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

R. Zurita-Milla; X. Wu; M.J. Kraak

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

R. Zurita-Milla
, X. Wu
, M.J. Kraak

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Original language	English
Title of host publication	Proceedings of the 13th international conference on GeoComputation geospatial information sciences, 20-23 May 2015, Richardson TX, United States of America
Number of pages	5
Publication status	Published - 21 May 2015
Event	The 13th international conference on GeoComputation geospatial information sciences - Richardson, United States Duration: 20 May 2015 → 23 May 2015

Conference

Conference	The 13th international conference on GeoComputation geospatial information sciences
Country/Territory	United States
City	Richardson
Period	20/05/15 → 23/05/15

Keywords

METIS-311637

Access to Document

http://www.geocomputation.org/2015/papers/GC15_18.pdf

Cite this

@inproceedings{7c020dbdde184a53acaaa51735c89eca,

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

keywords = "METIS-311637",

author = "R. Zurita-Milla and X. Wu and M.J. Kraak",

year = "2015",

month = may,

day = "21",

language = "English",

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

note = "The 13th international conference on GeoComputation geospatial information sciences ; Conference date: 20-05-2015 Through 23-05-2015",

}

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. The 13th international conference on GeoComputation geospatial information sciences, Richardson, Texas, United States, 20/05/15. <http://www.geocomputation.org/2015/papers/GC15_18.pdf>

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 proceeding › Conference contribution › Academic › peer-review

TY - GEN

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

T2 - The 13th international conference on GeoComputation geospatial information sciences

Y2 - 20 May 2015 through 23 May 2015

ER -

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

Conference

Keywords

Access to Document

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Cite this