Using Auxiliary Population Samples for Sample-Selection Correction in Models Based on Crowd-Sourced Volunteered Geographic Information

Data from citizen science (CS) projects (and some social media) can offer selected samples with extensive information about human interactions with the natural world. Independently, we elicit levels of engagement with the eBird project from members of the eBird CS project and from a general-populati...

Full description

Saved in:
Bibliographic Details
Published in:Land economics 2022-02, Vol.98 (1), p.1-21
Main Authors: Cameron, Trudy Ann, Kolstoe, Sonja H.
Format: Article
Language:English
Subjects:
Crowdsourcing
Natural environment
Social media
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Data from citizen science (CS) projects (and some social media) can offer selected samples with extensive information about human interactions with the natural world. Independently, we elicit levels of engagement with the eBird project from members of the eBird CS project and from a general-population sample. The general-population sample allows an ordered-probit model to explain propensities to engage with eBird at different levels, which we transfer to predict selection-correction terms for our independent sample of eBird members. We illustrate our method with a question posed only to our eBird-member survey sample about the radii of their individual spatial consideration sets for typical one-day birding excursions.
ISSN:0023-7639
1543-8325
DOI:10.3368/le.98.1.040720-0050R1