Results 41 to 50 of about 9,305 (199)
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 +3 more
wiley +1 more source
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 +6 more
doaj +1 more source
Bootstrap based uncertainty bands for prediction in functional kriging [PDF]
, 2016 The increasing interest in spatially correlated functional data has led to the development of appropriate geostatistical techniques that allow to predict a curve at an unmonitored location using a functional kriging with external drift model that takes ...
Franco-Villoria, Maria +1 more
core +3 more sources
Focal‐Feature Regression Kriging
Geographical Analysis, Volume 58, Issue 2, April 2026.ABSTRACT Spatial interpolation is a crucial task in geography. As perhaps the most widely used interpolation methods, geostatistical models‐such as Ordinary Kriging (OK)‐assume spatial stationarity, which makes it difficult to capture the nonstationary characteristics of geographic variables.
Peng Luo, Yilong Wu, Yongze Song
wiley +1 more source
Spatial correlation of soybean yield with the chemical attributes of an Oxisol
Agronomía Colombiana, 2023 Soybean is currently the most cultivated oilseed in the world. The objective of this study was to analyze the chemical attributes of Oxisol correlated with soybean productivity.
Luiz Claudio Rodrigues +6 more
doaj +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
Variogram analysis of stochastic processes
Журнал Белорусского государственного университета: Математика, информатика, 2018 Properties of the semivariogram of an intrinsically stationary continuous-time random process with finite second moment are investigated. A necessary and sufficient conditions for a continuous function to be semivariogram are found.
Tatsiana V. Tsekhavaya
doaj
A Classification for a Geostatistical Index of Spatial Dependence
Revista Brasileira de Ciência do Solo: In geostatistical studies, spatial dependence can generally be described by means of the semivariogram or, in complementary form, with a single index followed by its categorization to classify the degree of such dependence.
Enio Júnior Seidel +1 more
doaj +1 more source
ISPRS International Journal of Geo-Information, 2018 Upscaling in situ soil moisture observations (ISMO) to multiscale pixel estimations with kriging is a key step in the comprehensive usage of ISMO and remote sensing (RS) soil moisture data. Scale effects occur and introduce uncertainties during upscaling
Xiaohu Zhang +5 more
doaj +1 more source
Scale-Dependent Spatial Ecology of Paleotropical Leaf Litter Ants (Hymenoptera: Formicidae)
Diversity, 2023 The grain for which an observer conducts a study is an important determinant of its outcome. Studies of ants have considered spatial grains spanning from single meters to entire forest ecosystems and found patterns related to nutrient availability, leaf ...
Lillian Germeroth +2 more
doaj +1 more source