OCR A-Level Geography H481
Coastal Landscapes
Glaciated Landscapes
Dryland Landscapes
Earth’s Life Support Systems
Changing Spaces; Making Places
Trade in the Contemporary World
Global Migration
Human Rights
Power and Borders
Climate Change
Disease Dilemmas
Exploring Oceans
Future of Food
Hazardous Earth
Geographical Skills
Geographical Skills
Geographical data, its types and the ethics of using it
- 3 things to know
- Components 01, 02 and 03
Overview
Recall questions on what makes data geographical, quantitative and qualitative, primary and secondary, and numerical and spatial data, crowd-sourced mapping after the 2010 Haiti earthquake, big data and its limits, informed consent, anonymity and fine-scale mapping, the socio-political effects of data categories, judging reliability, and misleading axes, start dates, percentages and the ecological fallacy.
What you need to know
Answer each one before you reveal it.
How can the vertical axis of a graph be used to mislead?
How can the choice of start date misrepresent a trend?
Questions from this subtopic
Each one with the model answer underneath.
- 1
What makes data geographical?
Model answer
Data is geographical when each observation is tied to a location, by coordinates, a grid reference, a postcode or a named area, so that it can be mapped and its variation across space and over time analysed.
- 2
Distinguish between quantitative and qualitative data.
Model answer
Quantitative data is numerical and can be measured, counted and tested statistically, such as pebble lengths or infiltration rates, whereas qualitative data is descriptive, such as interview transcripts, photographs or field sketches, and records meaning and experience.
- 3
Distinguish between primary and secondary data.
Model answer
Primary data is collected first-hand by the investigator, such as a beach profile surveyed in the field, whereas secondary data has already been collected by someone else, such as census tables, published river levels or climate records.
- 4
Give one advantage and one disadvantage of using secondary data.
Model answer
It can cover far larger areas and longer periods than an individual could survey, such as decades of rainfall records, but the user cannot check how it was collected and it may not measure exactly what the investigation needs.
- 5
Distinguish between numerical data and spatial data.
Model answer
Numerical data records a value, such as a wind speed or a population count, while spatial data records where something is, such as the edge of a glacier or the line of a flood defence, and geographical analysis usually combines the two.
- 6
What is crowd-sourced data?
Model answer
Crowd-sourced data is information contributed voluntarily by large numbers of members of the public, usually through a website or app, such as the street map built entirely by volunteers in OpenStreetMap.
Other ways to work this
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