A. Baddeley, J. Møller, and R. Waagepetersen, Non-And Semi-Parametric Estimation of Interaction in Inhomogeneous Point Patterns, Statistica Neerlandica, vol.54, issue.3, pp.329-350, 2000.

A. 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.

J. Besag, Comments on Ripley's Paper, Journal of the Royal Statistical Society B, vol.39, issue.2, pp.193-195, 1977.

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 of Micro-Geographic Data, Spatial Economic Analysis, vol.10, issue.3, pp.289-316, 2015.
URL : https://hal.archives-ouvertes.fr/hal-00874201

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

P. P. Combes and H. Overman, The Spatial Distribution of Economic Activities in the European Union, Handbook of Urban and Regional Economics, vol.4, pp.2845-2909, 2004.

P. Diggle, Statistical Analysis of Spatial Point Patterns, 1983.

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

R. Duncan, Competition and the Coexistence of Species in a Mixed Podocarp Stand, Journal of Ecology, vol.79, issue.4, pp.1073-1084, 1991.

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

G. Duranton and H. 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.

D. Eddelbuettel and R. François, Rcpp: Seamless R and C++ Integration, Journal of Statistical Software, vol.40, issue.8, pp.1-18, 2011.

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

M. J. Fortin and M. Dale, Spatial Analysis. A Guide for Ecologists, 2005.
URL : https://hal.archives-ouvertes.fr/hal-02296985

C. Gini, of Studi Economico-Giuridici dell, vol.3, 1912.

F. Goreaud and R. Pélissier, Avoiding Misinterpretation of Biotic Interactions with the Intertype K 12 -Function: Population Independence vs. Random Labelling Hypotheses, Journal of Vegetation Science, vol.14, issue.5, pp.681-692, 2003.
URL : https://hal.archives-ouvertes.fr/hal-02583106

S. Gourlet-fleury, J. Guehl, and O. Laroussinie, Ecology & Management of a Neotropical Rainforest. Lessons Drawn from Paracou, a Long-Term Experimental Research Site in French Guiana, 2004.

P. Haase, F. Pugnaire, S. Clark, and L. Incoll, Spatial Pattern in Anthyllis Cytisoides Shrubland on Abandoned Land in Southeastern Spain, Journal of Vegetation Science, vol.8, issue.5, pp.627-634, 1997.

E. Hoover, The Measurement of Industrial Localization, The Review of Economics and Statistics, vol.18, issue.4, pp.162-171, 1936.

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

N. Kenkel, Pattern of Self-Thinning in Jack Pine: Testing the Random Mortality Hypothesis, Ecology, vol.69, issue.4, pp.1017-1024, 1988.

G. Lang and E. Marcon, Testing Randomness of Spatial Point Patterns with the Ripley Statistic, ESAIM: Probability and Statistics, vol.17, pp.767-788, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01502640

N. Loosmore and E. Ford, Statistical Inference Using the G or K Point Pattern Spatial Statistics, Ecology, vol.87, issue.8, pp.1925-1931, 2006.

E. Marcon, G. Lang, S. Traissac, and F. Puech, dbmss: Distance-Based Measures of Spatial Structures, 2015.

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, 2014.
URL : https://hal.archives-ouvertes.fr/halshs-00679993

E. Marcon, F. Puech, and S. Traissac, Characterizing the Relative Spatial Structure of Point Patterns, International Journal of Ecology, pp.1-11, 2012.
URL : https://hal.archives-ouvertes.fr/hal-01502623

E. Marcon, S. Traissac, and G. Lang, A Statistical Test for Ripley's Function Rejection of Poisson Null Hypothesis, ISRN Ecology, pp.1-9, 2013.

S. Openshaw and P. Taylor, A Million or so Correlation Coefficients: Three Experiments on the Modifiable Areal Unit Problem, Statistical Applications in the Spatial Sciences, pp.127-144, 1979.

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

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

G. Picone, D. Ridley, and P. Zandbergen, Distance Decreases with Differentiation: Strategic Agglomeration by Retailers, International Journal of Industrial Organization, vol.27, issue.3, pp.463-473, 2009.

. R-core-team, R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, 2015.

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

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

B. Ripley, Statistical Inference for Spatial Processes, 1988.

T. Scholl and T. Brenner, Optimizing Distance-Based Methods for Big Data Analysis, 2013.