Periodicity in spatial data and geostatistical models: autocorrelation between patches
By Volker C. Radeloff, Todd Miller, Hong S. He, David J. Mladenoff. 2000
54 citations recorded by the source corpus.
Subfields: Environmental Engineering, Global and Planetary Change, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/19fade5603278a5cf344e6d2e648a0fa0f14d869
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Environmental Engineering
- P. Peres‐Neto
- Pierre Legendre
- Stéphane Dray
- Marie-Josée Fortin
- M. de Cáceres
- A. Dufour
- F. Guillaume Blanchet
- Jari Oksanen
In Global and Planetary Change
- Marie-Josée Fortin
- Pierre Legendre
- Stéphane Dray
- P. Peres‐Neto
- H. Wagner
- F. Guillaume Blanchet
- Thibaut Jombart
- A. Dufour
In Nature and Landscape Conservation
- Pierre Legendre
- Stéphane Dray
- Marie-Josée Fortin
- P. Peres‐Neto
- H. Wagner
- M. de Cáceres
- F. Guillaume Blanchet
- Thibaut Jombart
Citations in the corpus
- Spatially Informed Cell Type Deconvolution for Spatial Transcriptomics (2022, unknown): “84–90).”
- Multivariate correlations between imagery and field measurements across scales: comparing pixel aggregation and image segmentation (2010, background): “Patterns of semi-variance against lag distance that do not increase monotonically to the sill can indicate the presence of cyclic spatial structures or multi-scale patterns in the data (Radeloff et al. 2000; Bellier et al. 2007).”
- Community ecology in the age of multivariate multiscale spatial analysis (2012, background): “Several ecological studies have demonstrated the efficiency of variograms and correlograms to identify characteristics of spatial structures such as their periodicity, directionality, or patch size (Radeloff et al. 2000, Fortin and Dale 2005).”