Geographically weighted regression models for ordinal categorical response variables: An application to geo-referenced life satisfaction data
- Submitting institution
-
The University of Liverpool
- Unit of assessment
- 14 - Geography and Environmental Studies
- Output identifier
- 13023
- Type
- D - Journal article
- DOI
-
10.1016/j.compenvurbsys.2018.01.012
- Title of journal
- Computers, Environment and Urban Systems
- Article number
- -
- First page
- 35
- Volume
- 70
- Issue
- -
- ISSN
- 0198-9715
- Open access status
- Compliant
- Month of publication
- February
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
https://ars.els-cdn.com/content/image/1-s2.0-S0198971517304283-mmc1.zip
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
B - Geographic Data Science Lab
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
