IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

Segregation measures and spatial autocorrelation - Location patterns of immigrant minorities in the Barcelona Region

Listed author(s):
  • Joan Carles Martori


  • Karen Hoberg


  • Jordi Suriñach


Given the important growth of immigrants in Spain it would be interesting to study its distribution throughout the urban area. Statistics suggest different large traditional indices allowing to quantify the segregation of minority population groups. Segregation can be measured from the different points of view and a new segregation perspective can be obtained by the utilisation of innovative indices including spatial statistics elements, as well as local indicators of spatial association (LISA). Through the application of these tools on the Barcelona and its metropolitan region case, its utilities in the analysis of resident segregation in a town are shown and segregation patterns are found out. The results point out that the segregation differs depending on the observed group. The combination of all these measures represents a useful proceeding in the analysis of the distribution of immigrants in the urban zones and its convenience extends to the different areas like sociology, economics, city planning or housing policies.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
Download Restriction: no

Paper provided by European Regional Science Association in its series ERSA conference papers with number ersa05p225.

in new window

Date of creation: Aug 2005
Handle: RePEc:wiw:wiwrsa:ersa05p225
Contact details of provider: Postal:
Welthandelsplatz 1, 1020 Vienna, Austria

Web page:

No references listed on IDEAS
You can help add them by filling out this form.

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:wiw:wiwrsa:ersa05p225. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Gunther Maier)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.