About This Project
This page provides a concise overview of the datasets, data processing steps, and the justification behind the visualization choices used in our interactive analysis of the El Niño and La Niña (ENSO) cycle.
Datasets Used
The project combines several openly accessible climate and socio-economic datasets:
- Sea Surface Temperature (SST): Monthly SST fields used to illustrate warm (El Niño) and cool (La Niña) anomalies.
- ONI / ENSO Index: Official Oceanic Niño Index values used to classify the intensity and timing of ENSO events.
- National Temperature, Precipitation, GDP Growth: Monthly and Annual country-level indicators used to explore the potential impacts of ENSO.
- Fishery Production Data: Used to visualize ENSO-related variations in marine activity, especially in the Pacific.
Data Processing & Algorithms
Core preprocessing steps:
- Standardizing all datasets to a yearly or monthly time scale.
- Cleaning missing or invalid values.
- Normalizing numerical ranges for consistent color scales.
- Matching country codes and map identifiers to allow linking data with geographical shapes.
Analytical operations:
- Computing SST anomalies relative to long-term means.
- Highlighting El Niño / La Niña events based on ONI thresholds.
- Cross-comparing ENSO phases with country-level variables (temperature, rainfall, GDP, fishing outputs).
- Interactive filtering by year and variable to support exploratory analysis.
Justification of the Visualization Choices
Our visualization design is based on clarity, geographical relevance, and interactivity:
- World Map: ENSO is a global phenomenon originating in the Pacific Ocean. A world map clearly shows both the source (ocean anomalies) and the impacts across countries.
- Ocean Coloring (Red/Blue SST Anomalies): This color scale is the scientific standard for visualizing El Niño (warm) and La Niña (cold) phases. It helps users immediately recognize ENSO patterns.
- Country-Level Choropleth Map: Allows comparison of temperature, rainfall, GDP growth, and fishing production for each year, making regional impacts visible.
- Scatterplot: Essential for identifying correlations between two variables (e.g., Temperature vs. Rainfall) and spotting statistical trends that remain invisible on a simple map.
- Segmentation by Climate Phase: On this graph, coloring points by episode (El Niño in red, La Niña in blue) allows you to immediately see if a climate phase alters the distribution of socio-economic data.
- Interactive Controls: Switching between variables and years enables free exploration and highlights the temporal evolution of ENSO.
- ENSO Timeline: A horizontal timeline marks strong El Niño (red) and La Niña (blue) years, helping users relate global patterns to specific ENSO events.
This combination provides a visually intuitive and scientifically grounded representation of how oceanic anomalies relate to global climatic and socio-economic patterns.