Using co-clustering to analyze spatio-temporal patterns : a case study based on spring phenology

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Original languageEnglish
Title of host publicationProceedings of the 13th international conference on GeoComputation geospatial information sciences, 20-23 May 2015, Richardson TX, United States of America
Number of pages5
Publication statusPublished - 21 May 2015

Keywords

  • METIS-311637

Cite this

Zurita-Milla, R., Wu, X., & Kraak, M. J. (2015). Using co-clustering to analyze spatio-temporal patterns : a case study based on spring phenology. In Proceedings of the 13th international conference on GeoComputation geospatial information sciences, 20-23 May 2015, Richardson TX, United States of America
Zurita-Milla, R. ; Wu, X. ; Kraak, M.J. / Using co-clustering to analyze spatio-temporal patterns : a case study based on spring phenology. Proceedings of the 13th international conference on GeoComputation geospatial information sciences, 20-23 May 2015, Richardson TX, United States of America. 2015.
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title = "Using co-clustering to analyze spatio-temporal patterns : a case study based on spring phenology",
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author = "R. Zurita-Milla and X. Wu and M.J. Kraak",
year = "2015",
month = "5",
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language = "English",
booktitle = "Proceedings of the 13th international conference on GeoComputation geospatial information sciences, 20-23 May 2015, Richardson TX, United States of America",

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Zurita-Milla, R, Wu, X & Kraak, MJ 2015, Using co-clustering to analyze spatio-temporal patterns : a case study based on spring phenology. in Proceedings of the 13th international conference on GeoComputation geospatial information sciences, 20-23 May 2015, Richardson TX, United States of America.

Using co-clustering to analyze spatio-temporal patterns : a case study based on spring phenology. / Zurita-Milla, R.; Wu, X.; Kraak, M.J.

Proceedings of the 13th international conference on GeoComputation geospatial information sciences, 20-23 May 2015, Richardson TX, United States of America. 2015.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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T1 - Using co-clustering to analyze spatio-temporal patterns : a case study based on spring phenology

AU - Zurita-Milla, R.

AU - Wu, X.

AU - Kraak, M.J.

PY - 2015/5/21

Y1 - 2015/5/21

KW - METIS-311637

UR - https://ezproxy2.utwente.nl/login?url=https://webapps.itc.utwente.nl/library/2015/conf/zuritamilla_usi.pdf

M3 - Conference contribution

BT - Proceedings of the 13th international conference on GeoComputation geospatial information sciences, 20-23 May 2015, Richardson TX, United States of America

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Zurita-Milla R, Wu X, Kraak MJ. Using co-clustering to analyze spatio-temporal patterns : a case study based on spring phenology. In Proceedings of the 13th international conference on GeoComputation geospatial information sciences, 20-23 May 2015, Richardson TX, United States of America. 2015