A generic algorithm to automatically classify urban fabric according to the local climate zone system: implementation in GeoClimate 0.0.1 and application to French cities

Bernard, Jérémy; Bocher, Erwan; Gousseff, Matthieu; Leconte, François; Le Saux Wiederhold, Elisabeth

doi:https://doi.org/10.5194/gmd-17-2077-2024

Articles | Volume 17, issue 5

https://doi.org/10.5194/gmd-17-2077-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-17-2077-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 5

Model description paper

|

13 Mar 2024

Model description paper |

| 13 Mar 2024

A generic algorithm to automatically classify urban fabric according to the local climate zone system: implementation in GeoClimate 0.0.1 and application to French cities

Jérémy Bernard, Erwan Bocher, Matthieu Gousseff, François Leconte, and Elisabeth Le Saux Wiederhold

Data sets

GeoClimate 0.0.1 LCZ calculation: Code and data Jérémy Bernard et al. https://doi.org/10.5281/zenodo.7687911

Model code and software

GeoClimate: a Geospatial processing toolbox for environmental and climate studies Erwan Bocher et al. https://doi.org/10.5281/zenodo.6372337

lczexplore : an R package to compare different local climate zone classifications on same geographical areas Matthieu Gousseff https://doi.org/10.5281/zenodo.7646866

Short summary

Geographical features may have a considerable effect on local climate. The local climate zone (LCZ) system proposed by Stewart and Oke (2012) is seen as a standard approach for classifying any zone according to a set of geographic indicators. While many methods already exist to map the LCZ, only a few tools are openly and freely available. We present the algorithm implemented in GeoClimate software to identify the LCZ of any place in the world using OpenStreetMap data.