Results 121 to 130 of about 32,345 (261)
Spatial Predictions of Cover Attributes of Rangeland Ecosystems Using Regression Kriging and Remote Sensing [PDF]
Jason W. Karl
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Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen +4 more
wiley +1 more source
Complex Mean and Variance of Linear Regression Model for High-Noised Systems by Kriging [PDF]
Tomasz Suslo
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The Legacy of Colonial‐Era Urban Planning on Present Day Air Quality Disparities in Kampala, Uganda
Abstract British colonial urban planners in Kampala, Uganda, designed segregated neighborhoods for Europeans, Asians, and Africans, under the colonial public health guidance. No studies have investigated how these historical urban design decisions relate to modern air pollution exposure disparities in African cities.
Dorothy Lsoto +8 more
wiley +1 more source
Comparison of Gaussian process modeling software [PDF]
Gaussian process fitting, or kriging, is often used to create a model from a set of data. Many available software packages do this, but we show that very different results can be obtained from different packages even when using the same data and model ...
Ankenman, Bruce E. +2 more
core +2 more sources
FUSION OF HYPERSPECTRAL AND MULTISPECTRAL IMAGERY WITH REGRESSION KRIGING AND THE LULU OPERATORS; A COMPARISON [PDF]
N. Jeevanand +2 more
openalex +1 more source
Survey data describing land cover information such as type and diversity over several decades are scarce. Therefore, our capacity to reconstruct historical land cover using field data and archived remotely sensed data over large areas and long periods of
Amir Reza Shahtahmassebi +17 more
doaj +1 more source
To improve the accuracy of soil organic carbon (SOC) mapping, an adaptive zoning regression kriging (AZ_RK) framework was proposed, which simultaneously considers spatial heterogeneity and the influence of multiple environmental variables.
Xiaomi Wang +4 more
doaj +1 more source
Soil heterogeneity and acidity are major constraints to Coffea arabica production in the Amazonian soils of Peru. This study developed a spatial predictive framework that integrates a weighted Soil Quality Index (SQIw) and geostatistical modelling ...
Henry Diaz-Chuquizuta +8 more
doaj +1 more source
Consequences of kriging and land use regression for PM2.5 predictions in epidemiologic analyses: insights into spatial variability using high-resolution satellite data [PDF]
Stacey Alexeeff +5 more
openalex +1 more source

