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On asymptotic properties of the mark variogram estimator of a marked point process

Journal of Statistical Planning and Inference, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Michael Sherman
exaly   +4 more sources

Design-based estimation of mark variograms in forest ecosystem surveys

Spatial Statistics, 2019
Abstract Mark variograms are widely adopted in forest ecosystem studies for analyzing spatial interaction among trees. Inference on mark variograms can be performed under a model-dependent perspective (ergodic variograms) or under a deterministic perspective (non-ergodic variograms).
Marcelli, A., Corona, P., Fattorini, L.
openaire   +5 more sources

What mark variograms tell about spatial plant interactions

Ecological Modelling, 2013
Many if not all data collected in ecology have both a spatial as well as a temporal dimension. This suggests the use of summary characteristics from spatial statistics to gain more refined insight into plant interactions. Spatial tree data can for example be considered as point patterns (formed by tree locations) with attached marks (e.g.
Arne Pommerening, Aila Särkkä
openaire   +2 more sources

Mark variograms for spatio-temporal point processes

Spatial Statistics, 2017
Abstract A spatio-temporal point process can be transformed into two marked point processes by taking the times or locations as marks. For these marked point processes mark variograms can be defined, opening a new way for the statistical analysis of spatio-temporal point processes.
Dietrich Stoyan   +3 more
openaire   +2 more sources

On Variograms in Point Process Statistics, II: Models of Markings and Ecological Interpretation

Biometrical Journal, 2000
[For part I see ibid. 38, No. 8, 895-905 (1996; Zbl 0878.62067).] This paper presents new models for marked point processes for describing forestry data. In these models two factors play a role: Long-range variability is modeled by a random field, which may describe environmental variability, while short-range variability is caused by the interaction ...
Stoyan, Dietrich, Wälder, Olga
openaire   +2 more sources

Spatial analysis and high resolution mapping of the human whole‐brain transcriptome for integrative analysis in neuroimaging

NeuroImage, 2018
The quantification of big pools of diverse molecules provides important insights on brain function, but is often restricted to a limited number of observations, which impairs integration with other modalities. To resolve this issue, a method allowing for
G. Gryglewski   +11 more
semanticscholar   +1 more source

Mark-mark scatterplots improve pattern analysis in spatial plant ecology

Ecological Informatics, 2019
Point process statistics provides valuable tools for many ecological studies, where ‘points’ are commonly determined to represent the locations of plants or animals and ‘marks’ are additional items such as species or size.
Felix Ballani, Arne Pommerening
exaly   +2 more sources

Burgess, T.M. & Webster, R. 1980. Optimal interpolation and isarithmic mapping of soil properties. I. The semi‐variogram and punctual kriging. Journal of Soil Science, 31, 315–331

European Journal of Soil Science, 2019
This landmark paper by Burgess & Webster (1980a) signalled a new era in the spatial mapping 2 of the soil. The emergence of pedometrics as a distinct subdiscipline of soil science was a gradual 3 process, and had its roots in earlier studies than this ...
Richard Webster
semanticscholar   +1 more source

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