A Moving Average Approach for Spatial Statistical Models of Stream Networks
From MaRDI portal
Publication:5254930
DOI10.1198/jasa.2009.ap08248zbMath1397.86038OpenAlexW2091104685WikidataQ58055901 ScholiaQ58055901MaRDI QIDQ5254930
Jay M. Ver Hoef, Erin E. Peterson
Publication date: 11 June 2015
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1198/jasa.2009.ap08248
Directional data; spatial statistics (62H11) Inference from spatial processes (62M30) Generalized linear models (logistic models) (62J12) Geostatistics (86A32) Analysis of variance and covariance (ANOVA) (62J10)
Related Items (17)
Estimation of river and stream temperature trends under haphazard sampling ⋮ First- and Second-Order Characteristics of Spatio-Temporal Point Processes on Linear Networks ⋮ Asymptotic theory with hierarchical autocorrelation: Ornstein-Uhlenbeck tree models ⋮ Nested covariance functions on graphs with Euclidean edges cross time ⋮ Model-based clustering of trends and cycles of nitrate concentrations in rivers across France ⋮ Variable selection using penalised likelihoods for point patterns on a linear network ⋮ Spatial sampling on streams: principles for inference on aquatic networks ⋮ Validation and comparison of geostatistical and spline models for spatial stream networks ⋮ Space-time covariance models on networks ⋮ Bayesian spatio-temporal models for stream networks ⋮ Isotropic covariance functions on graphs and their edges ⋮ Point processes on directed linear networks ⋮ Point Patterns Occurring on Complex Structures in Space and Space-Time: An Alternative Network Approach ⋮ S3T: A score statistic for spatiotemporal change point detection ⋮ On Kernel-Based Intensity Estimation of Spatial Point Patterns on Linear Networks ⋮ Kernel Density Estimation on a Linear Network ⋮ Extremes on river networks
This page was built for publication: A Moving Average Approach for Spatial Statistical Models of Stream Networks
