We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Cokriging Prediction Using as Secondary Variable a Functional Random Field with Application in Environmental Pollution.
- Authors
Giraldo, Ramón; Herrera, Luis; Leiva, Víctor
- Abstract
Cokriging is a geostatistical technique that is used for spatial prediction when realizations of a random field are available. If a secondary variable is cross-correlated with the primary variable, both variables may be employed for prediction by means of cokriging. In this work, we propose a predictive model that is based on cokriging when the secondary variable is functional. As in the ordinary cokriging, a co-regionalized linear model is needed in order to estimate the corresponding auto-correlations and cross-correlations. The proposed model is utilized for predicting the environmental pollution of particulate matter when considering wind speed curves as functional secondary variable.
- Subjects
FORECASTING; POLLUTION; RANDOM variables; PARTICULATE matter; WIND speed; RANDOM fields; MARKOV random fields
- Publication
Mathematics (2227-7390), 2020, Vol 8, Issue 8, p1305
- ISSN
2227-7390
- Publication type
Article
- DOI
10.3390/math8081305