Human Fieldwork Flashcards
What is the title of our Human Fieldwork Enquiry?
To investigate climate change mitigation in purbeck.
What is the hypothesis of our Human Fieldwork Enquiry?
The community of Purbeck actively support the switch to renewable energy.
What was the location for the human fieldwork enquiry and what justification is there for it?
Swanage:
- interesting demographic with high % elderly and wealthy. Wanted to see how this affected support for EVs and investment in clean tech.
- large population size and density which is good for a two hour window of surveying
- it has an AONB which could impact the introduction of renewables
- a proposed offshore wind farm was rejected which shows knowledge and opinions on renewables.
-overall a safe area to be in.
What was the risk assessment for our human fieldwork?
- risks of road traffic incidents were mitigated by students conducting questionnaires in pedestrianised parts and teachers carried first aid kits just in case.
- risks of dangerous people were mitigated by minimum groups if three.
How does NIMBYism relate to our human fieldwork enquiry?
- Not In My Back Yard refers to the concept where people straight away reject the in this case renewable energy changes that happen near their home.
- this can be rightly or wrongly due to noise/ view pollution of wind or solar farms.
How does the Climate Change Act 2008 link to the human fieldwork project?
- legally commits the uk to reach net zero by 2050
- there is a ban on the sale of new petrol and diesel vehicles in 2035 which could impact the decisions made by the population of swanage.
What were the three data collection methods of our human fieldwork enquiry?
- primary data- questionnaires with locals
- secondary data- satellite images of properties to identify % of solar panel use.
- Secondary data- thematic maps showing EV charging points and commercial solar/ wind farms.
What was the methology like of our human fieldwork questionnaire.
- we had closed qualifying questions to quickly see who the person is and what type of resident they were. We did this by age and gender.
- we collected quantitative data by asking whether they had an EV or not etc which could be represented by pie/ bar charts.
How effective was the questionnaire data presentation?
- we presented the closed question data in pie, bar and stacked bar charts which gave a quantity to show the amount of local support for renewable energy.
- we found it hard, using out approach, to represent the open ended questions.
- using Microsoft Excel we reduced the risk of human error.
What was the effectiveness of the collection and representation of our satellite images?
-Using printed out satellite images of a sample in Swanage, we counted the number of houses that had solar panels installed out of the total there to work out an estimate for the percentage.
- it wasn’t very effective because the images were quite blurry and it was hard to make out the difference between conservatives and panels which would lead to an overestimate.
