pplnat: People and Nature Survey for England, 2020-2023
In ddauber/r4np: R for Non-Programmers Companion
pplnat R Documentation
People and Nature Survey for England, 2020-2023
Description
The People and Nature Survey for England is a study conducted to gather
data on how people use, enjoy, and benefit from the natural environment in England.
Usage
pplnat
Format
A data frame with 3585 rows and 19 variables:
- region
Different regions in England where data was collected.
- wave
Data was collected in several waves. This provides opportunities to analyse data over time.
- time_in_green
Item: In the last 12 months, how often, on average have you spent free time
outside in green and natural spaces?
- ncs_easy_walking_distance
Item: How much do you agree or disagree with the following statements
relating to green and natural spaces locally: Within easy walking distance.
| 1 ("Strongly disagree") to 5 = ("Strongly agree").
- ncs_relax_unwind
Item: How much do you agree or disagree with the following statements relating
to green and natural spaces locally: Places where I can relax and unwind.
| 1 ("Strongly disagree") to 5 = ("Strongly agree").
- ncs_high_enough_standard
Item: How much do you agree or disagree with the following statements
relating to green and natural spaces locally: A high enough standard to want
to spend time in.
| 1 ("Strongly disagree") to 5 = ("Strongly agree").
- imp_protect_environment
Item: How important is protecting the environment to you personally?
| 1 ("Not at all important") to 5 = ("Very important").
- concerned_damaging_environment
Item: How much do you agree or disagree with the following
statement? I am concerned about damage to the natural environment.
| 1 ("Not at all important") to 5 = ("Very important").
- pick_up_litter
Item: How often do you do the actions below when you have the opportunity?
When I see litter, I pick it up.
| 1 ("Never") to 5 = ("Always / whenever I have the opportunity").
- vote_political_party
Item: How often do you do the actions below when you have the opportunity?
I vote for political parties with strong environmental policies
| 1 ("Never") to 5 = ("Always / whenever I have the opportunity").
- change_lifestyle
Item: Are you going to make changes to your lifestyle to protect the environment
(for example by recycling rather than throwing things away, using your car less and
buying local food)?
- wb_lonely
Item: How often do you feel lonely?
| 1 ("Never") to 5 = ("Often / always").
- wb_satisfied
Item: Overall, how satisfied are you with your life nowadays?
| 1 ("Not at all") to 10 = ("Completely").
- wb_worthwhile
Item: Overall, how worthwhile are the things you do in your life?
| 1 ("Not at all") to 10 = ("Completely").
- wb_happy
Item: How happy were you feeling yesterday?
| 1 ("Not at all") to 10 = ("Completely").
- wb_worried_anxious
Item: How anxious were you feeling yesterday?
| 1 ("Not at all") to 10 = ("Completely").
- wb_worried_anxious_r
This is the reverse-scored item for 'wb_worried_anxious'.
- ncs
Natural connectedness scale (latent variable based on 'ncs' items).
A higher score implies higher natural connectedness.
- wellbeing
Wellbeing (latent variable based on 'wb' items).
A higher score implies higher wellbeing
Source
Natural England. (2023). People and Nature Survey for England, 2020-2023: Open Access. 3rd Edition. UK Data Service. SN: 9092.
DOI: http://doi.org/10.5255/UKDA-SN-9092-3
ddauber/r4np documentation built on Jan. 15, 2025, 8:46 p.m.
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| pplnat | R Documentation |
People and Nature Survey for England, 2020-2023
Description
The People and Nature Survey for England is a study conducted to gather data on how people use, enjoy, and benefit from the natural environment in England.
Usage
pplnat
Format
A data frame with 3585 rows and 19 variables:
- region
Different regions in England where data was collected.
- wave
Data was collected in several waves. This provides opportunities to analyse data over time.
- time_in_green
Item: In the last 12 months, how often, on average have you spent free time outside in green and natural spaces?
- ncs_easy_walking_distance
Item: How much do you agree or disagree with the following statements relating to green and natural spaces locally: Within easy walking distance. | 1 ("Strongly disagree") to 5 = ("Strongly agree").
- ncs_relax_unwind
Item: How much do you agree or disagree with the following statements relating to green and natural spaces locally: Places where I can relax and unwind. | 1 ("Strongly disagree") to 5 = ("Strongly agree").
- ncs_high_enough_standard
Item: How much do you agree or disagree with the following statements relating to green and natural spaces locally: A high enough standard to want to spend time in. | 1 ("Strongly disagree") to 5 = ("Strongly agree").
- imp_protect_environment
Item: How important is protecting the environment to you personally? | 1 ("Not at all important") to 5 = ("Very important").
- concerned_damaging_environment
Item: How much do you agree or disagree with the following statement? I am concerned about damage to the natural environment. | 1 ("Not at all important") to 5 = ("Very important").
- pick_up_litter
Item: How often do you do the actions below when you have the opportunity? When I see litter, I pick it up. | 1 ("Never") to 5 = ("Always / whenever I have the opportunity").
- vote_political_party
Item: How often do you do the actions below when you have the opportunity? I vote for political parties with strong environmental policies | 1 ("Never") to 5 = ("Always / whenever I have the opportunity").
- change_lifestyle
Item: Are you going to make changes to your lifestyle to protect the environment (for example by recycling rather than throwing things away, using your car less and buying local food)?
- wb_lonely
Item: How often do you feel lonely? | 1 ("Never") to 5 = ("Often / always").
- wb_satisfied
Item: Overall, how satisfied are you with your life nowadays? | 1 ("Not at all") to 10 = ("Completely").
- wb_worthwhile
Item: Overall, how worthwhile are the things you do in your life? | 1 ("Not at all") to 10 = ("Completely").
- wb_happy
Item: How happy were you feeling yesterday? | 1 ("Not at all") to 10 = ("Completely").
- wb_worried_anxious
Item: How anxious were you feeling yesterday? | 1 ("Not at all") to 10 = ("Completely").
- wb_worried_anxious_r
This is the reverse-scored item for 'wb_worried_anxious'.
- ncs
Natural connectedness scale (latent variable based on 'ncs' items). A higher score implies higher natural connectedness.
- wellbeing
Wellbeing (latent variable based on 'wb' items). A higher score implies higher wellbeing
Source
Natural England. (2023). People and Nature Survey for England, 2020-2023: Open Access. 3rd Edition. UK Data Service. SN: 9092. DOI: http://doi.org/10.5255/UKDA-SN-9092-3
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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