ladybug_comfort.parameter.pet module

Parameters for specifying body characteristics for the PET model.

class ladybug_comfort.parameter.pet.PETParameter(age=None, sex=None, height=None, body_mass=None, posture=None, humid_acclimated=False)[source]

Bases: ComfortParameter

Parameters specifying body characteristics for the PET model.

Parameters:

  • age – The age of the human subject in years. (Default: 36 years for middle age of the average worldwide life expectancy).

  • sex – A value between 0 and 1 to indicate the sex of the human subject, which influences the computation of basal metabolism. 0 indicates male. 1 indicates female and any number in between denotes a weighted average between the two. (Default: 0.5).

  • height – The height of the human subject in meters. Average male height is around 1.75m while average female height is 1.55m. (Default: 1.65m for a worldwide average between male and female height).

  • body_mass – The body mass of the human subject in kilograms. (Default: 62 kg for the worldwide average adult human body mass).

  • posture –

    A text string indicating the posture of the body. Letters must be lowercase. Default is “standing”. Choose from the following:

    • standing

    • seated

    • crouching

  • humid_acclimated – A boolean to note whether the human subject is acclimated to a humid/tropical climate (True) or is acclimated to a temperate climate (False). When True, the categories developed by Lin and Matzarakis (2008) will be used to assess comfort instead of the original categories developed by Matzarakis and Mayer (1996).

Properties:

  • age

  • sex

  • height

  • body_mass

  • posture

  • humid_acclimated

ToString()

Overwrite .NET ToString.

duplicate()

Get a copy of this object.

classmethod from_dict(data)[source]

Create a PETParameter object from a dictionary.

Parameters:

data – A PETParameter dictionary in following the format below.

{
'type': 'PETParameter',
'age': 36,
'sex': 1,
'height': 1.55,
'body_mass': 45,
'posture': 'standing',
'humid_acclimated': True
}
classmethod from_string(pet_parameter_string)[source]

Create an PETParameter object from an PETParameter string.

to_dict()[source]

PETParameter dictionary representation.

POSTURES = ('standing', 'seated', 'crouching')
property age

The age of the human subject in years.

property body_mass

The body mass of the human subject in kilograms.

property comfort_model

Return the name of the comfort model to which the parameters belong.

property height

The height of the human subject in meters.

Average male height is around 1.75m while average female height is 1.55m.

property humid_acclimated

A boolean for whether subject is acclimated to a humid or temperate climate.

When True, the categories developed by Lin and Matzarakis (2008) for a humid/subtropical climate will be used to assess comfort instead of the original categories developed by Matzarakis and Mayer (1996).

property posture

A text string indicating the posture of the body.

property sex

A value between 0 and 1 to indicate the sex of the human subject.

This influences the computation of basal metabolism. 0 indicates male. 1 indicates female. Any number in between denotes a weighted average between the two.