Results 131 to 140 of about 20,996 (261)

Effect of magnification on determination of water retention curve using image‐based analysis

Agrosystems, Geosciences &Environment, Volume 9, Issue 1, March 2026.
Abstract The development of an image‐based method for determining soil water retention curves (WRCs) is effective for predicting infiltration processes into soil. We investigated the effects of microscopy magnification on image resolution for estimating WRCs. Images of the soil surface were acquired at magnification of 50×, 100×, and 200×.
Yuki Hayashi
wiley   +1 more source

Forecasting seasonality in prices of potatoes and onions: challenge between geostatistical models, neuro fuzzy approach and Winter method [PDF]

This paper, we studied the ability of geostatistical models (ordinary kriging (OK) and Inverse distance weighting (IDW)), adaptive neuro-fuzzy inference system (ANFIS) and Winter method for prediction of seasonality in prices of potatoes and onions in ...
Amiri, Arshia, Bakhshoodeh, Mohamad, Najafi, Bahaeddin   +2 more
core   +1 more source

Weathering the Storm: Legacies of Extreme Meteorological Events and Daily Weather Variability Shape the Skin Microbiota of the Endangered Golden Alpine Salamander Salamandra atra aurorae (Trevisan, 1982)

Ecology and Evolution, Volume 16, Issue 3, March 2026.
In 2018 the Vaia windstorm caused severe damage to much of the woodland habitat of the golden Alpine salamander (Salamandra atra aurorae), an endangered subspecies endemic to the Venetian Prealps, the consequences of which are still being understood. We profiled the bacterial and fungal skin microbiota of 56 golden Alpine salamanders from forest plots ...
Emily L. Pascoe, Federico Polli, Matteo Girardi, Michele Dalponte, Matteo Marcantonio, Antonio Romano, Luca Roner, Giulio Galla, Lucia Zanovello, Paolo Pedrini, Heidi C. Hauffe   +10 more
wiley   +1 more source

Clarifying space use concepts in ecology: Range vs. occurrence distributions

Ecology, Volume 107, Issue 3, March 2026.
Abstract Quantifying animal movements is necessary for answering a wide array of research questions in ecology and conservation biology. Consequently, ecologists have made considerable efforts to identify the best way to estimate an animal's home range, and many methods of estimating home ranges have arisen over the past half a century.
Jesse M. Alston, Christen H. Fleming, Michael J. Noonan, Marlee A. Tucker, Inês Silva, Cody Folta, Thomas S. B. Akre, Abdullahi H. Ali, Jerrold L. Belant, Dean Beyer, Niels Blaum, Katrin Böhning‐Gaese, Rogério Cunha de Paula, Jasja Dekker, Jonathan Drescher‐Lehman, Nina Farwig, Claudia Fichtel, Christina Fischer, Adam T. Ford, René Janssen, Florian Jeltsch, Peter M. Kappeler, Scott D. LaPoint, A. Catherine Markham, E. Patricia Medici, Ronaldo Gonçalves Morato, Ran Nathan, Kirk A. Olson, Bruce D. Patterson, Tyler R. Petroelje, Emiliano Esterci Ramalho, Sascha Rösner, Luiz Gustavo Rodrigues Oliveira‐Santos, Dana G. Schabo, Nuria Selva, Agnieszka Sergiel, Orr Spiegel, Wiebke Ullmann, Filip Zięba, Tomasz Zwijacz‐Kozica, George Wittemyer, William F. Fagan, Thomas Müller, Justin M. Calabrese   +43 more
wiley   +1 more source

Relationship between exports, imports, and economic growth in France: evidence from cointegration analysis and Granger causality with using geostatistical models [PDF]

This paper introduces a new way of investigating linear and nonlinear Granger causality between exports, imports and economic growth in France over the period 1961-2006 with using geostatistical models (kiriging and inverse distance weighting ...
Amiri, Arshia, Gerdtham, Ulf-G
core   +1 more source

A Bayesian Spatiotemporal Functional Model for Data With Block Structure and Repeated Measures

Environmetrics, Volume 37, Issue 2, March 2026.
ABSTRACT The analysis of spatiotemporal data is fundamental across multiple scientific disciplines, particularly in assessing the behavior of climate effects over space and time. A key challenge in this area is effectively capturing recurring climate phenomena, such as El Niño/La Niña (ENSO) phases, which induce prolonged periods of similar weather ...
David H. da Matta, Mariana R. Motta, Nancy L. Garcia, Alexandre B. Heinemann   +3 more
wiley   +1 more source

A comparative study of Kriging and deep learning methods for shallow groundwater level estimation: A case study of the Shenzhen-Shanwei Special Cooperation Zone

地质科技通报
Objective Knowledge of the regional groundwater level is an important foundation for groundwater resource evaluation and protection. Due to the limited amount of groundwater level data available at the regional scale, Kriging interpolation and deep ...
Quanjuan WANG, Jingfeng SUN, Yingjie YANG, Jiangwei ZHANG, Guoliang WANG, Enze MA, Jin LIU, Xin ZHAO   +7 more
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

Bayesian Inference for Spatially‐Temporally Misaligned Data Using Predictive Stacking

Environmetrics, Volume 37, Issue 2, March 2026.
ABSTRACT Air pollution remains a major environmental risk factor that is often associated with adverse health outcomes. However, quantifying and evaluating its effects on human health is challenging due to the complex nature of exposure data. Recent technological advances have led to the collection of various indicators of air pollution at increasingly
Soumyakanti Pan, Sudipto Banerjee
wiley   +1 more source

Prediction of grain size distribution using ordinary kriging and compositional kriging methods

ARPN Journal of Engineering and Applied Sciences
Grain size analysis plays a crucial role in understanding the geological characteristics of the coastal environments that influence the optimizations for oil and gas production operations. This paper aims to explore a sophisticated geostatistical approach using the ordinary kriging and compositional kriging techniques, to forecast the grain size ...
openaire   +1 more source