Spatial Autocorrelation and Spatial Filtering: Gaining Understanding Through Theory and Scientific Visualization (Advances in Spatial Science) - encuadernado, tapa blanda

EAN (ISBN-13): 9783540009320
ISBN (ISBN-10): 3540009329
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Tapa blanda
Año de publicación: 2003
Editorial: Springer Berlin
268 Páginas
Peso: 0,567 kg
Idioma: eng/Englisch

Libro en la base de datos desde 2007-06-30T14:28:34+02:00 (Madrid)
Página de detalles modificada por última vez el 2023-07-30T00:45:52+02:00 (Madrid)
ISBN/EAN: 9783540009320

ISBN - escritura alterna:
3-540-00932-9, 978-3-540-00932-0
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Autor del libro: griffith
Título del libro: filtering theory, scientific visualization, understanding science, griffith

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Datos del la editorial

Autor: Daniel A. Griffith
Título: Advances in Spatial Science; Spatial Autocorrelation and Spatial Filtering - Gaining Understanding Through Theory and Scientific Visualization
Editorial: Springer; Springer Berlin
250 Páginas
Año de publicación: 2003-07-10
Berlin; Heidelberg; DE
Idioma: Inglés
164,99 € (DE)

BB; Hardcover, Softcover / Geowissenschaften/Geografie; Geographie; Verstehen; Analysis; Map; Regression analysis; Resampling; USA; geographic data; linear optimization; Geography; Probability Theory; Geographical Information System; Statistics in Business, Management, Economics, Finance, Insurance; Environmental Monitoring; Econometrics; Wahrscheinlichkeitsrechnung und Statistik; Stochastik; Geographische Informationssysteme (GIS) und Fernerkundung; Wirtschaftswissenschaft, Finanzen, Betriebswirtschaft und Management; Umweltüberwachung (Umwelt-Monitoring); Ökonometrie und Wirtschaftsstatistik; BC

1 Introduction.- 1.1 Scientific Visualization.- 1.2 What Is Spatial Autocorrelation?.- 1.3 Selected Visualization Tools: An Overview.- 1.4 The Sample Georeferenced Datasets.- 2 Salient Properties of Geographic Connectivity Underlying Spatial Autocorrelation.- 2.1 Eigenfunctions Associated with Geographic Connectivity Matrices.- 2.2 Generalized Eigenvalue Frequency Distributions.- 2.3 The Auto-Gaussian Jacobian Term Normalizing Factor.- 2.4 Eigenfunctions Associated with the GR.- 2.5 Remarks and Discussion.- 3 Sampling Distributions Associated with Spatial Autocorrelation.- 3.1 Samples as Random Permutations of Values across Locations on a Man: Randomization.- 3.2 Simple Random Samples at Each Location on a Map: Unconstrained Selection.- 3.3 Samples as Ordered Random Drawings from a Parent Frequency Distribution: Extending the Permutation Perspective.- 3.4 Samples as Outcomes of a Multivariate Drawing: Extending the Simple Random Samnling Persnective.- 3.5 Effective Sample Size.- 3.6. Remarks and Discussion.- 4 Spatial Filtering.- 4.1 Eigenvector-based Spatial Filtering.- 4.2 Coefficients for Single and Linear Combinations of Distinct Map Patterns.- 4.3 Eigenvector Selection Criteria.- 4.4 Regression Analysis: Standard Errors Based upon Simulation Experiments and Resampling.- 4.5 The MC Local Statistic and Illuminating Diagnostics.- 4.6 Remarks and Discussion.- 5 Spatial Filtering Applications: Selected Interval/Ratio Datasets.- 5.1 Geographic Distributions of Settlement Size in Peru.- 5.2 The Geographic Distribution of Lyme Disease in Georgia.- 5.3 The Geographic Distribution or Biomass in the Hign Peak District.- 5.4 The Geographic Distribution of Agricultural and Topographic Variables in Puerto Rico.- 5.5 Remarks and Discussion.- 6 Spatial Filtering Applications: Selected Counts Datasets.- 6.1 Geographic Distributions of Settlement Counts in Pennsylvania.- 6.2 The Geographic Distribution of Farms in Loiza, Puerto Rico.- 6.3 The Geographic Distribution of Volcanoes in Uganda.- 6.4 The Geographic Distribution of Cholera Deaths in London.- 6.5 The Geographic Distribution of Drumlins in Ireland.- 6.6 Remarks and Discussion.- 7 Spatial Filtering Applications: Selected Percentage Datasets.- 7.1 The Geographic Distribution of the Presence/Absence of Plant Disease in an Agricultural Field.- 7.2 The Geographic Distribution of Plant Disease in an Agricultural Field.- 7.3 The Geographic Distribution of Blood Group A in Eire.- 7.4 The Geographic Distribution of Urbanization across the Island of Puerto Rico.- 7.5 Remarks and Discussion.- 8 Concluding Comments.- 8.1 Spatial Filtering versus Spatial Autoregression.- 8.2 Some Numerical Issues in Spatial Filtering.- 8.3 Stepwise Selection of Eigenvectors for an Auto-Poisson Model.- 8.4 Binomial and Poisson Overdispersion.- 8.5 Future Research: What Next?.- List of Symbols.- List of Tables.- List of Figures.- References.- Author Index.- Place Index.