The effect of interview location on the perception of Ecosystem Services provided by trees. A Polish case study. - Open Research Data - Bridge of Knowledge

Search

The effect of interview location on the perception of Ecosystem Services provided by trees. A Polish case study.

wersja 1.1

Description

Several survey research methods are available to study attitudes towards the environment, including: CAWI (computer-assisted Internet interview), CATI (computer-assisted telephone interview), CAPI (computer-assisted personal interview), and PAPI (paper-pencil interview). An increasingly popular CAWI approach is the geo-questionnaire – an internet survey combined with an interactive web-based map that links answers with geospatial information (e.g., the respondent's place of residence). It is used in social and geographical sciences as well as in spatial planning, as a means of communication with residents and of soliciting active participation in matters concerning their community. However, the popularity of mobile devices (phones, tablets) means that the location where a respondent completes a questionnaire may differ from their home location. Therefore, it is important to determine to what extent the place where a survey is completed influences the results obtained from a geo-questionnaire (GQ). The data set provided here was created to address  these questions.

In our research, we employed a GQ in which respondents indicated Ecosystem Services (ES) provided by trees in two types of locations: inside and outside of a building. To control age and level of education, we recruited students (age 18-25) for interviews, as they are a relatively homogenous group. We excluded students of biology and similar subjects, as they could have in-depth knowledge of the study topic, which could confound study results. Data are presented in aggregate form in hexagonal units with area 34,6 m2. Research was conducted in the spring of 2019 in two Polish academic cities: Gdańsk and Poznań.

 
Illustration of the publication

Dataset file

GeoQuestionnaire2019GdaPoz.zip
79.2 kB, S3 ETag 62bac81ed9710198b324d51e97016c92-1, downloads: 104
The file hash is calculated from the formula
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.

Example script for calculation:
https://github.com/antespi/s3md5
download file GeoQuestionnaire2019GdaPoz.zip

File details

License:
Creative Commons: by 4.0 open in new tab
CC BY
Attribution

Details

Year of publication:
2021
Verification date:
2021-11-27
Creation date:
2019
Dataset language:
English
Fields of science:
  • sociology (Social studies)
  • forestry (Agricultural sciences)
  • Earth and related environmental sciences (Natural sciences)
DOI:
DOI ID 10.34808/apm8-re13 open in new tab
Funding:
Series:
Verified by:
Gdańsk University of Technology

Keywords

References

Cite as

seen 251 times