2 citations · 3 across the 2 of their papers we have counts for
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Dominant-feature identification in data from Gaussian processes applied to Finnish forest inventory records
Roman Flury, Tuomas Aakala, Leena Ruha +2
In spatial data, location-dependent variation leads to connected structures known as features. Variations occur at different spatial scales and possibly originate from distinct und…
Discussion on Competition for Spatial Statistics for Large Datasets
Roman Flury, Reinhard Furrer
We discuss the experiences and results of the AppStatUZH team's participation in the comprehensive and unbiased comparison of different spatial approximations conducted in the Comp…
Identification of Dominant Features in Spatial Data
Roman Flury, Florian Gerber, Bernhard Schmid +1
Dominant features of spatial data are connected structures or patterns that emerge from location-based variation and manifest at specific scales or resolutions. To identify dominan…
Multiresolution Decomposition of Areal Count Data
Roman Flury, Reinhard Furrer
Multiresolution decomposition is commonly understood as a procedure to capture scale-dependent features in random signals. Such methods were first established for image processing…