The R statistical software is increasingly used to perform analysis
on the spatial distribution of economic activities. It contains
state-of-the-art statistical and graphical routines not yet available in
other software such as SAS, Stata, or SPSS. R is also free and
opensource. Many graduate students and researchers, however, find
programming in R either too challenging or end up spending a lot of
their precious time solving trivial programming tasks. This is why I
created the EconGeo package. Users do not need extensive programming
skills to use it. EconGeo allows to easily compute a series of indices
commonly used in the fields of economic geography, economic complexity,
and evolutionary economics to describe the location, distribution,
spatial organization, structure, and complexity of economic activities.
Functions include basic spatial indicators such as the location
quotient, the Krugman specialization index, the Herfindahl or the
Shannon entropy indices but also more advanced functions to compute
different forms of normalized relatedness between economic activities or
network-based measures of economic complexity. By opening and sharing
the codes used to compute popular indicators of the spatial distribution
of economic activities, one of the goals of this package is to make
peer-reviewed empirical studies more reproducible by a large community
of researchers. Read
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