A dataset containing the locations of Australian tourism regions, their geographic coordinates, and the nearest Bureau of Meteorology weather station. Each region is assigned a unique identifier for linking to other tourism datasets.
Format
A data frame with `r nrow(tourism_region)` rows and 5 variables: * **region**: Name of the tourism region. Tourism regions are defined by Tourism Research Australia and generally formed through the aggregation of Statistical Local Areas (SLAs) or other ABS-defined geographies. * **lon**: Longitude of the tourism region representative point (WGS84). * **lat**: Latitude of the tourism region representative point (WGS84). * **region_id**: Unique integer identifier for the tourism region. Useful for joining with other tourism-related datasets. * **ws_id**: Identifier of the nearest Bureau of Meteorology weather station to the tourism region.
Details
Coordinates for each tourism region are intended to represent a central location within the region (e.g., polygon centroid). The nearest weather station is determined using great-circle distance calculations based on the Bureau of Meteorology's official station list.
References
Tourism Research Australia: https://www.tra.gov.au Australian Bureau of Meteorology: http://www.bom.gov.au
Examples
data(tourism_region)
head(tourism_region)
#> # A tibble: 6 × 5
#> region lon lat region_id ws_id
#> <chr> <dbl> <dbl> <int> <chr>
#> 1 ACT - South West 149. -35.4 1 949250-99999
#> 2 APY Lands 131. -27.1 2 944740-99999
#> 3 Abbotsford 145. -37.8 3 959360-99999
#> 4 Aberfoyle Park 139. -35.1 4 946830-99999
#> 5 Acacia Gardens 151. -33.7 5 947640-99999
#> 6 Acton 145. -37.9 6 948650-99999