Graphical spatial models: a new view on interpreting spatial pattern

• Published in: Environmental and ecological statistics Vol. 18; no. 3; pp. 447 - 469
• Main Authors: Irvine, Kathryn M, Gitelman, Alix I
• Format: Journal Article
• Language: English
• Published: Boston Springer-Verlag 01.09.2011; Springer US; Springer Nature B.V
• Subjects: autocorrelation; Biomedical and Life Sciences; Chemistry and Earth Sciences; Computer Science; Creeks & streams; Ecology; equations; Graphs; Health Sciences; Land use; Landscape ecology; Life Sciences; Math. Appl. in Environmental Science; Medicine; Physics; Random variables; regression analysis; Riparian buffers; Riparian ecology; Riparian land; scientists; Spatial analysis; Statistics for Engineering; Statistics for Life Sciences; Studies; Theoretical Ecology/Statistics; Trends; Spatial path analysis; Multi-scale analysis; Isomorphic chain graphs; Multivariate; Spatial correlation

Graphical models provide an important tool for facilitating communication between scientists, decision-makers, and statisticians—many complicated ecological processes can be described in terms of “box-and-arrow” conceptual diagrams (e.g., Shipley in Cause and correlation in biology: a user’s guide t...