Accounting for and Predicting the Influence of Spatial Autocorrelation in Water Quality Modeling
Several studies in the hydrology field have reported differences in outcomes between models in which spatial autocorrelation (SAC) is accounted for and those in which SAC is not. However, the capacity to predict the magnitude of such differences is still ambiguous. In this study, we hypothesized tha...
Main Authors: | Lorrayne Miralha, Daehyun Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-02-01
|
Series: | ISPRS International Journal of Geo-Information |
Subjects: | |
Online Access: | http://www.mdpi.com/2220-9964/7/2/64 |
Similar Items
-
Understanding Spatial Autocorrelation: An Everyday Metaphor and Additional New Interpretations
by: Daniel A. Griffith
Published: (2023-08-01) -
Spatial Autocorrelation of COVID-19 in Slovakia
by: Katarína Vilinová, et al.
Published: (2023-05-01) -
Spatial Autocorrelation in the Analysis of the Land Property Market on the Example of Szczecin and Bydgoszcz
by: Barbara Batóg, et al.
Published: (2017-09-01) -
Explaining COVID-19 contagion in Portuguese municipalities using spatial autocorrelation models
by: Paulo Mourao, et al.
Published: (2021-05-01) -
A Simple Test of Spatial Autocorrelation for Centered Variables
by: Jesús Mur
Published: (2021-05-01)