Analysis of environmental temperature estimations from battery temperature readings

dc.rights.license	CC-BY-NC-ND
dc.contributor.advisor	van Delden, A.J.
dc.contributor.author	Pape, J.J.
dc.date.accessioned	2015-09-09T17:00:34Z
dc.date.available	2015-09-09T17:00:34Z
dc.date.issued	2015
dc.identifier.uri	https://studenttheses.uu.nl/handle/20.500.12932/30777
dc.description.abstract	It is shown in previous research that a daily averaged environmental temperature can be determined by using smartphone battery temperatures and a heat-transfer model. To be able to improve this method, the relation between number or readings per day and the performance of the model is observed in the city of Sao Paulo. Apart from that additional data is available from which an entire year is used as respectively calibration and validation. It appears that this method leads to a very good, independent daily averaged environmental temperature estimate. Furthermore, the performance is investigated when spatial selections and hourly temperature estimates have been made.
dc.description.sponsorship	Utrecht University
dc.format.extent	23200947
dc.format.mimetype	application/pdf
dc.language.iso	en
dc.title	Analysis of environmental temperature estimations from battery temperature readings
dc.type.content	Bachelor Thesis
dc.rights.accessrights	Open Access
dc.subject.keywords	battery temperature, environmental temperature, temperature, crowdsourcing, meteorological, WMO, KNMI, University Utrecht, UU, Sao Paulo, big data, heat island effect, UHI, timeseries
dc.subject.courseuu	Natuur- en Sterrenkunde