Eigenfunction properties and approximations of selected incidence matrices employed in spatial analyses

DOI10.1016/S0024-3795(00)00031-8zbMath1157.62413MaRDI QIDQ1595141

Daniel A. Griffith

Publication date: 11 February 2001

Published in: Linear Algebra and its Applications (Search for Journal in Brave)

zbMATH Keywords

Incidence matrixStochastic matrixEigenfunctionHexagonal tessellationSpatial analysisSquare tessellation

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Eigenvalues, singular values, and eigenvectors (15A18)

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Cites Work

• First-order autoregressive models: A method for obtaining eigenvalues for weighting matrices
• Monte Carlo estimates of the log determinant of large sparse matrices
• On the structure of stochastic matrices with a subdominant eigenvalue near 1
• Some large-scale matrix computation problems
• Estimation Methods for Models of Spatial Interaction
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