Results 61 to 70 of about 6,631 (202)

Environmental drivers influencing the ambrosia beetle community: The primary role of geographic and climatic drivers in chestnut‐growing areas

Agricultural and Forest Entomology, EarlyView.
Ethanol‐baited traps were placed in cultivated chestnut orchards (a) and mixed environments with assorted tree composition (b), over a 2‐year monitoring period in two valleys (NW Italy). A total of 118,286 ambrosia beetles was collected, representing six species.
Eleonora Vittoria Fontana, Chiara Ferracini   +1 more
wiley   +1 more source

An Optimized Multi‐Stage Drainage Cannula Design for Venoarterial Extracorporeal Membrane Oxygenation

Artificial Organs, EarlyView.
This study utilized an extensive optimization involving n = 540 design of experiments to produce a superior drainage cannula design. Compared to the clinically used Maquet model, our optimized design demonstrated reduced blood stagnation volumes, increased cannula tip velocities, and higher upper body drainage, potentially minimizing risk of thrombosis
Avishka Wickramarachchi, Mehrdad Khamooshi, Aidan Burrell, Shaun D. Gregory   +3 more
wiley   +1 more source

A comparative study of interpolation methods for the development of ore distribution maps

Discover Geoscience
Mining projects require precise knowledge about tonnage and quality of ore reserves for planning and decision-making. This is hard to establish as exploration operations, which are costly, time-consuming and require an accurate description of the deposit.
Mahinaz M. Shawky
doaj   +1 more source

Reconnaissance‐Scale Methods for the Identification of Groundwater Discharge to Streams

Groundwater Monitoring &Remediation, EarlyView.
Abstract Identifying groundwater discharge locations is critical for understanding and monitoring groundwater contributions to streams in terms of water quantity and quality. Streams and rivers are under increasing strain from factors, including increased urbanization, agricultural land use, groundwater extraction, and climate change, which can alter ...
Corey M. Zanatta, Andrew J. Wiebe, David L. Rudolph   +2 more
wiley   +1 more source

Computationally Efficient Ranking of Sampling Locations by Redundancy in Groundwater Monitoring Networks

Groundwater Monitoring &Remediation, EarlyView.
Abstract The long‐term and frequent sampling of groundwater monitoring networks is common practice for monitoring the concentrations of constituents of potential concern (CoPC) over space and time. Sampling can be a costly and time‐intensive process that also incurs health and safety risks. A redundancy‐based ranking of candidate sampling locations can
Peter Radvanyi, Claire Miller, Craig Alexander, Marnie Low, Luc Rock, Wayne Jones   +5 more
wiley   +1 more source

Exploratory disease mapping: kriging the spatial risk function from regional count data

International Journal of Health Geographics, 2004
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

On Spatial Point Processes With Composition‐Valued Marks

International Statistical Review, EarlyView.
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, Mari Myllymäki, Sonja Greven   +2 more
wiley   +1 more source

Spatio-Temporal Median Polish Kriging with ARIMA Integration for Monthly Precipitation Interpolation in East Kalimantan

JTAM (Jurnal Teori dan Aplikasi Matematika)
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, Rahma Fitriani, Henny Pramoedyo   +2 more
doaj   +1 more source

Mapping High‐Rate Clusters of Animal Contact‐Related Human Salmonella enterica Single‐State Outbreaks in the United States, 2009–2022: A Spatial Epidemiological Approach to Inform Public Health Surveillance

Zoonoses and Public Health, EarlyView.
ABSTRACT Introduction Nontyphoidal Salmonella enterica (NTS) is a major zoonotic enteric pathogen. Animal contact‐related NTS outbreaks have increased in the United States over the last decade. Geospatial analysis can identify locations with elevated risk of NTS outbreaks where public health authorities can focus their NTS prevention and intervention ...
Hammad Ur Rehman Bajwa, Suman Bhowmick, Csaba Varga   +2 more
wiley   +1 more source

Deep Spatially Varying Coefficient Model for Interpolation of Non‐Stationary Meteorological Data

Environmetrics, Volume 37, Issue 6, September 2026.
ABSTRACT In spatial statistics, the spatially varying coefficient model (SVCM) is widely applied in the analysis and interpolation of non‐stationary spatial data. By incorporating spatially varying coefficients, the model can capture spatial heterogeneity and provide an attractive interpretation of response‐covariate associations.
Tong Wu, Nan Chen, Zhi‐Sheng Ye
wiley   +1 more source