@article{fdi:010066182,
  title = {{G}lobal modeling of aggregated and associated chaotic dynamics},
  author = {{M}angiarotti, {S}ylvain and {L}e {J}ean, {F}. and {H}uc, {M}. and {L}etellier, {C}.},
  editor = {},
  language = {{ENG}},
  abstract = {{S}patially distributed systems are rather difficult to investigate due to two distinct problems which can be sometimes combined. {F}irst, the spatial extension is taken into account by monitoring the system evolution at different locations. {S}econd, the dynamics cannot always be continuously tracked in time, and segments of data - sometimes recorded at different places are only available. {W}hen the dynamics underlying a single marker is under consideration - as for instance the normalized difference vegetation index which can be used for assessing the vegetation canopy of a given area - a global model can be obtained from a single scalar time series built by aggregating the available time series recorded at different places and/or associating the segments of data recorded at different times (and possibly at different locations). {W}e investigated how these two data preprocessing - common in environmental studies - may affect the model dynamics by using a system of spatially distributed {R}ossler systems which are phase synchronized or not.},
  keywords = {{G}lobal modeling ; {S}patially distributed systems ; {D}ata aggregation ; {D}ata association ; {S}patial scale ; {S}patial resolution},
  booktitle = {},
  journal = {{C}haos {S}olitons and {F}ractals},
  volume = {83},
  numero = {},
  pages = {82--96},
  ISSN = {0960-0779},
  year = {2016},
  DOI = {10.1016/j.chaos.2015.11.031},
  URL = {https://www.documentation.ird.fr/hor/fdi:010066182},
}