Retrieves the classification of Italian municipalities into six categories; classes D, E, and F are the so-called internal/inner areas; classes A, B and C are the central areas.
Get_InnerAreas(verbose = TRUE, autoAbort = FALSE)An object of class tbl_df, tbl and data.frame.
Logical. Whether to keep track of computational time. TRUE by default.
Logical. Whether to automatically abort the operation and return NULL in case of missing internet connection or server response errors. FALSE by default.
Classes are defined according to these criteria; see the methodological note (in Italian) for more detail:
A - Standalone pole municipalities, the highest degree of centrality; they are characterised by a thorough and self-sufficient combined endowment of school, health and transport infrastructure, i.e. there are at least a lyceum and a technical high school; a railway station of medium dimensions and a hospital provided with an emergency ward.
B - Intermunicipality poles; the endowment of such infrastructures is complete if a small set of contiguous municipalities is considered
The remaining classes are defined in terms of the national distribution of the road distances from a municipality to the closest pole:
C - Belt municipalities, travel time below the median (< 27'42'') .
D - Intermediate municipalities, travel time between the median and the third quartile (27'42'' - 40'54'').
E - Peripheral municipalities, travel time between the third quartile and 97.5th percentile (40'54'' - 1h 6' 54'').
F - Ultra-peripheral municipalities, travel time over the 97.5th percentile (>1h 6' 54'').
For more information regarding the dataset, it is possible to check the ISTAT methodological note (in Italian) available at <https://www.istat.it/it/files//2022/07/FOCUS-AREE-INTERNE-2021.pdf>
# \donttest{
InnerAreas <- Get_InnerAreas(autoAbort = TRUE)
InnerAreas[, c(1,9,13)]
# }
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