Swiss Public Forest Attitude Surveys from 2010 and 2020
Updated 4y ago
Available on 1 platform
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Description
ENVIDAT provides merged survey data from the WaMos2 (2010) and WaMos3 (2020) assessments of the Swiss population's relationship to forests. The dataset examines attitudes towards recreation, wood production, protective and ecological functions, and includes a specific focus on climate change and, for the first time, adolescents aged 15-18. The repository also contains two Corona-related surveys conducted during the WaMos3 phase.
Use Cases
Analyze trends in public attitudes towards forest recreation areas between the 2010 and 2020 survey waves.
Model the relationship between demographic features and views on wood production or the ecological functions of forests.
Compare adult and adolescent (15-18 years) perspectives on climate change as it relates to forests.
Study the impact of the COVID-19 pandemic on forest use and perception using the included Corona-related survey data.
Strengths
Combines two national survey waves from 2010 and 2020 for longitudinal analysis.
Includes a novel sample focusing on adolescents aged 15-18 years.
Provides documented metadata and R scripts for data processing and merging.
Limitations
Specific sample sizes, row counts, and column details for the merged dataset are not provided.
Geographic coverage is limited exclusively to Switzerland, limiting generalizability.
The most recent core survey data is from 2020, which may not reflect post-2020 societal shifts.
Provenance
Source
ENVIDAT, the environmental data portal of the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL).
Collection Method
Social survey assessments (WaMos2 and WaMos3) conducted via sampling of the Swiss population.
Time Range
Primary surveys from 2010 and 2020, with additional Corona surveys within the 2020 phase.
Freshness
Last updated on the platform in 2022, with core survey data from 2020.
Geography
Switzerland.
Data merging and sampling procedures are detailed in a separate PDF metadata file; an R script is provided for sample processing.