SQI
Soil Quality Index
The overall performance of soil ecosystem services and productivity greatly relies on soil health, making it a crucial indicator. The evaluation of soil physical, chemical, and biological parameters is necessary to determine the overall soil quality index. In our package, three commonly used methods, including linear scoring, regression-based, and principal component-based soil quality indexing, are employed to calculate the soil quality index. This package has been developed using concept of Bastida et al. (2008) and Doran and Parkin (1994) doi:10.1016/j.geoderma.2008.08.007 doi:10.2136/sssaspecpub35.c1.
- Version0.1.0
- R version≥ 3.5.0
- LicenseGPL-3
- Needs compilation?No
- Last release04/10/2023
Team
Dr. Owais Ali Wani
Dr. Md Yeasin
Show author detailsRolesAuthorDr. Faaique Nazir
Show author detailsRolesAuthorDr. Syed Sheraz Mahdi
Show author detailsRolesAuthorDr. Shabir Bangroo
Show author detailsRolesAuthorDr. A Raouf Malik
Show author detailsRolesAuthorDr. Shahnawaz Rasool Dar
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 187 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,201 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 11, 2024 with 25 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports5 packages