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| DOI: | 10.1177/1754337119901090 |
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| Web URL(s): | https://journals.sagepub.com/doi/pdf/10.1177/1754337119901090
Last checked: 03/15/2021
Requires: PDF Reader
Access conditions: Item is within a limited-access website |
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| Publication Type:
| Report |
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| Author(s): | Straw, Chase M.;
Principe, Francesca M.;
Kurtz, Emily L.;
Wiese-Bjornstal, Diane M.;
Horgan, Brian P. |
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| Author Affiliation: | Straw and Horgan: Department of Horticultural Science, University of Minnesota Twin Cities, St. Paul, MN; Principe and Wiese-Bjornstal: School of Kinesiology, University of Minnesota Twin Cities, Minneapolis, MN; Kurtz: School of Statistics, University of Minnesota Twin Cities, Minneapolis, MN |
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| Title: | Within-field variability of turfgrass surface properties and athlete performance: Modeling their relationship using GPS and GIS technologies |
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| Source: | Proceedings of the Institutionof Mechanical Engineers, Part P:Journal of Sports Engineering and Technology. Vol. 234, No. 2, June 2020, p. 170-175. |
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| Publishing Information: | London, England, United Kingdom: Professional Engineering Publishing Limited |
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| # of Pages: | 6 |
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| Related Web URL: | https://journals.sagepub.com/doi/abs/10.1177/1754337119901090
Last checked: 03/15/2021
Notes: Abstract only |
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| Keywords: | Author-Supplied Keywords: Athletes; Athletic fields; Normalized difference vegetation index; Speed; Soil moisture; Surface hardness
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| Abstract/Contents: | "Surface properties of turfgrass athletic fields exhibit within-field variability. Wearable global positioning system athlete performance tracking units allow for the investigation of field impact on athlete performance. The purpose of this technical note is to present a case study introducing a methodology to model the effect of within-field variability on athlete |
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| Language: | English |
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| References: | 12 |
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| Note: | Maps
Figures
Tables |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Straw, C. M., F. M. Principe, E. L. Kurtz, D. M. Wiese-Bjornstal, and B. P. Horgan. 2020. Within-field variability of turfgrass surface properties and athlete performance: Modeling their relationship using GPS and GIS technologies. Proceedings of the Institutionof Mechanical Engineers, Part P:Journal of Sports Engineering and Technology. 234(2):p. 170-175. |
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| DOI: 10.1177/1754337119901090 |
| Web URL(s):
https://journals.sagepub.com/doi/pdf/10.1177/1754337119901090
Last checked: 03/15/2021
Requires: PDF Reader
Access conditions: Item is within a limited-access website |
| 
MSU catalog number: b6688648 |
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