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Area-to-point Kriging with inequality-type data

Author

Listed:
  • E.-H. Yoo
  • P. Kyriakidis

Abstract

No abstract is available for this item.

Suggested Citation

  • E.-H. Yoo & P. Kyriakidis, 2006. "Area-to-point Kriging with inequality-type data," Journal of Geographical Systems, Springer, vol. 8(4), pages 357-390, October.
    • Handle: RePEc:kap:jgeosy:v:8:y:2006:i:4:p:357-390
    DOI: 10.1007/s10109-006-0036-7
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    Citations

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    Cited by:

    1. Morito Tsutsumi & Daisuke Murakami, 2014. "New Spatial Econometrics–Based Areal Interpolation Method," International Regional Science Review, , vol. 37(3), pages 273-297, July.
    2. Jun Wang & Yang Wang & Hui Zeng, 2016. "A geostatistical approach to the change-of-support problem and variable-support data fusion in spatial analysis," Journal of Geographical Systems, Springer, vol. 18(1), pages 45-66, January.
    3. Veiga, Sébastien Da & Marrel, Amandine, 2020. "Gaussian process regression with linear inequality constraints," Reliability Engineering and System Safety, Elsevier, vol. 195(C).
    4. Marc Grossouvre & Didier Rullière, 2022. "Mixture Kriging on granular data [Krigeage de distributions de mélanges pour des données granulaires]," Working Papers hal-03276127, HAL.

    More about this item

    Keywords

    Spline interpolation; Quadratic programming; Coherence; Downscaling; C51; C61; C0; C13;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C0 - Mathematical and Quantitative Methods - - General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General

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