%0 Journal Article
%2 sid.inpe.br/mtc-m21c/2020/09.02.14.54.54
%4 sid.inpe.br/mtc-m21c/2020/09.02.14.54
%3 ferreira_spatiotemporal.pdf
%8 Dec.
%9 journal article
%@issn 2041-1723
%A Ferreira, Leonardo N.,
%A Vega-Oliveros, Didier A.,
%A Cotacallapa, Frank Moshé,
%A Cardoso, Manoel Ferreira,
%A Quile, Marcos G.,
%A Zhao, Liang,
%A Macau, Elbert Einstein Nehrer,
%@secondarytype PRE PI
%B Nature Communications
%D 2020
%N 1
%P e4036
%@secondarymark A1_ZOOTECNIA_/_RECURSOS_PESQUEIROS A1_MEDICINA_VETERINÁRIA A1_CIÊNCIAS_BIOLÓGICAS_II A1_ASTRONOMIA_/_FÍSICA A2_ENGENHARIAS_IV C_CIÊNCIAS_BIOLÓGICAS_I
%T Spatiotemporal data analysis with chronological networks
%V 11
%X The number of spatiotemporal data sets has increased rapidly in the last years, which demands robust and fast methods to extract information from this kind of data. Here, we propose a network-based model, called Chronnet, for spatiotemporal data analysis. The network construction process consists of dividing a geometric space into grid cells represented by nodes connected chronologically. Strong links in the network represent consecutive recurrent events between cells. The chronnet construction process is fast, making the model suitable to process large data sets. Using artificial and real data sets, we show how chronnets can capture data properties beyond simple statistics, like frequent patterns, spatial changes, outliers, and spatiotemporal clusters. Therefore, we conclude that chronnets represent a robust tool for the analysis of spatiotemporal data sets.
%@area COMP
%@electronicmailaddress ferreira@leonardonascimento.com
%@electronicmailaddress
%@electronicmailaddress frank.moshe@inpe.br
%@electronicmailaddress manoel.cardoso@inpe.br
%@electronicmailaddress
%@electronicmailaddress
%@electronicmailaddress elbert.macau@inpe.br
%@documentstage not transferred
%@group CAP-COMP-SESPG-INPE-MCTIC-GOV-BR
%@group
%@group CMS-ETES-SESPG-INPE-MCTIC-GOV-BR
%@group COCST-COCST-INPE-MCTIC-GOV-BR
%@group
%@group
%@group LABAC-COCTE-INPE-MCTIC-GOV-BR
%@dissemination WEBSCI
%@usergroup simone
%@nexthigherunit 8JMKD3MGPCW/3ESGTTP
%@nexthigherunit 8JMKD3MGPCW/3F2PHGS
%@nexthigherunit 8JMKD3MGPCW/3F358GL
%@nexthigherunit 8JMKD3MGPCW/3F3T29H
%@resumeid
%@resumeid
%@resumeid
%@resumeid
%@resumeid
%@resumeid
%@resumeid 8JMKD3MGP5W/3C9JGUT
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Indiana University
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Universidade Federal de São Paulo (UNIFESP)
%@affiliation Universidade de São Paulo (USP)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@versiontype publisher
%@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}
%@doi 10.1038/s41467-020-17634-2