[talweg.git] / README.md

# Predict PM10 as functions of time

Joint work with [Jean-Michel Poggi](http://www.math.u-psud.fr/~poggi/) and [Bruno Portier](http://lmi2.insa-rouen.fr/~bportier/)

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Forecast a curve sampled within the day (seconds, minutes, hours...),
using past measured curves + past exogenous informations, which could be some aggregated
measure on the past curves, the weather... Main starting point: computeForecast().

NOTE: algorithms are not specific to PM10 and could be applied to anything else (in similar contexts).
However, seasons are hard-coded to follow pollution events.
You may want to change them in pkg/R/utils.R, function .isSameSeason()

NOTE 2: the package works for only one series (one station). Further extensions might consider the multi-series case.

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The final report may be found at [this location](http://www.airnormand.fr/Publications/Publications-telechargeables/Rapports-d-etudes)
Commit	Line	Data
	1	# Predict PM10 as functions of time
	2
	3	Joint work with [Jean-Michel Poggi](http://www.math.u-psud.fr/~poggi/) and [Bruno Portier](http://lmi2.insa-rouen.fr/~bportier/)
	4
	5	---
	6
	7	Forecast a curve sampled within the day (seconds, minutes, hours...),
	8	using past measured curves + past exogenous informations, which could be some aggregated
	9	measure on the past curves, the weather... Main starting point: computeForecast().
	10
	11	NOTE: algorithms are not specific to PM10 and could be applied to anything else (in similar contexts).
	12	However, seasons are hard-coded to follow pollution events.
	13	You may want to change them in pkg/R/utils.R, function .isSameSeason()
	14
	15	NOTE 2: the package works for only one series (one station). Further extensions might consider the multi-series case.
	16
	17	---
	18
	19	The final report may be found at [this location](http://www.airnormand.fr/Publications/Publications-telechargeables/Rapports-d-etudes)