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...
Main Author: | |
---|---|
Format: | Article |
Language: | English |
Published: |
Foundation for Open Access Statistics
2019-05-01
|
Series: | Journal of Statistical Software |
Subjects: | |
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 |