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Showing 1 to 8 of 8 for “"Regression-kriging"”.

  1. Three-Dimensional Distance Based Geostatistical Models to Adjust Radar Rainfall Data

    … distances based geostatistical models, such as Regression Kriging (RK) and Merging methods, to perform the adjustments of radar rainfall data to the targeted gauge measurements. These models are tested at the Chenyulan River watershed using the rainfall events of five typhoons landed Taiwan in …

    houston Repository record for Three-Dimensional Distance Based Geostatistical Models to Adjust Radar Rainfall Data (opens in a new tab)

  2. Multi-scale satellite-derived soil moisture modeling across space and time

    … Geostatistical approaches, namely ordinary kriging (OK), regression kriging (RK), and generalized linear models (GLMs), are explored to model soil moisture, and fill spatial gaps in satellite-derived data. The study supports the use of geostatistical techniques as effective alternatives for …

    udel Repository record for Multi-scale satellite-derived soil moisture modeling across space and time (opens in a new tab)

  3. Enhancement of unconventional oil and gas production forecasting using mechanistic-statistical modeling

    … geological productivity as a latent variable. A regression-kriging technique is shown to effectively disentangle technology from geology--which play roughly equal roles--and reduce error in initial well productivity predictions by more than a third compared to established methods. Long-term …

    mit Repository record for Enhancement of unconventional oil and gas production forecasting using mechanistic-statistical modeling (opens in a new tab)

  4. Scalable learning for geostatistics and speaker recognition

    … enhance the computational performance of kernel regression is proposed. These methods are then demonstrated on problems arising in geostatistics and speaker recognition. In geostatistics, data is often collected at scattered locations and factors like instrument malfunctioning lead to missing …

    maryland Repository record for Scalable learning for geostatistics and speaker recognition (opens in a new tab)

  5. Impacts of forest harvesting on the performance of soil-landscape modelling in a radiata pine forest, northern New Zealand

    … soil-landscape modelling techniques (multilinear regression and regression kriging), and one geostatistical technique ( ordinary kriging) were investigated. All sub-studies were undertaken primarily within two separate, but essentially adjacent 5-ha sampling plots. One plot was under first …

    waikato-masters Repository record for Impacts of forest harvesting on the performance of soil-landscape modelling in a radiata pine forest, northern New Zealand (opens in a new tab)

  6. A comparison of spatial interpolation techniques in temperature estimation

    … temperature. Due to the additional effort kriging and cokriging entails, it was decided to compare the effectiveness of kriging and cokriging in estimating mean, maximum, and minimum temperature at unsampled locations with less computationally intensive interpolation techniques such as …

    vt Repository record for A comparison of spatial interpolation techniques in temperature estimation (opens in a new tab)

  7. Development of national extent terrain attributes (TANZ), soil water balance surfaces (SWatBal), and environmental surfaces, and their application for spatial modelling of Pinus radiata productivity across New Zealand

    … requirements. A partial least squares (PLS) regression technique was used to develop the surfaces of (i) stem volume mean annual increment at age thirty years for a defined reference regime of 300 stems ha-1 (300 Index), and (ii) mean top height at age twenty (Site Index) using TANZ, SWatBal …

    waikato-masters Repository record for Development of national extent terrain attributes (TANZ), soil water balance surfaces (SWatBal), and environmental surfaces, and their application for spatial modelling of Pinus radiata productivity across New Zealand (opens in a new tab)