pyPhenology.models.Unichill

class pyPhenology.models.Unichill(parameters={})

Unichill two-phase model.

Two phase forcing model using a sigmoid function for forcing and chilling units.

TODO: unichill equation

Parameters:

t0 : int

The DOY which chilling accumulating beings

default : (-67,298)

C : int, > 0

The total chilling units required

default : (0,300)

F : int, > 0

The total forcing units required

default : (0,200)

b_f : int, < 0

Sigmoid function parameter for forcing

default : (-20,0)

c_f : int

Sigmoid function parameter for forcing

default : (-50,50)

a_c : int, > 0

Sigmoid function parameter for chilling

default : (0,20)

b_c : int

Sigmoid function parameter for chilling

default : (-20,20)

c_c : int

Sigmoid function parameter for chilling

default : (-50,50)

Notes:

Chuine, I. (2000). A Unified Model for Budburst of Trees. Journal of Theoretical Biology, 207(3), 337–347. http://doi.org/10.1006/jtbi.2000.2178

__init__(parameters={})

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__([parameters])	Initialize self.
fit(observations, predictors[, …])	Estimate the parameters of a model
get_params()	Get the fitted parameters
predict([to_predict, predictors])	Make predictions
save_params(filename[, overwrite])	Save the parameters for a model
score([metric, doy_observed, to_predict, …])	Evaluate a prediction given observed doy values