Geospatial data mining in volunteer data : how natural conditions might increase the risk of tick bites and Lyme disease?

I. Garcia-Marti, R. Zurita-Milla, S. Bennema, M. Harms, C.C. van den Wijngaard, A. Swart, A.J.H. van Vliet

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
Pages1-5
Number of pages5
Publication statusPublished - 21 May 2015

Keywords

  • METIS-311639

Cite this

Garcia-Marti, I., Zurita-Milla, R., Bennema, S., Harms, M., van den Wijngaard, C. C., Swart, A., & van Vliet, A. J. H. (2015). Geospatial data mining in volunteer data : how natural conditions might increase the risk of tick bites and Lyme disease? In Proceedings of the 13th international conference on GeoComputation geospatial information sciences (pp. 1-5)
Garcia-Marti, I. ; Zurita-Milla, R. ; Bennema, S. ; Harms, M. ; van den Wijngaard, C.C. ; Swart, A. ; van Vliet, A.J.H. / Geospatial data mining in volunteer data : how natural conditions might increase the risk of tick bites and Lyme disease?. Proceedings of the 13th international conference on GeoComputation geospatial information sciences. 2015. pp. 1-5
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title = "Geospatial data mining in volunteer data : how natural conditions might increase the risk of tick bites and Lyme disease?",
keywords = "METIS-311639",
author = "I. Garcia-Marti and R. Zurita-Milla and S. Bennema and M. Harms and {van den Wijngaard}, C.C. and A. Swart and {van Vliet}, A.J.H.",
year = "2015",
month = "5",
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language = "English",
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booktitle = "Proceedings of the 13th international conference on GeoComputation geospatial information sciences",

}

Garcia-Marti, I, Zurita-Milla, R, Bennema, S, Harms, M, van den Wijngaard, CC, Swart, A & van Vliet, AJH 2015, Geospatial data mining in volunteer data : how natural conditions might increase the risk of tick bites and Lyme disease? in Proceedings of the 13th international conference on GeoComputation geospatial information sciences. pp. 1-5.

Geospatial data mining in volunteer data : how natural conditions might increase the risk of tick bites and Lyme disease? / Garcia-Marti, I.; Zurita-Milla, R.; Bennema, S.; Harms, M.; van den Wijngaard, C.C.; Swart, A.; van Vliet, A.J.H.

Proceedings of the 13th international conference on GeoComputation geospatial information sciences. 2015. p. 1-5.

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

TY - GEN

T1 - Geospatial data mining in volunteer data : how natural conditions might increase the risk of tick bites and Lyme disease?

AU - Garcia-Marti, I.

AU - Zurita-Milla, R.

AU - Bennema, S.

AU - Harms, M.

AU - van den Wijngaard, C.C.

AU - Swart, A.

AU - van Vliet, A.J.H.

PY - 2015/5/21

Y1 - 2015/5/21

KW - METIS-311639

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

M3 - Conference contribution

SP - 1

EP - 5

BT - Proceedings of the 13th international conference on GeoComputation geospatial information sciences

ER -

Garcia-Marti I, Zurita-Milla R, Bennema S, Harms M, van den Wijngaard CC, Swart A et al. Geospatial data mining in volunteer data : how natural conditions might increase the risk of tick bites and Lyme disease? In Proceedings of the 13th international conference on GeoComputation geospatial information sciences. 2015. p. 1-5