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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m16c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGPDW34P/43PLD9E
Repositorysid.inpe.br/mtc-m16c/2020/12.14.12.11
Last Update2020:12.14.12.11.01 (UTC) banon
Metadata Repositorysid.inpe.br/mtc-m16c/2020/12.14.12.11.01
Metadata Last Update2023:01.30.13.08.23 (UTC) administrator
ISSN2179-4847
Citation KeyMaiaCamp:2020:PyLiAn
TitleMobipy - A Python Library for Analyzing Mobility Patterns
FormatOn-line
Year2020
Access Date2024, May 08
Secondary TypePRE CN
Number of Files1
Size588 KiB
2. Context
Author1 Maia, Pedro Henrique Costa
2 Campelo, Claudio E. C.
Affiliation1 Universidade Federal de Campina Grande (UFCG)
2 Universidade Federal de Campina Grande (UFCG)
Author e-Mail Address1 pedro.maia@ccc.ufcg.edu.br
2 campelo@dsc.ufcg.edu.br
EditorCarneiro, Tiago Garcia de Senna (UFOP)
Felgueiras, Carlos Alberto (INPE)
e-Mail Addresslubia@dpi.inpe.br
Conference NameSimpósio Brasileiro de Geoinformática, 21 (GEOINFO)
Conference LocationOn-line
Date30 nov. a 03 dez. 2020
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages142-152
Book TitleAnais
Tertiary TypeFull Paper
History (UTC)2020-12-14 12:11:01 :: lubia@dpi.inpe.br -> administrator ::
2021-01-04 22:29:48 :: administrator -> simone :: 2020
2021-01-05 19:37:32 :: simone -> administrator :: 2020
2021-02-13 03:02:48 :: administrator -> banon :: 2020
2021-02-13 03:18:30 :: banon -> administrator :: 2020
2023-01-30 13:08:23 :: administrator -> banon :: 2020
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
AbstractWith the increase in the availability of georeferenced databases, in- terest in analyzing them in research that requires an understanding of peoples mobility patterns, especially in urban centers, has increased. Given this range of applications, several metrics have been proposed in the literature to infer patterns of peoples movement, however, they are often not available for use in other studies. In this article, we introduce Mobipy, a Python library that brings together metrics and functions frequently used to calculate peoples mobility patterns. It was developed with a focus on usability and compatibility with multiple datasets, facilitating research and data analysis tasks. We hope that Mobipy will provide researchers with new possibilities, enriching their analysis and generating new knowledge.
AreaSRE
TypeDados espaço-temporais
Arrangement 1urlib.net > BDMCI > Fonds > GEOINFO > XXI GEOINFO > Mobipy - A...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > XXI GEOINFO > Mobipy - A...
Arrangement 3urlib.net > BDMCI > Fonds > GEOINFO > Coleção GEOINFO > Mobipy - A...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPDW34P/43PLD9E
zipped data URLhttp://urlib.net/zip/8JMKD3MGPDW34P/43PLD9E
Languageen
Target Filep12.pdf
User Grouplubia@dpi.inpe.br
Reader Groupadministrator
banon
simone
Visibilityshown
Copyright Licenseurlib.net/www/2012/11.12.15.19
Rightsholderoriginalauthor yes
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPDW34P/43PRNME
8JMKD3MGPDW34P/48F29JE
Citing Item Listsid.inpe.br/mtc-m16c/2020/12.15.17.26 1
sid.inpe.br/mtc-m16c/2023/01.30.13.05 1
Host Collectionsid.inpe.br/mtc-m18@80/2008/03.17.15.17
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber contenttype copyholder creatorhistory descriptionlevel dissemination doi edition group isbn keywords label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization parameterlist parentrepositories previousedition previouslowerunit progress project readpermission resumeid schedulinginformation secondarydate secondarykey secondarymark serieseditor shorttitle sponsor tertiarymark url versiontype volume
7. Description control
e-Mail (login)banon
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