scholarly journals Spatial pattern analysis of line‐segment data in ecology

Ecology ◽  
2021 ◽  
Author(s):  
Luke A. Yates ◽  
Barry W. Brook ◽  
Jessie C. Buettel
Keyword(s):  
Spatial Pattern ◽  
Line Segment ◽  
Pattern Analysis ◽  
Spatial Pattern Analysis ◽  
Segment Data

scholarly journals Spatial pattern analysis of line-segment data in ecology

2021 ◽  
Author(s):  
Luke A. Yates ◽  
Barry W. Brook ◽  
Jessie C. Buettel
Keyword(s):  
Monte Carlo ◽  
Spatial Pattern ◽  
Line Segment ◽  
Model Comparison ◽  
Pattern Analysis ◽  
Information Criteria ◽  
General Nature ◽  
Spatial Pattern Analysis ◽  
List Type ◽  
Segment Data

AbstractThe spatial analysis of linear features (lines and curves) is a challenging and rarely attempted problem in ecology. Existing methods are typically expressed in abstract mathematical formalism, making it difficult to assess their relevance and transferability into an ecological setting. A set of concrete and accessible tools is needed.We develop a new method to analyse the spatial patterning of line-segment data. It is based on a generalisation of Ripley’s K-function and includes an analogue of the transformed L-function, together with estimators and theoretical expectation values. We introduce a class of line-segment processes, related to the Boolean model, which we use in conjunction with Monte-Carlo methods and information criteria to generate and compare candidate models. We demonstrate the utility of our method using fallen tree (dead log) data collected from two one-hectare Australian tall eucalypt forest plots.Comparing six line-segment models, we find for both plots that the distribution of fallen logs is best explained by plot-level spatial heterogeneity. The use of non-uniform distributions to model dead-log orientation on the forest floor improves model performance in one of the two sites. Our case study highlights the challenges of model comparison in spatial-pattern analysis, where Monte-Carlo approaches based on the discrepancy of simulated summary functions can generate a different ranking of models than that of information criteria.These methods are of a general nature and are applicable to any line-segment data. In the context of forest ecology, the integration of fallen logs as linear structural features in a landscape with the point locations of living trees, and a quantification of their interactions, will yield new insights into the functional and structural role of tree fall in forest communities and their enduring post-mortem ecological legacy as spatially distributed decomposing logs.

Low Latency Auditory Attention Detection with Common Spatial Pattern Analysis of EEG Signals

2020 ◽  
Author(s):  
Siqi Cai ◽  
Enze Su ◽  
Yonghao Song ◽  
Longhan Xie ◽  
Haizhou Li
Keyword(s):  
Spatial Pattern ◽  
Pattern Analysis ◽  
Auditory Attention ◽  
Low Latency ◽  
Spatial Pattern Analysis ◽  
Eeg Signals ◽  
Common Spatial Pattern

Spatial pattern analysis in Persian oak (Quercus brantii var. persica) forests on B&W aerial photographs

2008 ◽  
Vol 150 (1-4) ◽  
pp. 251-259 ◽  
Author(s):  
Yousef Erfanifard ◽  
Jahangir Feghhi ◽  
Mahmoud Zobeiri ◽  
Manouchehr Namiranian
Keyword(s):  
Spatial Pattern ◽  
Pattern Analysis ◽  
Aerial Photographs ◽  
Spatial Pattern Analysis ◽  
Quercus Brantii

Land Cover Mapping and Its Spatial Pattern Analysis in Nepal

2017 ◽  
pp. 17-39 ◽  
Author(s):  
Guangbin Lei ◽  
Ainong Li ◽  
Xiaomin Cao ◽  
Wei Zhao ◽  
Jinhu Bian ◽  
...  
Keyword(s):  
Land Cover ◽  
Spatial Pattern ◽  
Pattern Analysis ◽  
Land Cover Mapping ◽  
Spatial Pattern Analysis

scholarly journals Grazing Impacts in Vegetated Dune Fields: Predictions From Spatial Pattern Analysis

2008 ◽  
Vol 61 (2) ◽  
pp. 194-203 ◽  
Author(s):  
Paula D. Blanco ◽  
César M. Rostagno ◽  
Héctor F. del Valle ◽  
Ana M. Beeskow ◽  
Thorsten Wiegand
Keyword(s):  
Spatial Pattern ◽  
Pattern Analysis ◽  
Spatial Pattern Analysis ◽  
Grazing Impacts

Spatial pattern analysis of manufacturing industries in Keraniganj, Dhaka, Bangladesh

GeoJournal ◽  
2019 ◽  
Vol 85 (1) ◽  
pp. 269-283
Author(s):  
Mohammad Mehedy Hassan ◽  
Meshari S. Alenezi ◽  
Ryan Z. Good
Keyword(s):  
Spatial Pattern ◽  
Pattern Analysis ◽  
Manufacturing Industries ◽  
Spatial Pattern Analysis
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