OasisR: An R Package to Bring Some Order to the World of Segregation Measurement

Interest in social segregation measurement has increased strongly over the years and the number of segregation indices proposed in the literature have become more complex. However there are only a few software applications that can be employed to analyze social segregation, and these are usually ava...

Full description

Bibliographic Details
Main Author: Mihai Tivadar
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2019-05-01
Series:Journal of Statistical Software
Subjects:
r
Online Access:https://www.jstatsoft.org/index.php/jss/article/view/2775
id doaj-7875a00ded7e4af4acc1abb318916ae2
record_format Article
spelling doaj-7875a00ded7e4af4acc1abb318916ae22020-11-25T02:56:00ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602019-05-0189113910.18637/jss.v089.i071294OasisR: An R Package to Bring Some Order to the World of Segregation MeasurementMihai TivadarInterest in social segregation measurement has increased strongly over the years and the number of segregation indices proposed in the literature have become more complex. However there are only a few software applications that can be employed to analyze social segregation, and these are usually available as a plug-in/package in geographic information system (GIS) software or as limited stand-alone application. Thus, the development of a package which exploits the power and versatility of the R environment for statistical computing and graphics would be desirable. Also, analysis of the segregation indices shows that there are ambiguities and errors in the literature, and consequently in the available software applications. This is an even more important reason why we need to develop a new tool to bring some order to the world of segregation measurement. This paper contributes also by proposing an automatic statistical testing methodology for these indices, using several resampling techniques: randomization tests, bootstrap and jackknife.https://www.jstatsoft.org/index.php/jss/article/view/2775segregation indicesspatial segregationsocial segregationresampling testsr
collection DOAJ
language English
format Article
sources DOAJ
author Mihai Tivadar
spellingShingle Mihai Tivadar
OasisR: An R Package to Bring Some Order to the World of Segregation Measurement
Journal of Statistical Software
segregation indices
spatial segregation
social segregation
resampling tests
r
author_facet Mihai Tivadar
author_sort Mihai Tivadar
title OasisR: An R Package to Bring Some Order to the World of Segregation Measurement
title_short OasisR: An R Package to Bring Some Order to the World of Segregation Measurement
title_full OasisR: An R Package to Bring Some Order to the World of Segregation Measurement
title_fullStr OasisR: An R Package to Bring Some Order to the World of Segregation Measurement
title_full_unstemmed OasisR: An R Package to Bring Some Order to the World of Segregation Measurement
title_sort oasisr: an r package to bring some order to the world of segregation measurement
publisher Foundation for Open Access Statistics
series Journal of Statistical Software
issn 1548-7660
publishDate 2019-05-01
description Interest in social segregation measurement has increased strongly over the years and the number of segregation indices proposed in the literature have become more complex. However there are only a few software applications that can be employed to analyze social segregation, and these are usually available as a plug-in/package in geographic information system (GIS) software or as limited stand-alone application. Thus, the development of a package which exploits the power and versatility of the R environment for statistical computing and graphics would be desirable. Also, analysis of the segregation indices shows that there are ambiguities and errors in the literature, and consequently in the available software applications. This is an even more important reason why we need to develop a new tool to bring some order to the world of segregation measurement. This paper contributes also by proposing an automatic statistical testing methodology for these indices, using several resampling techniques: randomization tests, bootstrap and jackknife.
topic segregation indices
spatial segregation
social segregation
resampling tests
r
url https://www.jstatsoft.org/index.php/jss/article/view/2775
work_keys_str_mv AT mihaitivadar oasisranrpackagetobringsomeordertotheworldofsegregationmeasurement
_version_ 1724714800572792832