FZStats v1.0: a raster statistics toolbox for simultaneous management of spatial stratified heterogeneity and positional dependence in Python

Ren, Na; Zhang, Daojun; Cheng, Qiuming

doi:https://doi.org/10.5194/gmd-18-7165-2025

Articles | Volume 18, issue 19

https://doi.org/10.5194/gmd-18-7165-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-18-7165-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 19

Development and technical paper

|

13 Oct 2025

Development and technical paper |

| 13 Oct 2025

FZStats v1.0: a raster statistics toolbox for simultaneous management of spatial stratified heterogeneity and positional dependence in Python

Na Ren, Daojun Zhang, and Qiuming Cheng

Supplement

https://doi.org/10.5194/gmd-18-7165-2025-supplement

Data sets

FZStats v1.0 operation data N. Ren and D. Zhang https://doi.org/10.5281/zenodo.16009159

Landsat 8–9 Operational Land Imager/Thermal Infrared Sensor Level-2, Collection 2 U.S. Geological Survey https://doi.org/10.5066/P9OGBGM6

NASA Shuttle Radar Topography Mission Global 1 arc second NASA JPL https://doi.org/10.5067/MEaSUREs/SRTM/SRTMGL1.003

Model code and software

FZStats v1.0 N. Ren and D. Zhang https://doi.org/10.5281/zenodo.15333217

Short summary

While focal statistics and zonal statistics deal with spatial position dependence (SPD) and spatial stratified heterogeneity (SSH) separately, the developed foca–zonal mixed statistics can handle both simultaneously. This new tool has the potential to become a general statistics tool. The integrated FZStats v1.0 toolbox in this study includes all three models mentioned above, providing new methodological support for understanding and addressing spatial statistical issues.