Results 71 to 80 of about 32,562 (111)
Exploratory disease mapping: kriging the spatial risk function from regional count data
Background There is considerable interest in the literature on disease mapping to interpolate estimates of disease occurrence or risk of disease from a regional database onto a continuous surface.
Berke Olaf
doaj +1 more source
Kriging Metamodeling in Simulation: A Review [PDF]
This article reviews Kriging (also called spatial correlation modeling). It presents the basic Kriging assumptions and formulas contrasting Kriging and classic linear regression metamodels.
Kleijnen, J.P.C.
core +1 more source
ABSTRACT Flooding remains one of the most critical natural hazards threatening livelihoods, infrastructure, and ecological systems in Ethiopia's highland landscapes. This study presents a rigorously integrated, multi‐criteria flood risk assessment that combines the Analytical Hierarchy Process (AHP) with GIS‐based spatial modeling to delineate ...
Degfie Teku +3 more
wiley +1 more source
Abstract Climate change, expanding human ignitions, and increased fuels from fire exclusion are driving increases in area burned and fire severity in dry conifer forests of the western United States. Increasing area burned is occurring against the backdrop of a large fire deficit caused by over a century of fire exclusion.
C. A. Farris +7 more
wiley +1 more source
Ordinary kriging for on-demand average wind interpolation of in-situ wind sensor data
We have developed a domain agnostic ordinary kriging algorithm accessible via a standards-based service-oriented architecture for sensor networks. We exploit the Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) standards.
Middleton, S.E., Veres, G., Zlatev, Z.
core
Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study
Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali +6 more
wiley +1 more source
ABSTRACT Background and Aims Pediatric systemic lupus erythematosus (SLE) is a complex autoimmune disease influenced by genetic and environmental factors such as sunlight and temperature. This retrospective study investigated the association between meteorological and geographical factors and active pediatric SLE in Fars province, southwest Iran ...
Zahra Kanannejad +6 more
wiley +1 more source
Strong warming trends have been identified across the Iberian Peninsula, particularly since the 1980s and across all seasons. Increases in minimum temperature dominate at low‐altitude urban stations (below 250 m), while the most pronounced maximum temperature trends occur at elevations above 1500 m, especially in summer.
David Corell +4 more
wiley +1 more source
A Stochastic Approach to Quantifying the Propagation of Uncertainty in Soil Organic Carbon Content
ABSTRACT Background Precision agriculture (PA) is a site‐specific management approach that utilises spatiotemporal information to improve productivity while also promoting sustainability. Accurate estimates of soil properties, along with the uncertainty of these estimates, are necessary for decision‐making in PA.
Leonardo Inforsato +6 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

