Bibliometric analysis of the quantitative methods applied to the measurement of industrial clusters

CP Chain, AC Santos, LG Castro… - Journal of Economic …, 2019 - Wiley Online Library
Literature on methods for analysing interindustry interdependence and geographical
concentration of firms began to multiply since the 1990s. The aim of this paper was to …

entropart: An R package to measure and partition diversity

E Marcon, B Hérault - Journal of Statistical Software, 2015 - jstatsoft.org
entropart: An R Package to Measure and Partition Diversity Page 1 JSS Journal of Statistical
Software October 2015, Volume 67, Issue 8. doi:10.18637/jss.v067.i08 entropart: An R Package …

Principal component analysis for geographical data: the role of spatial effects in the definition of composite indicators

A Cartone, P Postiglione - Spatial Economic Analysis, 2021 - Taylor & Francis
This paper investigates the role of spatial dependence, spatial heterogeneity and spatial
scale in principal component analysis for geographically distributed data. It considers spatial …

A typology of distance-based measures of spatial concentration

E Marcon, F Puech - Regional Science and Urban Economics, 2017 - Elsevier
Over the last decade, distance-based methods have been introduced and then improved in
the field of spatial economics to gauge the geographic concentration of activities. There is a …

[PDF][PDF] Технологическая интеграция в обрабатывающей промышленности в условиях цифровой экономики: монография

ЛМ Давиденко - Павлодар: Инновац. Евраз. ун-т, 2019 - dblib.rsreu.ru
Технологическая интеграция в обрабатывающей промышленности в условиях
цифровой экономики: монография Page 29 УДК 330.35; ГРНТИ 82.15. 05 …

Distance-based measures of spatial concentration: introducing a relative density function

G Lang, E Marcon, F Puech - The Annals of Regional Science, 2020 - Springer
For more than a decade, distance-based methods have been widely employed and
constantly improved in spatial economics. These methods are a very useful tool for …

Tools to characterize point patterns: dbmss for R

E Marcon, S Traissac, F Puech, G Lang - Journal of Statistical Software, 2015 - jstatsoft.org
The dbmss package for R provides an easy-to-use toolbox to characterize the spatial
structure of point patterns. Our contribution presents the state of the art of distance-based …

Point pattern methods for analyzing industrial location

M Gómez-Antonio, Á Alañón-Pardo - Investigación económica, 2020 - scielo.org.mx
Literature on point pattern methods for analyzing geographical concentration of firms has
increased dramatically over the last decade. Revision of the state of the art in empirical …

[HTML][HTML] SPAG: Index of spatial agglomeration

K Kopczewska, P Churski, A Ochojski… - Papers in Regional …, 2019 - Elsevier
The paper develops a spatial agglomeration index (SPAG) of the economic activity for the
point geo‐localizations of firms. It includes the effects of location, the distance between firms …

A Moran eigenvector spatial filtering specification of entropy measures

DA Griffith, Y Chun, J Hauke - Papers in Regional Science, 2022 - Wiley Online Library
Regional science investigations of geographical disparities in socio‐economic development
sometimes utilize entropy, which measures a phenomenon's distributional uniformity across …