EconGeo (version 2.0)

ubiquity: Compute a simple measure of ubiquity of industries

Description

This function computes a simple measure of ubiquity of industries by counting the number of regions in which an industry can be found (location quotient > 1) from regions - industries (incidence) matrices

Usage

ubiquity(mat, rca = FALSE)

Value

A numeric vector representing the measure of ubiquity of industries. Each element of the vector corresponds to the number of regions in which an industry can be found (location quotient > 1).

Arguments

mat

An incidence matrix with regions in rows and industries in columns

rca

Logical; should the index of relative comparative advantage (RCA - also refered to as location quotient) first be computed? Defaults to FALSE (a binary matrix - 0/1 - is expected as an input), but can be set to TRUE if the index of relative comparative advantage first needs to be computed

Author

Pierre-Alexandre Balland

References

Balland, P.A. and Rigby, D. (2017) The Geography of Complex Knowledge, Economic Geography 93 (1): 1-23.

See Also

diversity location_quotient

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
ubiquity(mat, rca = TRUE)

## generate a region - industry matrix in which cells represent the presence/absence of a rca
set.seed(31)
mat <- matrix(sample(0:1, 20, replace = TRUE), ncol = 4)
rownames(mat) <- c("R1", "R2", "R3", "R4", "R5")
colnames(mat) <- c("I1", "I2", "I3", "I4")

## run the function
ubiquity(mat)