Otwarty dostęp

Looking for a New Approach to Measuring the Spatial Concentration of the Human Population


Zacytuj

Alleva, G. 1987. “Autocorrelazione spaziale nel caso di contiguità di ordine superiore al primo.” In Proceedings of the Italian Statistical Society Conference “Informazione ed analisi statistica per aree regionali e sub regionali”, Galeno Editrice, Perugia, Italia: 1–10. Search in Google Scholar

Anselin, L. 1999. “The Future of Spatial Analysis in the Social Sciences.” Geographic Information Sciences 5(2): 67–76. DOI: https://doi.org/10.1080/10824009909480516. Search in Google Scholar

Arbia, G. 2001. “The role of spatial effects in the empirical analysis of regional concentration.” Journal of Geographical Systems 3(3): 271–281. DOI: https://doi.org/10.1007/PL00011480. Search in Google Scholar

Arbia, G., R. Benedetti, and G. Espa. 1996. “Effect of MAUP on image classification.” Geographical System 3: 123–141. Search in Google Scholar

Arbia, G., and G. Piras. 2009. “A new class of spatial concentration measures.” Computational Statistics and Data Analysis 53(21): 4471–4481. DOI: https://doi.org/10.1016/j.csda.2009.07.003. Search in Google Scholar

Benassi, F., F. Lipizzi, and S. Strozza. 2019. “Detecting foreigners’ spatial residential patterns in urban contexts: two tales from Italy.” Applied Spatial Analysis and Policy 12(2): 301–319. DOI: https://doi.org/10.1007/s12061-017-9243-5. Search in Google Scholar

Benassi, F., R. Iglesias-Pascual, and L. Salvati. 2020. “Residential segregation and social diversification: Exploring spatial settlement patterns of foreign population in Southern European cities.” Habitat International 101:102200. DOI: https://doi.org/10.1016/j.habitatint.2020.102200. Search in Google Scholar

Bonferroni, C.E. 1938. Elementi di Statistica Generale. Litografai Feilice Gili: Torino. Search in Google Scholar

Brown, L.A., and S.Y. Chung. 2006. “Spatial segregation, segregation indices and the geographical perspectives.” Population, Space and Place 12(2): 125–143. DOI: https://doi.org/10.1002/psp.403. Search in Google Scholar

Crespo, R., and I. Hernandez. 2020. “On the spatially explicit Gini coefficient: The case study of Chile – a high-income developing country.” Letters in Spatial and Resource Sciences 13(1): 37–47. DOI: https://doi.org/10.1007/s12076-020-00243-4. Search in Google Scholar

Dawkins, C.J. 2004. “Measuring the spatial pattern of residential segregation.” Urban Studies 41(4): 833–851. DOI: https://doi.org/10.1080/0042098042000194. Search in Google Scholar

Dawkins, C.J. 2006. “The spatial pattern of black-white segregation in US metropolitan areas: An exploratory analysis.” Urban Studies 43(11): 1943–1969. DOI: https://doi.org/10.1080/00420980600897792. Search in Google Scholar

Eurostat. 2015. Geospatial analysis at Eurostat. Available at: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Geospatial_analysis_at_Eurostat#Spatial_analysis_for_statistical_purposes. Search in Google Scholar

Fotheringham A.S. 1997. “Trends in Quantitative Methods I: Stressing the Local.” Progress in Human Geography 21(1): 88–96. DOI: https://doi.org/10.1191/030913297676693207. Search in Google Scholar

Frosini, B.V. 1996. “Recenti contributi Italiani alla statistica descrittiva.” Statistica Applicata 8(2): 361–396. Search in Google Scholar

Gini, C. 1912. “Variabilità e mutabilità. Contributo allo studio delle distribuzioni e delle relazioni statistiche.” Studi economico-giuridici, Anno III, parte II. Facoltà di giurisprudenza della Regia Università di Cagliari, Cuppini, Bologna. Search in Google Scholar

Gini, C. 1914. “Sulla misura della concentrazione della variabilità dei caratteri.” Atti del reale istituto Veneto di scienze, lettere e arti 73(2): 1203–1248. Search in Google Scholar

Gini, C. 1921. “Measurement of inequality of incomes.” Economic Journal 31: 124–126. DOI: https://doi.org/10.2307/2223319. Search in Google Scholar

Gini, C. 2005. “On the measurement of concentration and variability of characters.” Metron 63(1): 3–38. Available at: https://www.dss.uniroma1.it/RePec/mtn/articoli/2005-1-1.pdf. Search in Google Scholar

Harris, C.R., K.J. Millman, S.J. van der Walt. R. Gommers, P. Virtanen, David Cournapeau, E. Wieser, J. Taylor, S. Berg, N.J. Smith, R. Kern, M. Picus, S. Hoyer, M.H. van Kerkwijk, M. Brett, A. Haldane, J. Fernández del Río, M. Wiebe, P. Peterson, P. Gérard-Marchant, K. Sheppard, T. Reddy, W. Weckesser, H. Abbasi, C. Gohlke, and T.E. Oliphan. 2020. “Array programming with NumPy.” Nature 585: 357–362. DOI: https://doi.org/10.1038/s41586-020-2649-2. Search in Google Scholar

Hoover, E. 1941. “Interstate redistribution of population, 1850–1940.” Journal of Economic History 1: 199–205. DOI: https://doi.org/10.1017/S0022050700052980. Search in Google Scholar

Howell, F.M., J.R. Porter, and S.A. Matthews. 2016. Recapturing space: New middle-range theory in spatial demography. Berlin: Springer. DOI: https://doi.org/10.1007/978-3-319-22810-5. Search in Google Scholar

Livi Bacci, M. 1999. The Population of Europe: A History. Oxford: Blackwell Search in Google Scholar

Leti G. 1983 Statistica descrittiva, Bologna: Il Mulino. Search in Google Scholar

Logan J.R. 2012. “Making a Place for Space: Spatial Thinking in Social Science.” Annual Review of Sociology 38: 507–524. DOI: https://doi.org/10.1146/annurev-soc-071811-145531. Search in Google Scholar

Lorenz, M.O. 1905. “Methods of measuring the concentration of wealth.” Publications of the American Statistical Association 9(70): 209–219. DOI: https://doi.org/10.2307/2276207. Search in Google Scholar

Matthews, S.A., and D.M. Parker. 2013. “Progress in spatial demography.” Demographic Research 28: 271–312. DOI: https://doi.org/10.4054/DemRes.2013.28.10. Search in Google Scholar

Massey, D.S., and N.A. Denton. 1988. “The dimensions of residential segregation.” Social forces 67(2): 281–315. DOI: https://doi.org/10.1093/sf/67.2.281. Search in Google Scholar

Miller, H.J. 2004. “Tobler’s first law and spatial analysis.” Annals of the association of American geographers 94(2): 284–289. DOI: https://doi.org/10.1111/j.1467-8306.2004.09402005.x. Search in Google Scholar

Mucciardi, M. (2008a). “Use of a flexible weight matrix in a local spatial statistic.” In: First joint meeting of the Société Francophone de Classification and the Classification and Data Analysis Group of the Italian Society of Statistics. 5: 385–388. Naples: Edizioni Scientifiche Italiane. DOI: https://doi.org/10.1007/978-3-642-13312-1. Search in Google Scholar

Mucciardi, M. (2008b). “Geographic information and global index of spatial variability.” Proceedings of the VI International Conference on Stochastics Geometry, Convex Bodies, Empirical Measures. In Rendiconti del Circolo dei Matematici di Palermo 80: 241–250. Search in Google Scholar

Mucciardi, M., and F. Benassi. 2023. “Measuring the spatial concentration of population. A new approach based on the graphical representation of the Gini index.” Quality and Quantity. DOI: https://doi.org/10.1007/s11135-022-01607-2. Search in Google Scholar

Mucciardi, M., and P. Bertuccelli. 2007. “S-Joint: a new software for the analysis of spatial data”. In Proceedings of the Italian Statistical Society Annual Conference, Venice, 6–8 June: 647–648. Available at: http://sis2007.unive.it/. Search in Google Scholar

Novelli, E. and S. Ocelli. 1999. “Describing spatial patterns’ profile: diversification measure.” European Journal of Geography. DOI: https://doi.org/10.4000/cybergeo.4930. Search in Google Scholar

Panzera, D., and P. Postiglione. 2020. “Measuring the spatial dimension of regional inequality: An approach based on the Gini correlation measure.” Social Indicators Research 148(2): 379–394. DOI: https://doi.org/10.1007/s11205-019-02208-7. Search in Google Scholar

Pearl, R., and L.J. Reed. 1920. “On the rate of growth of the population of the USA since 1970 and its mathematical representation.” Proceedings of the National Academy of Science 6: 275-288. DOI: https://doi.org/10.1073/pnas.6.6.275. Search in Google Scholar

Pirrotta, G. 2022. The Spatial Gini Index, a Python library to compute a new indicator to measure the spatial concentration. Available at: https://github.com/gpirrotta/spatial-gini-index. Search in Google Scholar

Reardon, S.F., and D. O’Sullivan. 2004. “Measures of spatial segregation.” Sociological Methodology 34(1): 121–162. DOI: https://doi.org/10.1111/j.0081-1750.2004.00150.x. Search in Google Scholar

Rey, S.J., and L. Anselin. 2010. “PySAL: A Python Library of Spatial Analytical Methods.” In Handbook of Applied Spatial Analysis, edited by M. Fischer, and A. Getis. Springer, Berlin, Heidelberg. DOI: https://doi.org/10.1007/978-3-642-03647-7_11. Search in Google Scholar

Rey, S.J., and R.J. Smith. 2013. “A spatial decomposition of the Gini coefficient.” Letters in Spatial and Resource Sciences 6(2): 55–70. DOI: https://doi.org/10.1007/s12076-012-0086-z. Search in Google Scholar

Strozza, S., F. Benassi, R. Ferrara, and G. Gallo. 2016. “Recent demographic trends in the major Italian urban agglomerations: The role of foreigners.” Spatial Demography 4(1): 39–70. DOI: https://doi.org/10.1007/s40980-015-0012-2. Search in Google Scholar

Tobler, W.R. 1970. “A computer movie simulating urban growth in the Detroit region.” Economic Geography 46: 234–240. DOI: https://doi.org/10.2307/143141. Search in Google Scholar

Verhulst, P.F. 1838. “Notice sur la loi que la population poursuit dans accroissement.” Correspondance Mathématique et Physique 10: 113-121. Search in Google Scholar

Voss, P.R. 2007. “Demography as a spatial social science.” Population research and policy review 26(5): 457–476. DOI: https://doi.org/10.1007/s11113-007-9047-4 Search in Google Scholar

Wright, J.K. 1937. “Some measures of distributions.” Annals of the Association of American Geographers 27(4): 177–211. Search in Google Scholar

Virtanen, P., R. Gommers, T.E. Oliphant, M. Haberland, T. Reddy, D. Cournapeau, E. Burovski, P. Peterson, W. Weckesser, J. Bright, S.J. van der Walt, M. Brett, J. Wilson, K.J. Millman, N. Mayorov, A.R.J. Nelson, E. Jones, R. Kern, E. Larson, C.J. Carey, I˙. Polat, Y. Feng, E.W. Moore, and J. VanderPlas. 2020. “SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python.” Nature Methods, 17: 261–272. DOI: https://doi.org/10.1038/s41592-019-0686-2. Search in Google Scholar

Zenga, M. 1984. “Proposta per un indice di concentrazione basato sui rapporti fra quantili di popolazione e quantili di reddito.” Giornale degli Economisti e Annali di Economia 43(5/6): 301–326. Available at: http://www.jstor.org/stable/23246074. Search in Google Scholar

Zenga, M. 1985. “Un secondo indice di concentrazione basato sui rapporti fra quantili di popolazione e quantili di reddito.” Rivista di Statistica Applicata 18: 143–154. Search in Google Scholar

eISSN:
2001-7367
Język:
Angielski
Częstotliwość wydawania:
4 razy w roku
Dziedziny czasopisma:
Mathematics, Probability and Statistics