Tool Chapter 5 Practical 8

CO₂ Analysis Tool - NDVI/Correlation Edition

🌍 CO₂ Analysis Tool

NDVI/Correlation Analysis Edition

Analysis Overview

Status: No data loaded. Please upload a file or paste data.
Total Records
0
Date Range
-
Mean CO₂
-
ppm
Mean NDVI
-
Unique Locations
0

Data Quality Report

No data loaded yet.

Quick Preview (First 5 rows)

Load data to see preview...

Analysis Summary

Run analysis to generate summary statistics and trends.

Raw Data View

Complete parsed dataset with standardized columns.

# Original Date Parsed Date Year Month Latitude (°N) Longitude (°E) CO₂ (ppm) NDVI
No data loaded. Please upload a file or paste data.

Temporal Analysis

Annual Statistics

Year Mean CO₂ (ppm) Min (ppm) Max (ppm) Std Dev N Trend (ppm/yr)
Run analysis to generate statistics

Seasonal Variation Analysis

View Mode:
Monthly View: Shows CO₂ variation across all 12 months (January - December) pooled across all years.

Monthly Statistics

Month Mean CO₂ (ppm) Std Dev Min (ppm) Max (ppm) Sample Size

Spatial Distribution Analysis

Standard Deviation Ellipse (SDE) Parameters

The SDE quantifies the geographic distribution, orientation, and stability of CO₂ patterns.
Period Center Longitude (°E) Center Latitude (°N) Major Axis (°) Minor Axis (°) Axis Ratio Rotation (°)
Run analysis with SDE option enabled
Spatial Center
-
Center Drift
-
km
Mean Dispersion
-
degrees

Correlation Analysis: CO₂ vs NDVI

Pearson Correlation Coefficient (r): Measures linear correlation between CO₂ concentration and NDVI. Values range from -1 (perfect negative) to +1 (perfect positive). R² indicates the proportion of variance explained.
Correlation Coefficient (r)
-
-
R² Value
-
Explained Variance
Regression Slope
-
CO₂ change per NDVI unit
Intercept
-
Baseline CO₂ (ppm)

Correlation Statistics by Season

Season Pearson r P-Value Sample Size Relationship
Run analysis to generate correlation statistics

Interpretation Guide

Correlation Strength: 0.7 to 1.0 Strong Positive 0.4 to 0.7 Moderate Positive 0.1 to 0.4 Weak Positive -0.1 to 0.1 No Correlation -0.4 to -0.1 Weak Negative -0.7 to -0.4 Moderate Negative -1.0 to -0.7 Strong Negative

Generated Tables

Publication-ready tables following scientific reporting standards.

Table 1: Comparison with Previous Studies

Study Dataset Period Region Key Findings CO₂ Trend (ppm/yr) Correlation
Run analysis to compare with literature

Table 2: Dataset Description

S.No Data Name Source Temporal Resolution Spatial Resolution Coverage
1 CO₂ Measurements Field/Station Measurements Daily/Monthly Point -
2 NDVI Remote Sensing/Satellite Monthly 250m - 1km MODIS/Landsat

Table 3: Spatiotemporal SDE Summary

Run spatial analysis to generate SDE parameters table.

Table 4: Correlation Analysis Summary

Variable Pair Pearson r P-Value Regression Equation N
Run analysis to generate correlation statistics

Table S1: Monthly CO₂ Statistics

Month Mean (ppm) Std Dev Min (ppm) Max (ppm) Sample Size

Table S2: Seasonal CO₂ Statistics (IMD Classification)

Season Months Mean (ppm) Std Dev Min (ppm) Max (ppm) Sample Size

No comments:

Post a Comment

Agent maker

AgentForge ...