Scales of Analysis
| English | Chinese | Pinyin |
|---|---|---|
| scale of analysis | 分析尺度 | fēn xī chǐ dù |
Zoom in, zoom out
- Scale of analysis 分析尺度 is the level you look at data: global, regional, national, or local.
- The same place nests inside larger and larger scales.
- Choosing a scale is like choosing a zoom level on a map.
The scale of analysis is best described as...
Scale of analysis = the level (global, regional, national, local) you look at data.
The pattern changes with scale
- A country can look wealthy at the national scale...
- ...yet contain very poor neighbourhoods at the local scale.
- Zooming in or out reveals patterns that were hidden before.
A pattern seen at the national scale must also be true at the local scale.
Patterns can differ — a wealthy nation can contain poor neighbourhoods.
Why scale matters on the exam
- Exam questions often ask you to explain a process "at various scales".
- A cause visible globally may look very different locally.
- Always state which scale you are analysing at.
Never assume a pattern at one scale holds at another. A nation with high average income (national scale) can hide extreme poverty in one city (local scale). Mixing scales without saying so is a classic exam mistake.
Which scale of analysis?
Sort each example by its scale of analysis.
Order these scales from largest to smallest.
Global (whole world) → regional (group of countries) → national (one country) → local (one place).
A city, town, or neighbourhood is the ____ scale.
The local scale is the smallest — a single place.
Select all valid scales of analysis.
Global, regional, national, and local are scales; "colourful" is not.
From global to local
- Global — the whole world; regional — a group of countries or areas.
- National — one country; local — a city, town, or neighbourhood.
- Good analysis moves between scales to see the full picture.
Look at the USA at the national scale and average income is high. Zoom to the local scale of one rural county and you may find deep poverty. Same country, opposite conclusions — because the scale of analysis changed.
Scale of analysis (global, regional, national, local) is the level you examine data at. The same pattern can look opposite at different scales, so always state your scale and move between scales to understand a process fully.