R: Computing Key Indicators of the Spatial Distribution of Economic Activities

# Computing Key Indicators of the Spatial Distribution of Economic Activities

## Documentation for package ‘EconGeo’ version 2.0

- DESCRIPTION file
- Package README

## Help Pages

co_occurrence | Compute the number of co-occurrences between industry pairs from an incidence (industry - event) matrix
diversity | Compute a simple measure of diversity of regions
ease_recombination | Compute the ease of recombination of a given technological class
entropy | Compute the Shannon entropy index from regions - industries matrices
entry_list | Generate a data frame of entry events from multiple regions - industries matrices (same matrix composition for the different periods)
entry_mat | Generate a matrix of entry events from two regions - industries matrices (same matrix composition from two different periods)
exit_list | Generate a data frame of exit events from multiple regions - industries matrices (same matrix composition for the different periods)
exit_mat | Generate a matrix of exit events from two regions - industries matrices (same matrix composition from two different periods)
expy | Compute the expy index of regions from regions - industries matrices
get_list | Create regular data frames from regions - industries matrices
get_matrix | Create regions - industries matrices from regular data frames
gini | Compute the Gini coefficient
growth_ind | Generate a matrix of industrial growth by industries from two regions - industries matrices (same matrix composition from two different periods)
growth_list | Generate a data frame of industrial growth in regions from multiple regions - industries matrices (same matrix composition for the different periods)
growth_list_ind | Generate a data frame of industrial growth in regions from multiple regions - industries matrices (same matrix composition for the different periods)
growth_list_reg | Generate a data frame of region growth from multiple regions - industries matrices (same matrix composition for the different periods)
growth_mat | Generate a matrix of industrial growth in regions from two regions - industries matrices (same matrix composition from two different periods)
growth_reg | Generate a matrix of industrial growth by regions from two regions - industries matrices (same matrix composition from two different periods)
hachman | Compute the Hachman index from regions - industries matrices
herfindahl | Compute the Herfindahl index from regions - industries matrices
hoover_curve | Plot a Hoover curve from regions - industries matrices
hoover_gini | Compute the Hoover Gini
hoover_index | Compute the Hoover index
inv_norm_ubiquity | Compute a measure of complexity from the inverse of the normalized ubiquity of industries
kci | Compute an index of knowledge complexity of regions using the eigenvector method
krugman_index | Compute the Krugman index from regions - industries matrices
locational_gini | Compute the locational Gini coefficient from regions - industries matrices
locational_gini_curve | Plot a locational Gini curve from regions - industries matrices
location_quotient | Compute location quotients from regions - industries matrices
location_quotient_avg | Compute average location quotients of regions from regions - industries matrices
lorenz_curve | Plot a Lorenz curve from regional industrial counts
match_mat | Re-arrange the dimension of a matrix based on the dimension of another matrix
modular_complexity | Compute a measure of modular complexity of patent documents
modular_complexity_avg | Compute a measure of average modular complexity of technologies
morc | Compute an index of knowledge complexity of regions using the method of reflection
mort | Compute an index of knowledge complexity of industries using the method of reflection
norm_ubiquity | Compute a measure of complexity by normalizing ubiquity of industries
prody | Compute the prody index of industries from regions - industries matrices
rca | Compute an index of revealed comparative advantage (RCA) from regions - industries matrices
relatedness | Compute the relatedness between entities (industries, technologies, ...) from their co-occurence matrix
relatedness_density | Compute the relatedness density between regions and industries from regions - industries matrices and industries - industries matrices
relatedness_density_ext | Compute the relatedness density between regions and industries that are not part of the regional portfolio from regions - industries matrices and industries - industries matrices
relatedness_density_ext_avg | Compute the average relatedness density of regions to industries that are not part of the regional portfolio from regions - industries matrices and industries - industries matrices
relatedness_density_int | Compute the relatedness density between regions and industries that are part of the regional portfolio from regions - industries matrices and industries - industries matrices
relatedness_density_int_avg | Compute the average relatedness density within the regional portfolio from regions - industries matrices and industries - industries matrices
spec_coeff | Compute the Hoover coefficient of specialization from regions - industries matrices
tci | Compute an index of knowledge complexity of industries using the eigenvector method
ubiquity | Compute a simple measure of ubiquity of industries
weighted_avg | Compute a weighted average of regions or industries from regions - industries matrices
z_score | Compute the z-score between technologies from an incidence matrix