Place Case Studies and Fieldwork

Spec mapping (AQA 7037): Paper 2 (Human), §3.2.2 Changing Places + the Non-Examined Assessment (NEA / Independent Investigation, 20% of the A-Level) — the place studies (a local/home place and a contrasting/distant place); designing and carrying out a geographical investigation: aim/question, primary and secondary data, sampling, presentation, analysis, conclusion and evaluation. This lesson synthesises the whole unit: it deploys the concepts (Lessons 6–8) and the quantitative/qualitative methods (Lessons 7, 9) in an applied investigation. It is AO3-skills heavy (designing methodology, analysing data, evaluating) and contains a fully worked Spearman's rank result and a complete sampling/fieldwork design for a worked place enquiry.

The specification requires you to study places — your local (home) place and a contrasting/distant place — and to demonstrate the full enquiry process that underpins the NEA. The signature skill is methodological: framing a researchable question, choosing appropriate primary and secondary data, sampling without bias, presenting and analysing data (including statistical testing), and — the part students most often neglect — evaluating the reliability, validity and limitations of the whole study with genuine critical honesty. This lesson builds a complete worked place enquiry to model that process end to end.

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The enquiry route: the spine of every investigation

graph TD
    A[1. Aim / research question<br/>or hypothesis] --> B[2. Background research<br/>secondary data, theory, literature]
    B --> C[3. Methodology & sampling<br/>primary + secondary; minimise bias]
    C --> D[4. Data collection<br/>fieldwork: quant + qual]
    D --> E[5. Data presentation<br/>maps, graphs, qualitative displays]
    E --> F[6. Analysis<br/>describe, manipulate, statistically test]
    F --> G[7. Conclusion<br/>answer the question; link to theory]
    G --> H[8. Evaluation<br/>reliability, validity, limitations, improvements]
    H -.feeds back into.- A

Every strong place study — and every NEA — moves through these eight stages. The arrows are not merely chronological: a good evaluation (stage 8) reflects back on the question and methodology, and a well-framed question (stage 1) anticipates the analysis (stage 6) it will permit. Holding the whole route in view is what prevents the commonest NEA failing — a collection of data with no argument.

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The Local Place Study

Purpose

The local place study requires students to investigate a place they know — their home area, school neighbourhood, or a nearby community — using both quantitative and qualitative methods. The aim is to develop a deep, multi-dimensional understanding of the place, drawing on the theoretical frameworks covered in earlier lessons.

Methodology

A rigorous place study follows a systematic approach:

1. Define the study area — establish clear boundaries (ward, parish, LSOA, or a defined neighbourhood)
2. Research question or hypothesis — frame the investigation around a specific question (e.g., "To what extent does the sense of place in [area] vary between long-term residents and recent arrivals?")
3. Background research — compile existing data (census, IMD, historical maps, local history sources)
4. Primary data collection — gather original data through fieldwork
5. Data presentation — display data using appropriate techniques
6. Analysis — interpret patterns, relationships, and anomalies
7. Conclusions — answer the research question, linking findings to geographical theory
8. Evaluation — assess the reliability, validity, and limitations of the study

Selecting a Research Question

Strong place study questions:

• Are specific enough to investigate within the time and resources available
• Allow both quantitative and qualitative investigation
• Link to theoretical frameworks from the specification (Tuan, Relph, Massey, etc.)
• Enable comparison between different groups, time periods, or places

Weak Question	Strong Question
"What is my local area like?"	"How has gentrification changed the sense of place in [neighbourhood] since 2010?"
"Is my area deprived?"	"To what extent do IMD indicators align with residents' perceptions of deprivation in [LSOA]?"
"Do people like living here?"	"How do insider and outsider perspectives of [place] differ, and what factors explain these differences?"

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Primary Data Collection Methods

Quantitative Primary Data

Method	What It Measures	How to Conduct
Environmental quality survey	Physical quality of the built environment	Score features (litter, graffiti, building condition, green space, noise) on a scale at multiple locations
Land use mapping	Types of activity in an area	Walk systematically through the area, recording the use of every building/plot on a base map
Pedestrian count	Footfall and activity levels	Count pedestrians passing a fixed point during a set time period; repeat at different times/locations
Traffic count	Vehicle volumes and types	Count vehicles passing a fixed point; classify by type (car, bus, HGV, bicycle)
Building age/condition survey	Physical character of the built environment	Record architectural style, building materials, approximate age, and condition
Perception survey	Quantified subjective responses	Administer structured questionnaires with Likert scales and semantic differentials
House price data	Economic value of property	Record estate agent asking prices for a sample of properties; compare across areas

Qualitative Primary Data

Method	What It Captures	How to Conduct
Semi-structured interviews	Individual perspectives and experiences	Prepare a topic guide with 5-8 open-ended questions; record and transcribe responses
Walking interviews	Place-based memories and perceptions	Walk through the study area with a participant, using the environment as a prompt for conversation
Mental maps	Cognitive representations of place	Ask participants to draw a map of the area from memory; analyse what is included/excluded
Photography	Visual evidence of place character	Systematic photographic survey of the area; photo-voice with participants
Oral histories	Long-term change and memory	Record older residents' memories of the area; focus on change over time
Field sketches	Visual recording with annotation	Sketch key views/features; annotate with observations about land use, building condition, activity

Sampling Strategies

Strategy	Description	When to Use
Random	Every location/person has an equal chance of selection	When you want to avoid bias; requires a sampling frame
Systematic	Select at regular intervals (e.g., every 5th house, every 50m along a transect)	When you want even spatial coverage
Stratified	Divide population into subgroups and sample from each	When you want to compare groups (e.g., by age, length of residence)
Purposive	Select participants who can provide specific insights	When you want expert or specialised knowledge
Opportunity	Select whoever is available and willing	When time is limited; risk of bias

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The Contrasting Place Comparison

Purpose

The specification requires comparison of places with contrasting demographic, socio-economic, cultural, and place-identity characteristics. This might involve:

• An urban neighbourhood vs. a rural village
• A deprived area vs. an affluent area
• A local place vs. a distant place
• A place experiencing growth vs. one experiencing decline

The point of the contrasting-place study is not simply to describe two places but to use their differences analytically — to throw each into relief by comparison, and to test how the unit's concepts (Lessons 6–8) and processes (Lessons 1–5) play out differently in different contexts. A well-chosen contrast is itself an argument: pairing a re-urbanising inner district with a counter-urbanising commuter village (Lesson 2), or a gentrifying area with a declining one (Lesson 4), lets the differences in sense of place, perception and representation become evidence rather than mere observation. This directly mirrors the comparative reasoning the course rewards throughout: the deprived inner ward and the affluent village both have strong communities and place attachment, but their causes, representations and trajectories differ in ways the theory illuminates.

Near and Far Places

Dimension	Near Place	Far Place
Personal connection	Direct experience; insider knowledge	Known through media, data, or brief visits
Data availability	Primary data collection possible	Reliance on secondary data
Cultural familiarity	Shared cultural context	May involve cross-cultural interpretation
Research methods	Full range of primary methods	Secondary data; virtual fieldwork; limited primary data

Structuring the Comparison

A systematic comparison should address:

1. Physical and locational characteristics — site, situation, topography, climate, natural features
2. Demographic profile — population size, age structure, ethnicity, migration patterns
3. Socio-economic characteristics — employment, income, deprivation, housing, education
4. Cultural identity — traditions, languages, religious practices, community organisations
5. Sense of place — how residents and outsiders perceive and experience the area
6. Change over time — how and why the place has changed; forces driving change
7. Representations — how the place is represented in media, art, literature, and official discourse

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Place Profiles

A place profile is a comprehensive summary of a place's characteristics, combining quantitative data and qualitative description.

Components of a Place Profile

Component	Data Sources
Location and connectivity	OS maps, Google Maps, transport data
Physical geography	Geology maps, climate data, environmental surveys
Population	Census data, ONS mid-year estimates
Economy	Employment data, business directories, land use surveys
Deprivation	IMD data, domain scores
Housing	Census tenure data, estate agent prices, housing condition surveys
Services and facilities	Field mapping, directories, accessibility analysis
Culture and identity	Interviews, photographs, historical sources, media analysis
Perceptions	Perception surveys, mental maps, interviews
Change	Historical maps, census comparisons, oral histories, repeat photography

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Data Presentation Techniques

Effective data presentation is essential for communicating place study findings.

Maps and Spatial Displays

• Annotated base maps — OS maps with field observations, photographs, and data overlaid
• Choropleth maps — shaded maps showing spatial variation (e.g., deprivation by LSOA)
• Flow maps — showing movement patterns (commuting, migration)
• Desire line maps — showing the origins of visitors or workers
• GIS outputs — digital maps combining multiple data layers

Graphs and Charts

• Comparative bar charts — comparing variables between two places
• Population pyramids — comparing age-sex structures
• Radar diagrams — comparing multiple place characteristics simultaneously
• Scatter graphs with trend lines — showing relationships (e.g., distance from CBD vs. house price)
• Diverging bar charts — showing perception survey results (agree/disagree)

Qualitative Displays

• Photograph panels with analytical annotations — not merely descriptive captions
• Interview quotation boxes — selected quotations illustrating key themes, with brief contextual commentary
• Mental map composites — overlaying multiple mental maps to identify common features and differences
• Word clouds — visual summaries of frequently used words in interviews or surveys
• Narrative vignettes — short, vivid descriptions of place experience drawn from fieldwork observations

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A worked place enquiry, end to end

To make the route concrete, here is a complete worked example of a place/urban investigation suitable for the NEA.

1. Aim / question

"To what extent does environmental quality decline with distance from the regenerated waterfront in [Town], and how does this relate to residents' perceptions of the area?" This question is strong because it is specific, permits both quantitative (environmental-quality scores, distance) and qualitative (perception) data, links to theory (bid-rent and re-imaging, Lessons 1 and 8), and enables a statistical test (Spearman's rank).

2. Background research (secondary data)

Compile census and IMD profiles of the wards, historical OS maps and aerial imagery (to document the pre-regeneration dockland), local-authority regeneration plans, and house-price data — establishing context before going into the field.

3. Methodology and sampling design

Decision	Choice	Justification
Sampling sites	Systematic transect — survey every 200 m along a 2 km line inland from the waterfront (11 sites)	Even spatial coverage; ideal for testing a distance-decay relationship
Environmental-quality data	Environmental Quality Survey (EQS) — score 8 criteria (litter, graffiti, building condition, greenery, noise, etc.) on a −2 to +2 scale at each site	Quantifies the built environment systematically and replicably
Reducing subjectivity	Two researchers score independently and average; same time of day; clear scoring descriptors	EQS is subjective, so inter-rater averaging improves reliability
Perception data	Stratified perception survey (by age band) + 6 semi-structured interviews	Captures lived experience; stratification compares groups (Lesson 7)
Timing	Repeat the EQS on a weekday and a weekend	One snapshot may not be representative

This design deliberately combines systematic (for spatial coverage and the distance test), stratified (to compare age groups) and purposive (interviewees with specific knowledge) sampling — and names why each is used, which is exactly what the NEA's "methods" criterion rewards.

4–6. Worked analysis with Spearman's rank

The EQS produced a total environmental-quality score at each of 8 representative sites along the transect; we test the hypothesis that environmental quality declines with distance from the waterfront. We rank distance (1 = nearest) and EQS score (1 = highest quality).