Climate Data Analysis
Unit 9 · Week 3 · Patterns and Anomalies
Ngā Whāinga Akoranga · Learning Intentions
- Read and interpret climate data from graphs and tables
- Identify trends, patterns, and anomalies in climate datasets
- Calculate simple statistics (range, mean) from climate data
- Evaluate the limitations of a dataset and suggest next steps
Paearu Angitu · Success Criteria
- I can describe a clear trend from my data in one sentence
- I can identify at least one anomaly and suggest a cause
- I can calculate the range and mean for at least one variable
- I can state one limitation of the dataset and what I would collect next
Hononga Marautanga · Curriculum Alignment
Carry out investigations, using a range of scientific tools and methods; process and interpret data.
Investigate the physical, chemical, and biological systems and their interactions; examine how climate systems operate and change over time.
Raraunga Āhuarangi · Climate Data Table
Record your data below. Use NIWA, MetService, or your teacher's provided dataset. Aim for at least 6 data points.
| Date / Period | Variable | Value + units | Source | Notes / anomaly? |
|---|---|---|---|---|
Tatauranga Māmā · Simple Statistics
Calculate for your primary variable:
Show your mean calculation:
Āhua Kauwhata · Graph / Sketch Space
Plot your data as a line graph or bar chart. Label axes with variable and units.
Tūāhua Āhua · Pattern and Anomaly Analysis
📈 Trend identified
⚠️ Anomaly (unusual data point)
1. What might explain the trend you identified?
2. What is one limitation of this dataset? (Think: time period, location, measurement method)
3. What additional data would you collect to strengthen your conclusion?
4. How does your climate data connect to what you have observed or heard through Maramataka knowledge this week?
Aronga Mātauranga Māori
Western climate science measures the natural world through instruments and statistics — producing data that can be compared across time and space. Maramataka knowledge measures the same world through accumulated ecological observation — producing wisdom that is place-specific and relationally embedded.
When a climate dataset shows an anomaly (an unusually warm winter, an early dry period), it records the fact of change. Maramataka knowledge can provide the meaning — what that shift implies for planting, harvest, or the behaviour of kaitiaki species. Together they offer a richer picture than either alone.
Ngā Rauemi Tautoko · Support Materials
Resources already provided:
- NIWA climate dataset (printed copy or linked on class site)
- Unit 9 graphing guide (distributed Week 1)
- Calculator (permitted for statistics section)
- Week 3 Traditional Weather Research handout — for Maramataka comparison (Q4)
Aronga Rerekē · Differentiated Pathways
Tīmata · Entry Level
Complete the data table with 5 rows. Calculate range only (max − min). Answer questions 1 and 2. Draw a simple bar chart.
Paerewa · On Level
Complete all 8 data rows. Calculate range and mean. Draw a line graph with labelled axes. Answer all 4 questions.
Tūāpae · Extension
Complete all sections. Extension: Find a second climate variable dataset for the same period. Plot both on one graph with a dual Y-axis. Write a paragraph comparing the two trends and suggesting a causal relationship between them.