Results 91 to 100 of about 37,687 (235)
On Spatial Point Processes With Composition‐Valued Marks
Summary Methods for marked spatial point processes with scalar marks have seen extensive development in recent years. While the impressive progress in data collection and storage capacities has yielded an immense increase in spatial point process data with highly challenging non‐scalar marks, methods for their analysis are not equally well developed ...
Matthias Eckardt +2 more
wiley +1 more source
Precipitation can lead to disasters like droughts and floods, necessitating accurate interpolation methods. Traditional spatio-temporal kriging often struggles with outliers, which can reduce estimation reliability.
Friendtika Miftaqul Jannah +2 more
doaj +1 more source
On Prediction Properties of Kriging: Uniform Error Bounds and Robustness
Kriging based on Gaussian random fields is widely used in reconstructing unknown functions. The kriging method has pointwise predictive distributions which are computationally simple. However, in many applications one would like to predict for a range of
Tuo, Rui, Wang, Wenjia, Wu, C. F. Jeff
core +1 more source
ABSTRACT Species distribution models (SDMs) are widely used to predict the spread of invasive species, yet their accuracy over time and the influence of climate data resolution remain unclear. Here, we examine the capacity of SDMs to predict the distribution and short‐term expansion of the invasive gall wasp Dryocosmus kuriphilus, and compare the ...
José Carlos Pérez‐Girón +3 more
wiley +1 more source
Coastline Kriging: A Bayesian Approach
Statistical interpolation of chemical concentrations at new locations is an important step in assessing a worker's exposure level. When measurements are available from coastlines, as is the case in coastal clean-up operations in oil spills, one may need ...
Abdalla, Nada +4 more
core +1 more source
ABSTRACT Terrigenous sediments are transported from coastal areas and shelves to deeper continental margins by multiple processes. Understanding these processes is critical for evaluating the ecological impacts of fine‐grained sediment deposition and predicting future changes in sediment dispersal under rapid climate change.
Gyu Tae Sim +5 more
wiley +1 more source
Application of Moving Kriging Shape Functions on Plate Problems
The Moving Kriging (MK) interpolation was recently proposed as a superior substitution of the Moving Least Square (MLS) approximation in the construction of shape functions for the Element-Free Galerkin Method (EFGM).
Shazim Ali Memon +2 more
doaj +1 more source
ABSTRACT Purpose We aim to inform the design of new diffusion MRI (dMRI) approaches for microvasculature quantification that enhance the biological specificity of imaging towards cancer. Methods We adopted simulation‐informed modelling of the vascular dMRI signal. We synthesised signals from 1500 synthetic vascular networks, for a variety of protocols (
Anna Kira Voronova +11 more
wiley +1 more source
Kriging Interpolation Evaluation of Vapor Pressure Deficit in Plant Factory with Solar Light
To maximize the growth of plants, controlling VPD is applied by fog cooling in a plant factory with solar light. The spatial data of environmental information cannot be obtained without interpolation among the detected values by the allocated sensors. In
Takashi Koga +3 more
doaj +1 more source
Abstract Vegetation indices (VIs), such as normalized difference vegetation index (NDVI), are widely used to assess nitrogen (N) status in crop systems and are gaining interest in turfgrass management. However, most studies have been conducted in controlled settings, and their relevance under real‐world golf course conditions remains unclear.
Madan Sapkota +7 more
wiley +1 more source

