This R package provides tools for analysis of tourism demand, especially the analysis of seasonal concentration on tourism demand using decomposition methods. Also methods for creating trade weighted exchange indices.
Currently not on CRAN.
Development version:
# install.packages("devtools")
devtools::install_github("mariuslarsson/touRism")library(touRism)
library(dplyr)
library(tidyr)
data(norwayGuestNights2018)
#?norwayGuestNights2018
norwayGuestNights2018 %>%
dplyr::mutate(Norway=rowSums(dplyr::select_if(., is.numeric))) %>%
tidyr::gather(county, value, -month, -Norway) %>%
dplyr::group_by(county) %>%
dplyr::summarise(gini = touRism::gini(value),
giniRME = touRism::giniRME(Norway, value)) %>%
dplyr::arrange(dplyr::desc(gini))## # A tibble: 19 x 3
## county gini giniRME
## <chr> <dbl> <dbl>
## 1 Sogn.og.Fjordane 0.518 0.0377
## 2 Møre.og.Romsdal 0.425 0.0238
## 3 Aust.Agder 0.402 0.00478
## 4 Vest.Agder 0.388 0.00939
## 5 Nordland 0.362 0.0169
## 6 Finnmark...Finnmárku 0.358 0.00733
## 7 Hordaland 0.344 0.0356
## 8 Rogaland 0.320 0.00840
## 9 Akershus 0.314 0.00951
## 10 Telemark 0.312 0.00375
## 11 Vestfold 0.304 0.00199
## 12 Oppland 0.291 -0.00163
## 13 Trondelag 0.271 0.00258
## 14 Østfold 0.241 -0.00232
## 15 Buskerud 0.221 -0.0200
## 16 Svalbard 0.205 -0.00466
## 17 Hedmark 0.193 -0.0297
## 18 Oslo 0.191 -0.0658
## 19 Troms...Romsa 0.171 -0.0377