iclothing

iclothing is a Python package designed to estimate local clothing insulation (I_cl,i) values at 17 body parts from a given overall clothing insulation (I_cl) for standing and generic postures.

In thermal comfort analysis, assuming uniform insulation across body segments can introduce significant errors in predicting heat exchange between the human body and the environment. The iclothing package addresses this limitation by implementing regression models derived from 240 real-world clothing ensembles, enabling fast and accurate predictions of local insulation values.

Please cite us if you use this package: Lin, J., Jiang, Y., Xie, Y. et al. A novel method for local clothing insulation prediction to support sustainable building and urban design. Int J Biometeorol (2025). https://doi.org/10.1007/s00484-025-02934-3

Documentation

https://lynnjunwei.github.io/iclothing/index.html

Dependencies

• numpy

Installation

pip install iclothing

Example

import iclothing

icl = 0.3
icli = iclothing.get_icl_dict(icl=icl, posture="generic")
print(icli)

output:

{
    'Head': 0.13,
    'Neck': 0.0,
    'Chest': 0.59,
    'Back': 0.648,
    'Pelvis': 1.114,
    'LShoulder': 0.207,
    'LArm': 0.0,
    'LHand': 0.0,
    'RShoulder': 0.207,
    'RArm': 0.0,
    'RHand': 0.0,
    'LThigh': 0.618,
    'LLeg': 0.054,
    'LFoot': 0.425,
    'RThigh': 0.618,
    'RLeg': 0.054,
    'RFoot': 0.425
}

The order of the body parts is consistent with the JOS-3 model.

License

GNU General Public License v3.0