sample_data

A dataset containing biochemical parameters used to compute APTI.

datasets

It calculates the Air Pollution Tolerance Index (APTI) of plant species using biochemical parameters such as chlorophyll content, leaf extract pH, relative water content, and ascorbic acid content. It helps in identifying tolerant species for greenbelt development and pollution mitigation studies. It includes a 'shiny' app for interactive APTI calculation and visualisation. For method details see, Sahu et al. (2020).<DOI:10.1007/s42452-020-3120-6>.

Nobin Paul

APTIcalc

Air Pollution Tolerance Index (APTI) Calculator

Nobin Chandra Paul

Rupali Singh

Sangram B Chavan

Navyasree Ponnaganti

K. Sammi Reddy

sample_data function

A data frame with 15 rows and 4 variables:<dl>
 <dt>A</dt>
<dd>Ascorbic acid content (mg/g)</dd> <dt>TC</dt>
<dd>Total chlorophyll content (mg/g)</dd> <dt>P</dt>
<dd>Leaf extract pH</dd> <dt>R</dt>
<dd>Relative water content (%)</dd>
</dl>

Format

Sample data for APTI calculation — sample_data

A data frame with 15 rows and 4 variables:<dl>
 <dt>A</dt>
<dd>Ascorbic acid content (mg/g)</dd>

 <dt>TC</dt>
<dd>Total chlorophyll content (mg/g)</dd>

 <dt>P</dt>
<dd>Leaf extract pH</dd>

 <dt>R</dt>
<dd>Relative water content (%)</dd>


</dl>

sample_data: Sample data for APTI calculation

Description

Usage

Arguments

Format