A Moving Average Approach for Spatial Statistical Models of Stream Networks

By Jay M. Ver Hoef, Erin E. Peterson. 2010

266 citations recorded by the source corpus.

Subfields: Environmental Chemistry, Environmental Engineering, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/559c6283e25e9d991a28d465a7c608dc8b8dbfd1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Chemistry

1. Peiman Asadi
2. A. C. Davison
3. Sebastian Engelke

In Environmental Engineering

1. Gopalan M. Nair
2. Greg McSwiggan
3. Peiman Asadi
4. A. C. Davison
5. Sebastian Engelke
6. Adrian Baddeley
7. Jesper Møller
8. Raphaël Huser

In Nature and Landscape Conservation

1. Peiman Asadi
2. A. C. Davison
3. Sebastian Engelke

Citations in the corpus

• Kernel Density Estimation on a Linear Network (2017, background): “…Okunuki & Okabe, 2003; Comber et al., 2008); insect nests (Voss et al., 2007; Ang et al., 2012); neuroanatomical features (Yadav et al., 2012; Jammalamadaka et al., 2013; Baddeley et al., 2014); or sample points along a stream (Ver Hoef et al., 2006; Ver Hoef & Peterson, 2010; Som et al., 2014).”
• Process (2020, background): “Moving average function g(·) should be square-integrable and defined on R [38].”
• Extremes on river networks (2015, methodology): “In Section 3.2 we explain how knowledge about the network structure and river sizes can be included in the dependence model for flooding using ideas of Ver Hoef and Peterson (2010), who defined covariance functions on river networks.”