L. Alfaro and M. X. Chen, The global agglomeration of multinational firms, Journal of International Economics, vol.94, issue.2, pp.263-276, 2014.

G. Arbia, Spatial Data Configuration in Statistical Analysis of Regional Economic and Related Problems, 1989.

G. Arbia, The Role of Spatial Effects in the Empirical Analysis of Regional Concentration, Journal of Geographical Systems, vol.3, issue.3, pp.271-281, 2001.

G. Arbia, Spatial Econometrics: A Broad View. Foundations and Trends R in Econometrics, vol.8, issue.3-4, pp.145-265, 2016.

G. Arbia and G. Espa, Statistica economica territoriale, 1996.

G. Arbia, G. Espa, and D. Quah, A class of spatial econometric methods in the empirical analysis of clusters of firms in the space, Empirical Economics, vol.34, issue.1, pp.81-103, 2008.

G. Arbia, G. Espa, D. Giuliani, and A. Mazzitelli, Clusters of firms in an inhomogeneous space: The high-tech industries in Milan, Economic Modelling, vol.29, issue.1, pp.3-11, 2012.

A. J. Baddeley and R. Turner, Spatstat: an R package for analyzing spatial point patterns, Journal of Statistical Software, vol.12, issue.6, pp.1-42, 2005.

A. J. Baddeley, J. Møller, and R. P. Waagepetersen, Non-and semi-parametric estimation of interaction in inhomogeneous point patterns, Statistica Neerlandica, vol.54, issue.3, pp.329-350, 2000.

F. J. Bade, E. Bode, and E. Cutrini, Spatial fragmentation of industries by functions, The Annals of Regional Science, vol.54, issue.1, pp.215-250, 2015.

M. Barlet, A. Briant, and L. Crusson, Location patterns of service industries in France: A distance-based approach, Regional Science and Urban Economics, vol.43, issue.2, pp.338-351, 2013.

K. Behrens and T. Bougna, An Anatomy of the Geographical Concentration of Canadian Manufacturing Industries, Regional Science and Urban Economics, vol.51, pp.47-69, 2015.

K. Behrens and R. Guillain, The determinants of coagglomeration: Evidence from functional employment patterns, 2017.

S. B. Billings and E. B. Johnson, A non-parametric test for industrial specialization, Journal of Urban Economics, vol.71, issue.3, pp.312-331, 2012.

C. Bocci and R. E. , Modelling the location decisions of manufacturing firms with a spatial point process approach, Journal of Applied Statistics, vol.43, issue.7, pp.1226-1239, 2016.

F. Bonneu, Exploring and Modeling Fire Department Emergencies with a Spatio-Temporal Marked Point Process. Case Studies in Business, Industry and Government Statistics, vol.1, issue.2, pp.139-152, 2007.

F. Bonneu and C. Thomas-agnan, Measuring and Testing Spatial Mass Concentration with Micro-geographic Data, Spatial Economic Analysis, vol.10, issue.3, pp.289-316, 2015.

A. Briant, P. P. Combes, and M. Lafourcade, Dots to boxes: Do the size and shape of spatial units jeopardize economic geography estimations, Journal of Urban Economics, vol.67, issue.3, pp.287-302, 2010.
URL : https://hal.archives-ouvertes.fr/halshs-00586029

M. Brülhart and R. Traeger, An Account of Geographic Concentration Patterns in Europe, Regional Science and Urban Economics, vol.35, issue.6, pp.597-624, 2005.

K. Buzard, G. A. Carlino, R. M. Hunt, J. K. Carr, and T. E. Smith, The agglomeration of American R&D labs, Journal of Urban Economics, vol.101, pp.14-26, 2017.

C. P. Chain, A. C. Santos, L. G. Castro, and J. W. Prado, Bibliometric analysis of the quantitative methods applied to the measurement of the industrial clusters, Journal of Economic Surveys, vol.33, issue.1, pp.60-84, 2019.

P. P. Combes and H. G. Overman, The spatial distribution of economic activities in the European Union, Handbook of Urban and Regional Economics, vol.4, pp.2845-2909, 2004.

P. P. Combes, T. Mayer, and J. F. Thisse, Economic Geography, The Integration of Regions and Nations, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00311000

P. J. Diggle, Statistical analysis of spatial point patterns, 1983.

, Distance-Based Measures of Spatial Concentration: Introducing a Relative Density Function

P. J. Diggle and A. G. Chetwynd, Second-Order Analysis of Spatial Clustering for Inhomogeneous Populations, Biometrics, vol.47, issue.3, pp.1155-1163, 1991.

J. Dubé and C. Brunelle, Dots to dots: a general methodology to build local indicators using spatial micro-data, The Annals of Regional Science, vol.53, issue.1, pp.245-272, 2014.

G. Duranton, Spatial Economics, The New Palgrave Dictionary of Economics, 2008.

G. Duranton and H. G. Overman, Testing for Localisation Using Micro-Geographic Data, Review of Economic Studies, vol.72, issue.4, pp.1077-1106, 2005.

G. Duranton and H. G. Overman, Exploring the Detailed Location Patterns of UK Manufacturing Industries using Microgeographic Data, Journal of Regional Science, vol.48, issue.1, pp.213-243, 2008.

G. Ellison and E. L. Glaeser, Geographic Concentration in U.S. Manufacturing Industries: A Dartboard Approach, Journal of Political Economy, vol.105, issue.5, pp.889-927, 1997.

G. Ellison, E. L. Glaeser, and W. R. Kerr, What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns, The American Economic Review, vol.100, issue.3, pp.1195-1213, 2010.

P. S. Florence, The Logic of British and American Industry: A Realistic Analysis of Economic Structure and Government, 1972.

C. Gini, Variabilità e mutabilità, vol.3, 1912.

D. Giuliani, G. Arbia, and G. Espa, Weighting Ripley's K-Function to Account for the Firm Dimension in the Analysis of Spatial Concentration, International Regional Science Review, vol.37, issue.3, pp.251-272, 2014.

M. Gómez-antonio and S. Sweeney, Firm location, interaction, and local characteristics: A case study for madrid's electronics sector, Papers in Regional Science, vol.97, issue.3, pp.663-685, 2018.

P. Guimarães, O. Figueiredo, and D. Woodward, Dartboard tests for the location quotient, Regional Science and Urban Economics, vol.39, issue.3, pp.360-364, 2009.

J. V. Henderson and J. F. Thisse, Handbook of Urban and Regional Economics, 2004.

E. Howard, C. Newman, and F. Tarp, Measuring industry coagglomeration and identifying the driving forces, Journal of Economic Geography, vol.16, issue.5, pp.1055-1078, 2016.

J. Illian, A. Penttinen, H. Stoyan, and D. Stoyan, Statistical Analysis and Modelling of Spatial Point Patterns, Statistics in Practice, 2008.

P. Jensen and J. Michel, Measuring spatial dispersion: exact results on the variance of random spatial distributions, The Annals of Regional Science, vol.47, issue.1, pp.81-110, 2011.

W. R. Kerr and S. D. Kominers, Agglomerative Forces and Cluster Shapes, The Review of Economics and Statistics, vol.97, issue.4, pp.877-899, 2015.

H. J. Koh and N. Riedel, Assessing the Localization Pattern of German Manufacturing and Service Industries: A Distancebased Approach, Regional Studies, vol.48, issue.5, pp.823-843, 2014.

P. Krugman, . Geography, R. Trade-;-london-law, J. Illian, D. Burslem et al., Ecological information from spatial patterns of plants: insights from point process theory, Journal of Ecology, vol.97, issue.4, pp.616-628, 1991.

E. Marcon and F. Puech, Evaluating the Geographic Concentration of Industries Using Distance-Based Methods, Journal of Economic Geography, vol.3, issue.4, pp.409-428, 2003.
URL : https://hal.archives-ouvertes.fr/halshs-00372646

E. Marcon and F. Puech, Measures of the Geographic Concentration of Industries: Improving Distance-Based Methods, Journal of Economic Geography, vol.10, issue.5, pp.745-762, 2010.
URL : https://hal.archives-ouvertes.fr/halshs-00372617

E. Marcon and F. Puech, A typology of distance-based measures of spatial concentration, HAL SHS, vol.00679993, 2012.
URL : https://hal.archives-ouvertes.fr/halshs-00679993

E. Marcon and F. Puech, Mesures de la concentration spatiale en espace continu : théorie et applications, Économie et Statistique, vol.474, pp.105-131, 2015.

E. Marcon and F. Puech, A typology of distance-based measures of spatial concentration, Regional Science and Urban Economics, vol.62, pp.56-67, 2017.
URL : https://hal.archives-ouvertes.fr/halshs-00679993

E. Marcon, S. Traissac, F. Puech, and G. Lang, Tools to Characterize Point Patterns: dbmss for R, Journal of Statistical Software, vol.67, issue.3, pp.1-15, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01498361

J. Møller and R. P. Waagepetersen, Statistical Inference and Simulation for Spatial Point Processes, Monographs on Statistics and Applies Probabilities, vol.100, 2004.

T. Mori and T. E. Smith, A probabilistic modeling approach to the detection of industrial agglomerations, Journal of Economic Geography, vol.14, issue.3, pp.547-588, 2013.

K. Nakajima, Y. U. Saito, and I. Uesugi, Measuring economic localization: Evidence from Japanese firm-level data, Journal of the Japanese and International Economies, vol.26, issue.2, pp.201-220, 2012.

B. Ó-huallacháin and T. F. Leslie, Producer Services in the Urban Core and Suburbs of Phoenix, Arizona. Urban Studies, vol.44, issue.8, pp.1581-1601, 2007.

, Distance-Based Measures of Spatial Concentration: Introducing a Relative Density Function

S. Openshaw and P. J. Taylor, A million or so correlation coefficients: three experiments on the modifiable areal unit problem, Wrigley N (ed) Statistical Applications in the Spatial Sciences, pp.127-144, 1979.

J. Pavia, Testing goodness-of-fit with the kernel density estimator: Gofkernel, Journal of Statistical Software, vol.66, issue.1, pp.1-27, 2015.

A. Penttinen, Statistics for Marked Point Patterns, The Yearbook of the Finnish Statistical Society, pp.70-91, 2006.

A. Penttinen, D. Stoyan, and H. M. Henttonen, Marked Point Processes in Forest Statistics, Forest Science, vol.38, issue.4, pp.806-824, 1992.

, R: A Language and Environment for Statistical Computing, R Development Core Team, 2018.

B. D. Ripley, The Second-Order Analysis of Stationary Point Processes, Journal of Applied Probability, vol.13, issue.2, pp.255-266, 1976.

B. D. Ripley, Modelling Spatial Patterns, Journal of the Royal Statistical Society B, vol.39, issue.2, pp.172-212, 1977.

S. S. Rosenthal and W. C. Strange, The Determinants of Agglomeration, Journal of Urban Economics, vol.50, issue.2, pp.191-229, 2001.

B. W. Silverman, Density estimation for statistics and data analysis, 1986.

S. Sweeney and M. Gómez-antonio, Localization and industry clustering econometrics: An assessment of Gibbs models for spatial point processes, Journal of Regional Science, vol.56, issue.2, pp.257-287, 2015.

S. H. Sweeney and E. J. Feser, Plant Size and Clustering of Manufacturing Activity, Geographical Analysis, vol.30, issue.1, pp.45-64, 1998.

L. Waller, Point Process Models and Methods in Spatial Epidemiology, Handbook in Spatial Statistics, CRC Handbooks of Modern Statistical Methods Series, vol.22, pp.403-423, 2010.

T. Zhou and J. M. Clapp, The location of new anchor stores within metropolitan areas, Regional Science and Urban Economics, vol.50, pp.87-107, 2015.