_creation") countries <- read_csv("country.data.csv") setwd("/home/agricolamz/work/packages/lingtypology/data/") save(countries, file="countries.RData", compress='xz') + + +# wals -------------------------------------------------------------------- +setwd("/home/agricolamz/work/packages/lingtypology/database_creation") +wals <- read_csv("wals.csv") +setwd("/home/agricolamz/work/packages/lingtypology/data/") +save(wals, file="wals.RData", compress='xz') + + + diff --git a/database_creation/wals.csv b/database_creation/wals.csv new file mode 100644 index 0000000..b7dea94 --- /dev/null +++ b/database_creation/wals.csv @@ -0,0 +1,2679 @@ +wals.code,glottocode +egn,enge1239 +bnn,bann1247 +ard,aran1237 +ktk,afad1236 +klw,kili1268 +irx,iran1263 +mnm,mana1295 +non,noon1243 +pil,pile1238 +cav,cavi1250 +koa,koas1236 +ktu,nucl1297 +tpr,tupu1244 +sil,dars1235 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+ksl,keny1241 +dge,germ1281 +mcf,mich1243 +mnj,mart1256 +hli,halk1245 +bly,nija1241 +guf,gupa1247 +wgg,wang1290 +bgm,bang1363 +kgy,kyer1238 +knz,kham1282 +khd,kham1282 +bwc,west2560 +mqf,momu1241 +csk,jola1262 +nbm,ngba1284 +cea,swam1239 +bnu,bula1255 +wom,womo1238 +hks,hong1241 +isl,inte1259 +mkw,maku1246 +ktt,kott1239 +myy,mayk1239 +cco,tutu1242 +bah,xiri1243 +kua,None +aab,None +jua,None +joh,None +tms,None +keu,None +rcp,None +lgh,None diff --git a/docs/lingtypology_dplyr.Rmd b/docs/lingtypology_dplyr.Rmd index 9dc9c81..b9de108 100644 --- a/docs/lingtypology_dplyr.Rmd +++ b/docs/lingtypology_dplyr.Rmd @@ -214,7 +214,7 @@ unlink("./atlas_Some_WALS_features/", recursive = TRUE) ### 6. Create .kml file using `sp` and `rgdal` -.kml file is a common file type for geospatial data. This kind of files are used in [Google Earth](https://en.wikipedia.org/wiki/Google_Earth), [Gabmap](http://www.gabmap.nl/) (a web application that visualizes dialect variations) and others. In order to produce a .kml file you need to have a dataset with coordinates such as `circassian`: +.kml file is a common file type for geospatial data. This kind of files are used in [Google Earth](https://en.wikipedia.org/wiki/Google_Earth), [Gabmap](https://github.com/pebbe/Gabmap) (a web application that visualizes dialect variations) and others. In order to produce a .kml file you need to have a dataset with coordinates such as `circassian`: ```{r, eval= FALSE} sp::coordinates(circassian) <- ~longitude+latitude sp::proj4string(circassian) <- sp::CRS("+proj=longlat +datum=WGS84") diff --git a/man/wals.Rd b/man/wals.Rd index 05e8c9b..217c7aa 100755 --- a/man/wals.Rd +++ b/man/wals.Rd @@ -5,7 +5,7 @@ \alias{wals} \title{WALS's Language identifiers} \format{ -A data frame with 2950 rows and 2 variables: +A data frame with 2678 rows and 2 variables: \describe{ \item{wals.code}{WALS language identifier} \item{glottocode}{Glottocode} diff --git a/vignettes/lingtypology_dplyr.R b/vignettes/lingtypology_dplyr.R index e95bfad..0591aeb 100644 --- a/vignettes/lingtypology_dplyr.R +++ b/vignettes/lingtypology_dplyr.R @@ -1,4 +1,4 @@ -## ---- include=FALSE----------------------------------------------------------- +## ----include=FALSE------------------------------------------------------------ library(lingtypology) knitr::opts_chunk$set(message= FALSE, eval=FALSE) @@ -6,7 +6,7 @@ knitr::opts_chunk$set(message= FALSE, eval=FALSE) # new_data <- read.csv("https://goo.gl/GgscBE") # tail(new_data) -## ---- message= FALSE---------------------------------------------------------- +## ----message= FALSE----------------------------------------------------------- # library(dplyr) # new_data |> # mutate(Language.name = gsub(pattern = " ", replacement = "", Language.name)) |> @@ -15,7 +15,7 @@ knitr::opts_chunk$set(message= FALSE, eval=FALSE) # select(Language.name) |> # map.feature() -## ---- message= FALSE---------------------------------------------------------- +## ----message= FALSE----------------------------------------------------------- # new_data |> # mutate(Language.name = gsub(pattern = " ", replacement = "", Language.name)) |> # filter(is.glottolog(Language.name) == TRUE) |> @@ -56,7 +56,7 @@ knitr::opts_chunk$set(message= FALSE, eval=FALSE) # map.feature(c("French", "Occitan")) |> # leaflet.extras::addFullscreenControl() -## ---- eval = FALSE------------------------------------------------------------ +## ----eval = FALSE------------------------------------------------------------- # map.feature(c("West Circassian", "Russian")) |> # mapedit::editMap() -> # my_polygone @@ -73,27 +73,27 @@ knitr::opts_chunk$set(message= FALSE, eval=FALSE) # library(leafsync) # sync(faceted, no.initial.sync = FALSE) -## ---- eval=FALSE-------------------------------------------------------------- +## ----eval=FALSE--------------------------------------------------------------- # m1 <- map.feature(lang.aff("Tsezic"), label = lang.aff("Tsezic")) # m2 <- map.feature(lang.aff("Avar-Andi"), label = lang.aff("Avar-Andi")) # sync(m1, m2) -## ---- eval=FALSE-------------------------------------------------------------- +## ----eval=FALSE--------------------------------------------------------------- # library(overpass) -## ---- eval=FALSE-------------------------------------------------------------- +## ----eval=FALSE--------------------------------------------------------------- # settlements <- 'area[name~"Дагестан|Ингушетия|Чечня"]; # (node["place"~"city|village|town|hamlet"](area);); # out;' -## ---- eval=FALSE-------------------------------------------------------------- +## ----eval=FALSE--------------------------------------------------------------- # query_result <- overpass_query(settlements) # settlement_data <- as.data.frame(query_result[, c("id", "lon", "lat", "name")]) -## ---- eval=FALSE-------------------------------------------------------------- +## ----eval=FALSE--------------------------------------------------------------- # settlement_data <- settlement_data[complete.cases(settlement_data),] -## ---- eval=FALSE-------------------------------------------------------------- +## ----eval=FALSE--------------------------------------------------------------- # map.feature(language = "fake", # latitude = settlement_data$lat, # longitude = settlement_data$lon, @@ -113,13 +113,13 @@ knitr::opts_chunk$set(message= FALSE, eval=FALSE) ## ----------------------------------------------------------------------------- # list.files("./atlas_Some_WALS_features/") -## ---- eval=FALSE-------------------------------------------------------------- +## ----eval=FALSE--------------------------------------------------------------- # rmarkdown::render_site("./atlas_Some_WALS_features/") -## ---- include=FALSE----------------------------------------------------------- +## ----include=FALSE------------------------------------------------------------ # unlink("./atlas_Some_WALS_features/", recursive = TRUE) -## ---- eval= FALSE------------------------------------------------------------- +## ----eval= FALSE-------------------------------------------------------------- # sp::coordinates(circassian) <- ~longitude+latitude # sp::proj4string(circassian) <- sp::CRS("+proj=longlat +datum=WGS84") # rgdal::writeOGR(circassian["village"], diff --git a/vignettes/lingtypology_dplyr.Rmd b/vignettes/lingtypology_dplyr.Rmd index d8cbdc0..88a71b1 100644 --- a/vignettes/lingtypology_dplyr.Rmd +++ b/vignettes/lingtypology_dplyr.Rmd @@ -219,7 +219,7 @@ unlink("./atlas_Some_WALS_features/", recursive = TRUE) ### 6. Create .kml file using `sp` and `rgdal` -.kml file is a common file type for geospatial data. This kind of files are used in [Google Earth](https://en.wikipedia.org/wiki/Google_Earth), [Gabmap](https://gabmap.let.rug.nl/) (a web application that visualizes dialect variations) and others. In order to produce a .kml file you need to have a dataset with coordinates such as `circassian`: +.kml file is a common file type for geospatial data. This kind of files are used in [Google Earth](https://en.wikipedia.org/wiki/Google_Earth), [Gabmap](https://github.com/pebbe/Gabmap) (a web application that visualizes dialect variations) and others. In order to produce a .kml file you need to have a dataset with coordinates such as `circassian`: ```{r, eval= FALSE} sp::coordinates(circassian) <- ~longitude+latitude sp::proj4string(circassian) <- sp::CRS("+proj=longlat +datum=WGS84") diff --git a/vignettes/lingtypology_dplyr.html b/vignettes/lingtypology_dplyr.html index d4ba9a9..3ba9fb7 100644 --- a/vignettes/lingtypology_dplyr.html +++ b/vignettes/lingtypology_dplyr.html @@ -12,7 +12,7 @@ - +