Spatial analysis (Statistics)
Overview
| Works: | 31 works in 9 publications in 9 languages | |
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Titles
Random networks for communication[electronic resource] :from statistical physics to information systems /
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GIS and spatial analysis for the social sciences[electronic resource] :coding, mapping and modeling /
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Spatial AutoRegression (SAR) model[electronic resource] :parameter estimation techniques /
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Discovery of geospatial resources[electronic resource] :methodologies, technologies, and emergent applications /
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Defining the spatial scale in modern regional analysis[electronic resource] :new challenges from data at local level /
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Grounding geographic information in perceptual operations[electronic resource] /
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Emerging methods and multidisciplinary applications in geospatial research[electronic resource] /
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Spatial simulation[electronic resource] :exploring pattern and process /
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Space-time integration in geography and GIScience[electronic resource] :research frontiers in the US and China /
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Stochastic geometry, spatial statistics and random fields[electronic resource] :models and algorithms /
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Spatial data analysis in ecology and agriculture using R[electronic resource] /
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Spatio-temporal design[electronic resource] :advances in efficient data acquisition /
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Theoretical aspects of spatial-temporal modeling[electronic resource] /
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Modern methodology and applications in spatial-temporal modeling[electronic resource] /
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Statistical analysis of spatial and spatio-temporal point patterns[electronic resource] /
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Spatial and spatio-temporal Bayesian models with R-INLA[electronic resource] /
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Numerical integration of space fractional partial differential equations.Vol 1,Introduction to algorithms and computer coding in R /
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Numerical integration of space fractional partial differential equations.Vol 2,Applications from classical integer PDEs /
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Numerical integration of space fractional partial differential equations.Vol 1,Introduction to algorithms and computer coding in R /
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Numerical integration of space fractional partial differential equations.Vol 2,Applications from classical integer PDEs /
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Spatial regression analysis using Eigenvector spatial filtering[electronic resource] /
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Subjects