PyLUR: Efficient software for land use regression modeling the spatial distribution of air pollutants using GDAL/OGR library in Python

{{article.zuoZheEn}}

PDF(3050 KB)
PDF(3050 KB)
Front. Environ. Sci. Eng. ›› 2020, Vol. 14 ›› Issue (3) : 44. DOI: 10.1007/s11783-020-1221-5
RESEARCH ARTICLE

PyLUR: Efficient software for land use regression modeling the spatial distribution of air pollutants using GDAL/OGR library in Python

  • {{article.zuoZheEn}}
Author information +
History +

Highlights

{{article.highlightEn}}

Abstract

{{article.abstractEn}}

Author summary

{{article.authorSummayEn}}

Graphical abstract

Keywords

Cite this article

Download citation ▾
{{article.zuoZheEn_L}}. {{article.titleEn}}. Front. Environ. Sci. Eng., 2020, 14(3): 44 https://doi.org/10.1007/s11783-020-1221-5

References

References

{{article.reference}}

RIGHTS & PERMISSIONS

{{article.copyright.year}} {{article.copyright.holder}}
PDF(3050 KB)

Accesses

Citations

Detail

Sections
Recommended

/