Borruso Iccsa 2008

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"Geographical Analysis of Foreign Immigration and Spatial Patterns in Urban Areas. Density Estimation and Spatial Segregation" Third International Workshop on "Geographical Analysis, Urban Modeling, Spatial Statistics"

Technology Business

Geographical Analysis of Foreign Immigration and Spatial Patterns in Urban Areas. Density Estimation and Spatial Segregation Dr. Giuseppe Borruso Department of Geographical and Historical Sciences University of Trieste Email. [email_address] Ph. +39 040 558 7008 Fax. +39 040 558 7009 / 7005 GeogAnMod ‘08 The International Conference on Computer Science and its Applications ICCSA 2008 Perugia 30 June – 03 July 2008

Abstract ,[object Object],[object Object],[object Object],[object Object]

Topics ,[object Object],[object Object],[object Object],[object Object],[object Object]

Qualitative and quantitative methods for the analysis of immigrants at urban level ,[object Object],[object Object],[object Object],[object Object],[object Object]

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Measures of segregation Segregation Index (Duncan & Duncan, 1955) Location Quotient (Cristaldi, 2002)

Segregation index ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],a) b)

Location Quotient ,[object Object],[object Object],[object Object]

Segregation index S (O’ Sullivan e Wong, 2007) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

The spatial distribution of migrant population in Trieste ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Zoning systems in a Municipality New districts Old districts Census blocks

The study region ,[object Object],[object Object],[object Object]

Indices of spatial distribution of population ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Indices of spatial distribution of population ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Segregation index census blocks a); urban districts b) a) b)

a) Albania b) China c) Romania d) Senegal Location Quotient for selected ethinc groups

Kernel Density Estimator ,[object Object],[object Object],[object Object],[object Object]

a) Albania b) China c) Romania d) Senegal KDE On selected ethnic groups

Segregation index S (O’ Sullivan e Wong, 2007) 73,13 43,84 73,13 50,15 900 72,94 49,46 74,39 54,56 600 76,60 54,83 77,12 58,31 450 81,46 62,53 80,31 64,14 300 81,38 77,43 86,83 75,66 150 Senegal Romania Cina Albania Kernel Bandwidth (m)

KDE Max-min (bandwidth = 300m) a) Albania b) China c) Romania d) Senegal

Diversity index (IDiv) ,[object Object],[object Object],[object Object],[object Object]

Superficie di densità della popolazione residente

IDiv + KDE on residential population ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Conclusions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

NACIS 2016 Presentation Luc Guillemot, UC Berkeley David O'Sullivan, UC Berkeley How can colors be used to unravel spatiotemporal patterns in a multivariate geographical space? Perceptually consistent color spaces such as L*a*b* or L*c*h* are well defined, but their use in qualitative cartography is still relatively rare. Furthermore, qualitative color palettes are often randomly selected and do not relate the distance between colors to degrees of difference between categories depicted on the map. This study presents a tool allowing to select colors and automatically connect them to a multivariate space. It is applied to a geodemographic map of the San Francisco Bay Area where colors for 15 clusters can be algorithmically selected to reflect similarities between clusters in the attribute space or to maximize contrast between spatially contiguous clusters. This study shows that careful consideration of a color palette and its relation to the mapped data space can assist in the visualization of complex spatiotemporal patterns.

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Recent research on residential segregation has focused on defining trends in areas outside of traditional metropolitan areas, including so-called new destinations and established immigrant gateways. Moreover a trend of decreasing black-white segregation between 1970 and 2009 has been described by recent work by Iceland and colleagues. In this paper, we go beyond the approach used in this recent work to investigate the county-level patterns of change in residential segregation between 1990 and 2010 using the most recent decennial census data available. We consider both black-white and Hispanic-Non-Hispanic patterns of segregation using measures of three dimensions of segregation: Evenness, Exposure and spatial clustering. Furthermore, we use tools of exploratory spatial data analysis and Geographic Information System (GIS) visualization to highlight areas of the country experiencing the most change over this period. This will allow us to see sub-regional trends in the dynamics of segregation, and understand the nature of segregation beyond the traditional black-white dichotomy, especially in areas of recent Hispanic immigration.

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Fino alla fine degli anni '80 un urbanista che cercava di supportare dei ragionamenti di piano con l'informatica riusciva ad ottenere, nel migliore dei casi, qualche dato statistico sulla popolazione. Con il trascorrere degli anni si è assistito ad un incremento dell'utilizzo delle tecnologie per la costruzione dei quadri conoscitivi a supporto del processo di piano, fino a raggiungere l'attuale Information Explosion Era. Il contenuto dell'intervento si baserà su aspetti teorici ed applicativi a partire dall'esperienza di Ian McHarg fino all'ultima "moda" delle Smart Cities. Introduzione Andreina Maahsen-Milan Università di Bologna Tecnologie, Territorio, Smartness Beniamino Murgante Università della Basilicata Facoltà Ingegneria Edile di Ravenna - Università di Bologna Via Tombesi dall'Ova 55, 48121 Ravenna

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Borruso Iccsa 2008

1. Geographical Analysis of Foreign Immigration and Spatial Patterns in Urban Areas. Density Estimation and Spatial Segregation Dr. Giuseppe Borruso Department of Geographical and Historical Sciences University of Trieste Email. [email_address] Ph. +39 040 558 7008 Fax. +39 040 558 7009 / 7005 GeogAnMod ‘08 The International Conference on Computer Science and its Applications ICCSA 2008 Perugia 30 June – 03 July 2008

10.

11.

12. Zoning systems in a Municipality New districts Old districts Census blocks

13.

14.

15.

16. Segregation index census blocks a); urban districts b) a) b)

17. a) Albania b) China c) Romania d) Senegal Location Quotient for selected ethinc groups

18.

19. a) Albania b) China c) Romania d) Senegal KDE On selected ethnic groups

20. Segregation index S (O’ Sullivan e Wong, 2007) 73,13 43,84 73,13 50,15 900 72,94 49,46 74,39 54,56 600 76,60 54,83 77,12 58,31 450 81,46 62,53 80,31 64,14 300 81,38 77,43 86,83 75,66 150 Senegal Romania Cina Albania Kernel Bandwidth (m)

21. KDE Max-min (bandwidth = 300m) a) Albania b) China c) Romania d) Senegal

22.

23.

24. Superficie di densità della popolazione residente

25.

26.

Borruso Iccsa 2008

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