inv_norm_ubiquity {EconGeo} | R Documentation |
Compute a measure of complexity from the inverse of the normalized ubiquity of industries
Description
This function computes a measure of complexity from the inverse of the normalized ubiquity of industries. We divide the logarithm of the total count (employment, number of firms, number of patents, ...) in an industry by its ubiquity. Ubiquity is given by the number of regions in which an industry can be found (location quotient > 1) from regions - industries (incidence) matrices
Usage
inv_norm_ubiquity(mat)
Arguments
mat |
An incidence matrix with regions in rows and industries in columns |
Value
A vector of complexity values computed from the inverse of the normalized ubiquity of industries.
Author(s)
Pierre-Alexandre Balland p.balland@uu.nl
References
Balland, P.A. and Rigby, D. (2017) The Geography of Complex Knowledge, Economic Geography 93 (1): 1-23.
See Also
diversity
, location_quotient
, ubiquity
, tci
, mort
Examples
## generate a region - industry matrix with full count
set.seed(31)
mat <- matrix(sample(0:10, 20, replace = TRUE), ncol = 4)
rownames(mat) <- c("R1", "R2", "R3", "R4", "R5")
colnames(mat) <- c("I1", "I2", "I3", "I4")
## run the function
inv_norm_ubiquity(mat)
[Package EconGeo version 2.0 Index]