Cargando…
A comparison of least squares regression and geographically weighted regression modeling of West Nile virus risk based on environmental parameters
BACKGROUND: The primary aim of the study reported here was to determine the effectiveness of utilizing local spatial variations in environmental data to uncover the statistical relationships between West Nile Virus (WNV) risk and environmental factors. Because least squares regression methods do not...
Autores principales: | Kala, Abhishek K., Tiwari, Chetan, Mikler, Armin R., Atkinson, Samuel F. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5372833/ https://www.ncbi.nlm.nih.gov/pubmed/28367364 http://dx.doi.org/10.7717/peerj.3070 |
Ejemplares similares
-
Quasi-least squares regression
por: Shults, Justine, et al.
Publicado: (2014) -
Exploring the socio-economic and environmental components of infectious diseases using multivariate geovisualization: West Nile Virus
por: Kala, Abhishek K., et al.
Publicado: (2020) -
Mahalanobis distances and ecological niche modelling: correcting a chi-squared probability error
por: Etherington, Thomas R.
Publicado: (2019) -
Implications of Nonstationary Effect on Geographically Weighted Total Least Squares Regression for PM(2.5) Estimation
por: Mokhtari, Arezoo, et al.
Publicado: (2021) -
Genome size versus geographic range size in birds
por: Grzywacz, Beata, et al.
Publicado: (2021)