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what was our hypothesis for environmental quality
-environmental quality will increase with distance from the CBD as land use will become cheaper and so there’s more open spaces
what was our hypothesis for land use
-land use will change from retailing/services to residential as we go further away from the CBD
what did we conduct
-environmental quality survey(quantitative)
-land use survey(quantitative)
-questionnaires(qualitative)
which sampling strategy did we use
-systematic for land use survey
-systematic for environmental quality survey
-opportunistic for questionnaires
how did we conduct our land use survey
-walked around a section of high wycombe and at every 20m intervals we classified building types/uses
how did we conduct our environmental quality survey
-walked along a transect through high wycombe, securing points in individual categories from -5 to 5
what was our results for land-use
-hypothesis correct as land use did get more residential the further out we got from the CBD
-higher demand/less space in the CBD and so it’s more commercial with big brands
what was our results for environmental quality
-the environmental quality decreased the further away we got from the CBD
-this disproved our hypothesis as the CBD is kept in good conditions due to higher economic activity and so is in better care
-this is probably due to the small scale of the investigation
what factors affect the reliability of our results
-sample size
-sampling strategy
-time of day / year
-location
-equipment
-subjective or objective
-human activity
assess the reliability for these given factors
-sample size: small group/area
-sampling strategy: systematic misses out key points
-time of day/year: may have affected the people we questionned
-location: all locations are different
-equipment: could’ve been biased
-subjective or objective: environmental quality is subjective
what went well with a land use survey
Quick and easy to complete.
Clear patterns shown on maps.
Mostly objective observations.
Good for identifying CBD vs residential zones
what are the faults with a land-use survey
Mixed-use buildings hard to classify.
Only shows land use at one time.
Limited area reduces reliability.
Possible recording errors
what improvements could be made with a land-use survey
Add a mixed-use category.
Repeat at different times/days.
Survey more locations.
Use photos or GIS for accuracy.
what went well with an environmental quality survey
Easy comparison between sites.
Provides a full picture of quality.
Data easy to graph/map.
Quick group data collection.
what are some faults with an environmental quality survey
Subjective scoring.
Weather/time affects results.
Unclear criteria causes inconsistency.
Few sites reduce reliability.
what are some improvements for an environmental quality survey
Use clear scoring guidelines.
Survey at same time/conditions.
Increase number of sites.
Use sound meters/apps for objectivity.
what went well with a questionnaire
First-hand opinions.
Easy to analyse closed questions.
Shows perceptions of safety/quality.
Identifies differences between groups.
what are some faults with a questionnaire
Small sample size.
Sampling bias.
Dishonest or rushed answers.
Limited depth from closed questions.
what are some improvements for the questionnaire
Increase sample size.
Use random sampling.
Survey at different times.
Add open-ended questions.
what graph did we use for our data
-compound/divided bar chart for land use
-radar graph for environmental quality
what are the pros of a radar graph
Shows multiple variables on one diagram.
Easy to compare environmental quality between sites.
Visual shape makes patterns clear.
Good for identifying strengths/weaknesses of locations.
what are the cons of a radar graph
Can be hard to read if too many sites are plotted.
Not precise for exact values.
Overlapping lines can be confusing.
Time-consuming to draw accurately.
what are the pros of a divided bar chart
Clearly shows proportions within a whole.
Easy to compare categories between locations.
Good for percentage data.
Simple to interpret.
what are the cons of a divided bar chart
Hard to compare individual segments across bars.
Can become cluttered with many categories.
Requires accurate percentage data.
Small differences are difficult to see.
what are some stats for land-use?
🛍 Retail: 66%
🏢 Services (banks, salons, offices): 18%
🍽 Food & drink: 10%
🏠Residential: 6%
what are some stats for environmental quality
-inner areas closer to CBD scored mostly 4s on environmental quality
-factors we assessed were: noise, building upkeep, vegetation, litter, paving/road and vandalism/graffiti
what are some secondary data sources
-online maps
-census data
-environmental data (DEFRA/local air quality reports)
how can these help us in our investigation
-online maps show land use patterns, street layours, location of services
-census data shows population density, employment structure, age structure
-environmental data shows air pollution levels and traffic pollution levels
what improvements could’ve been made with the radar graph
Limit the number of sites plotted → reduces overlap and improves readability.
Use consistent scales on all axes → ensures fair comparison.
Label axes clearly with factors (noise, litter, greenery).
Use colour coding or a key → makes it easier to distinguish sites.
Plot average scores instead of individual results → simplifies interpretation.
what improvements could’ve been made with the divided bar chart
Use clear percentage labels on each segment → improves accuracy.
Limit number of categories → prevents clutter.
Arrange bars in a logical order (e.g. CBD → suburbs) → shows patterns.
Use consistent shading/colours with a clear key.
Ensure bars are the same width for fair comparison.
what were some hazards in our investigation
-dog bites
-cobbles
-cars
how did we overcome our hazards
-stay away from dogs
-take care when walking and wear suitable footwear
-look when crossing