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GIS for spatial landslide distribution analysis in the Transylvanian Depression [PDF]
Landslides represent one of the most important hazardous geomorphic phenomena in the Transylvanian Depression, the vast depressional area inside the Carpathian Mountains.
Gh. ROŞIAN, C. HORVATH
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Spatial Statistics and Computational Methods
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Nicolas Christou
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Measurement(s) vegetation index Technology Type(s) remote ...
Chen Zhang +7 more
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Spatio-temporal point process statistics: A review [PDF]
© 2016 Elsevier B.V. Spatio-temporal point process data have been analysed quite a bit in specialised fields, with the aim of better understanding the inherent mechanisms that govern the temporal evolution of events placed in a planar region.
Gothenburg University. +5 more
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Spectral Methods in Spatial Statistics
When the spatial location area increases becoming extremely large, it is very difficult, if not possible, to evaluate the covariance matrix determined by the set of location distance even for gridded stationary Gaussian process.
Kun Chen, Lianmin Zhang, Maolin Pan
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Is Forensic Entomology Lost in Space?
Spatial and scale effects have barely been considered in forensic entomology, despite their pervasive influence on most of the parameters affecting the development of insect larval stages and the progression of insect succession on cadavers.
Denis R. Boudreau, Gaétan Moreau
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Natural ITD statistics predict human auditory spatial perception
A neural code adapted to the statistical structure of sensory cues may optimize perception. We investigated whether interaural time difference (ITD) statistics inherent in natural acoustic scenes are parameters determining spatial discriminability.
Rodrigo Pavão +3 more
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Spatio-Temporal Analysis of Urban Heatwaves Using Tukey g-and-h Random Field Models
Real-time heatwave risk management with fine-grained spatial resolution is important for analysis of urban heat island (UHI) effects and local heatwaves.
Daisuke Murakami +3 more
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The Second Competition on Spatial Statistics for Large Datasets
In the last few decades, the size of spatial and spatio-temporal datasets in many research areas has rapidly increased with the development of data collection technologies.
Sun, Ying +6 more
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