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Regression‐based covariance functions for nonstationary spatial modeling

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  • Mark D. Risser
  • Catherine A. Calder

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  • Mark D. Risser & Catherine A. Calder, 2015. "Regression‐based covariance functions for nonstationary spatial modeling," Environmetrics, John Wiley & Sons, Ltd., vol. 26(4), pages 284-297, June.
    • Handle: RePEc:wly:envmet:v:26:y:2015:i:4:p:284-297
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    Cited by:

    1. Miryam S. Merk & Philipp Otto, 2022. "Estimation of the spatial weighting matrix for regular lattice data—An adaptive lasso approach with cross‐sectional resampling," Environmetrics, John Wiley & Sons, Ltd., vol. 33(1), February.
    2. Lyndsay Shand & Bo Li, 2017. "Modeling nonstationarity in space and time," Biometrics, The International Biometric Society, vol. 73(3), pages 759-768, September.
    3. Xu, Hao & Gardoni, Paolo, 2020. "Conditional formulation for the calibration of multi-level random fields with incomplete data," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    4. Esmail Yarali & Firoozeh Rivaz, 2020. "Incorporating covariate information in the covariance structure of misaligned spatial data," Environmetrics, John Wiley & Sons, Ltd., vol. 31(6), September.

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