README.md

In mariuslarsson/touRism: Tools for Analysis of Tourism Demand

Welcome to touRism

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.

Installation

Currently not on CRAN.

Development version:

# install.packages("devtools")
devtools::install_github("mariuslarsson/touRism")

Usage

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

Contact

[e-mail]

mariuslarsson/touRism documentation built on Oct. 3, 2021, 8:30 p.m.