Results 101 to 110 of about 6,631 (202)

Kriging algorithm for mapping the gravimetric data in the north of Algeria

Geodetski Vestnik
The purpose of this work is to analyze and validate the gravimetric information in the study area in order to highlight the valid data for mapping the gravity anomaly from a grid generated by interpolation. In this context, we have performed a first step
Ilies Benikhlef, Abderrahmane Senoussaoui, Sid Ahmed Benahmed Daho   +2 more
doaj   +1 more source

Structured machine learning modeling to support conservation of deep‐sea benthic biodiversity

Conservation Biology, Volume 40, Issue 4, August 2026.
Abstract Biodiversity monitoring programs need to deliver accurate, timely, and actionable predictions. To establish a predictive monitoring program for deep‐sea benthos of the Santos Basin, Brazil, we developed a two‐stage structured model that allowed comparison of biodiversity predictions obtained from environmental simulations (2M‐Sim).
Gustavo Fonseca, Danilo C. Vieira, Juliane C. Carneiro, Renato S. Carreira, Milena Ceccopieri, Thais N. Corbisier, Adriana Galindo Dalto, Alberto G. Figueiredo Jr., Fabiane Gallucci, Paula Gheller, Simone Brito de Jesus, Helena Passeri Lavrado, Letícia Lazzari, Eduardo Hilzendeger Marcon, Daniel Leite Moreira, Rafael Bendayan de Moura, Ellen Pape, Ana Cláudia Aoki Santarosa, João Regis dos Santos Filho, Silvia Helena de Mello e Sousa, Thaisa Marques Vicente, Luciana Erika Yaginuma, Cinthia Yamashita, Wandrey Watanabe   +23 more
wiley   +1 more source

Key sources of uncertainty in process‐based modeling of live fuel moisture content

New Phytologist, Volume 251, Issue 4, Page 1723-1737, August 2026.
Location of the selected live fuel moisture content (LFMC) sampling sites. Summary Process‐based models that mechanistically represent water‐carbon balances in the atmosphere‐soil–plant continuum are an attractive tool for monitoring live fuel moisture content (LFMC) dynamics, a key variable when assessing fire danger.
Rodrigo Balaguer‐Romano, Albert Sañé, Nicolas Martin‐StPaul, Julien Ruffault, Eva Gabriel, Xavier Castro, François Pimont, Xiangzhuo Liu, Arsène Druel, Sylvain Delzon, Miquel De Cáceres   +10 more
wiley   +1 more source

Sediment transport and depositional hydrodynamics on the eastern Korean continental margin revealed by surface sediment granulometry

Sedimentology, Volume 73, Issue 5, Page 1469-1487, August 2026.
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, Jang Jun Bahk, Haedo Baek, Jun Ho Jang, In Kwon Um, Dong Eun Lee   +5 more
wiley   +1 more source

Kriging and Gaussian Process Interpolation for Georeferenced Data Augmentation

CoRR
Data augmentation is a crucial step in the development of robust supervised learning models, especially when dealing with limited datasets. This study explores interpolation techniques for the augmentation of geo-referenced data, with the aim of predicting the presence of Commelina benghalensis L. in sugarcane plots in La R{é}union.
Fabre Ferber, Frédérick, Gay, Dominique, Soulié, Jean-Christophe, Diatta, Jean, Maillard, Odalric-Ambrym   +4 more
openaire   +3 more sources

Modeling Potential Environmental Impacts of Science Activity in Antarctica

Transactions in GIS, Volume 30, Issue 5, August 2026.
ABSTRACT We use GPS data collected on science expeditions in Antarctica to estimate hiking functions for the speed at which humans traverse terrain differentiated by slope and by ground cover (moraines and rock). We use the estimated hiking functions to build weighted directed graphs as a representation of specific environments in Antarctica.
David O'Sullivan, Fraser J. Morgan
wiley   +1 more source

A hybrid sparrow optimization Kriging model and its application in geological modeling

Scientific Reports
With the proposal of intelligent mines, the demand for drilling is increasing daily. Therefore, it is particularly crucial to gather more geological data by interpolation of limited drilling data for subsequent three-dimensional geological modeling.
Xiaonan Shi, Yumo Wang, Haoran Wu, Aoqian Wang   +3 more
doaj   +1 more source

Kriging-Based Finite Element Method: Element-By-Element Kriging Interpolation

Civil Engineering Dimension, 2009
An enhancement of the finite element method with Kriging shape functions (K-FEM) was recently proposed. In this method, the field variables of a boundary value problem are approximated using ‘element-by-element’ piecewise Kriging interpolation (el-KI).
Tjong, Wong Foek, Kanok-Nukulchai, Worsak   +1 more
openaire   +1 more source

Empirical semivariograms for kriging interpolation

, 2009
Kriging interpolation is one of the more interesting techniques introduced in the field of surrogate modeling in the last years. This technique has been motivated by the necessity of data interpolation in the geological field in the late sixties. This approach is founded on the availability of the so called "variogram", defined as "a curve representing
openaire   +1 more source

A numerical study of the European option by the MLPG method with moving kriging interpolation. [PDF]

Springerplus, 2016
Phaochoo P, Luadsong A, Aschariyaphotha N.   +2 more
europepmc   +1 more source