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Smooth Spatial Filter for Common Spatial Patterns

2013
Common Spatial Patterns CSPs is a popular feature extraction algorithm for Brain-Computer Interface BCI. However, the standard CSP spatial filters completely ignore the spatial information of EEG electrodes. To solve this problem, two smooth Regularized CSP RCSP algorithms are proposed in this paper, which are Spatially RCSP with a Gaussian Prior ...
Xuan Li 0001, Haixian Wang
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Clustering of spatial point patterns

Computational Statistics & Data Analysis, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Guillermo Ayala   +3 more
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Spatial patterns

2018
In this chapter, the discussion focuses on the spatial variation of species within urban environment. Studies on urban–rural gradients are discussed. These are studies along gradients of disturbance and environmental stress. The extreme heterogeneity of urban environments, where contrasting urban forms are juxtaposed, is recognized as an issue in ...
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Pattern formation in spatial economics

Chaos, Solitons & Fractals, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Discovering Spatial Interaction Patterns

2008
Advances in sensing and satellite technologies and the growth of Internet have resulted in the easy accessibility of vast amount of spatial data. Extracting useful knowledge from these data is an important and challenging task, in particular, finding interaction among spatial features.
Chang Sheng   +3 more
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The Spatial Patterning of Burglary

The Howard Journal of Criminal Justice, 1975
Paul J. Brantingham   +1 more
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An Introduction to the Analysis of Spatial Patterns

Advances in Applied Probability, 1978
It was suggested to me that it would be useful in this introductory paper to survey some of the methods and models that have been employed in the statistical analysis of spatial pattern. However, I would emphasize that with such a wide spectrum of research workers interested in this general area, it is difficult to cater for everyone, and I must ...
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Quantifying Spatial Patterns of Landscapes

AMBIO: A Journal of the Human Environment, 2003
In this paper we discuss information theoretical landscape indices based on data from digitized maps in grid format: measures based on Shannon's entropy, e.g. the measures of diversity and contagion; and measures based on conditional entropy, e.g.
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Spatial Patterns: EOFs and CCA

1995
Many analyses of climate data sets suffer from high dimensions of the variables representing the state of the system at any given time. Often it is advisable to split the full phase space into two subspaces. The “signal” space is spanned by few characteristic patterns and is supposed to represent the dynamics of the considered process.
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