Results 41 to 50 of about 3,459 (219)

Semivariogram analysis of bone images implemented on FPGA architectures [PDF]

Journal of Real-Time Image Processing, 2016
Osteoporotic fractures are a major concern for the healthcare of elderly and female populations. Early diagnosis of patients with a high risk of osteoporotic fractures can be enhanced by introducing second-order statistical analysis of bone image data using techniques such as variogram analysis.
Mukul V. Shirvaikar, Yamuna Lagadapati, Xuanliang N. Dong   +2 more
openaire   +2 more sources

A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces

International Statistical Review, EarlyView.
Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri, Bernardo Nipoti, Emilio Porcu, Philip White   +3 more
wiley   +1 more source

Spatial heterogeneity of surface roughness on tilled loess slopes in erosion stages

Soil and Water Research, 2018
The main soil erosion areas of the Chinese Loess Plateau are tilled slopes. The knowledge of their spatial heterogeneity will contribute to the understanding of erosion mechanisms on a microtopographic scale.
Qingfeng ZHANG, Jian WANG, Faqi WU
doaj   +1 more source

Spatial Distribution Characteristics of Heavy Metals in Surface Soil of Xilinguole Coal Mining Area Based on Semivariogram

ISPRS International Journal of Geo-Information, 2021
Heavy metal pollution is a major environmental problem facing humankind. Locating the source and distribution of heavy metal pollutants around mines can provide a scientific basis for environmental control.
Guoqing Chen, Yong Yang, Xinyao Liu, Mingjiu Wang   +3 more
doaj   +1 more source

Nonstationary Spatial Correlation of Earthquake Ground Motions in California

Earthquake Spectra, Volume 42, Issue 3, August 2026.
Assessing seismic risk to spatially distributed infrastructure systems requires realistic representations of spatially correlated ground motions. Existing models for the spatial correlations of ground motions rely on strong second‐order stationarity assumptions, under which the correlation structure is assumed to be invariant across space, potentially ...
Pengfei Wang, Busra Bocekli, Junhui Yang, Scott J. Brandenberg, Jonathan P. Stewart   +4 more
wiley   +1 more source

Variabilidade espacial de variáveis geobiofísicas nas nascentes da bacia hidrográfica do Ribeirão Santa Cruz Spatial variability of geobiophysical variables in the springs of the Ribeirão Santa Cruz watershed

Revista Brasileira de Engenharia Agrícola e Ambiental, 2008
Objetivou-se, em Lavras, MG, caracterizar a estrutura e a magnitude de dependência espacial de variáveis ambientais nas nascentes da bacia hidrográfica do Ribeirão Santa Cruz, por métodos de interpolação geoestatística.
Marcelo de C. Alves, Soraya A. Botelho, Lilian V. A. Pinto, Edson A. Pozza, Marcelo S. de Oliveira, Elizabeth Ferreira, Hélcio Andrade   +6 more
doaj   +1 more source

Streamflow Spatial Correlation Length Increases During Storms and Its Application in Data Assimilation Improves Streamflow Predictions

Water Resources Research, Volume 62, Issue 7, July 2026.
Abstract The spatial correlation of streamflow in a river network captures how flows at different locations relate to one another and influence the downstream response. In this study, we analyze the spatial correlation of streamflow and rainfall during storm events in three Texas watersheds: San Antonio (2015 and 2016 storms), Guadalupe (2018 storm ...
Sujana Timilsina, Paola Passalacqua
wiley   +1 more source

Integrating Support Vector Regression and Kriging in Spatial Interpolation of Statistical Seismicity Parameters

Indonesian Journal of Geography
Spatial interpolation methods, such as Inverse Distance Weighting (IDW) and kriging, are commonly used in various fields. In Kriging method, semivariogram fitting is an important step, where empirical data are used to derive a theoretical model. However,
Dwi Agustin Nuriani Sirodj, Muhammad Nur Aidi, Bagus Sartono, Utami Dyah Syafitri, Bayu Pranata   +4 more
doaj   +1 more source

Spatial and Temporal Stability of Weed Patches in Cereal Fields under Direct Drilling and Harrow Tillage

Agronomy, 2020
The adoption of conservation agriculture (CA) techniques by farmers is changing the dynamics of weed communities in cereal fields and so potentially their spatial distribution.
Jordi Izquierdo, Alice E. Milne, Jordi Recasens, Aritz Royo-Esnal, Joel Torra, Richard Webster, Bárbara Baraibar   +6 more
doaj   +1 more source

Riverscape heterogeneity shapes population diversity for a migratory fish

Ecological Applications, Volume 36, Issue 4, June 2026.
Abstract Habitat patch dynamics can scale up to influence population demography and diversity with implications for resilience to environmental stochasticity. But how the spatial arrangement and size of habitat patches interact with other components of habitat heterogeneity to shape population diversity at larger spatial scales is not well understood ...
Jeffrey R. Baldock, William C. Rosenthal, Robert K. Al‐Chokhachy, Matthew R. Campbell, Catherine E. Wagner, Annika Walters   +5 more
wiley   +1 more source