Identifying Internal and External Characteristics of Classes likely to be useful as Structural Complexity Metrics

OOIS’94 ◽  
1995 ◽  
pp. 227-230 ◽  
Author(s):  
Brian Henderson-Sellers
Keyword(s):  
Structural Complexity ◽  
Complexity Metrics ◽  
External Characteristics

scholarly journals Vegetation Structural Complexity and Biodiversity Across Elevation Gradients in the Great Smoky Mountains

2020 ◽  
Author(s):  
Jonathan Walter ◽  
Atticus Stovall ◽  
Jeff Atkins
Keyword(s):  
Forest Structure ◽  
Vegetation Structure ◽  
Vascular Plant ◽  
Structural Complexity ◽  
Plant Biodiversity ◽  
Structural Variations ◽  
Elevation Gradients ◽  
Great Smoky Mountains ◽  
Complexity Metrics ◽  
Smoky Mountains

Questions: Elevation, biodiversity, and forest structure are commonly correlated, but their relationships near the positive extremes of biodiversity and elevation are unclear. We asked 1) How does forest structure vary with elevation in a high biodiversity, high topographic complexity region? 2) Does forest structure predict vascular plant biodiversity? 3) Is plant biodiversity more strongly related to elevation or to forest structure? Location: Great Smoky Mountains National Park, USAMethods: We used terrestrial LiDAR scanning (TLS) to characterize vegetation structure in 12 forest plots. We combined two new canopy structural complexity metrics with traditional TLS-derived forest structural metrics and vascular plant biodiversity data to investigate correlations among forest structure metrics, biodiversity, and elevation. Results: Forest structure varied widely across plots spanning the elevational range of GRSM. Our new measures of canopy density (Depth) and structural complexity (σDepth) were sensitive to structural variations and effectively summarized horizontal and vertical dimensions of structural complexity. Vascular plant biodiversity was negatively correlated with elevation, and more strongly positively correlated with vegetation structure variables. Conclusions: The strong correlations we observed between canopy structural complexity and biodiversity suggest that structural complexity metrics could be used to assay plant biodiversity over large areas in concert with airborne and spaceborne platforms.

Complexity Metrics for Assembly Supply Chains: A Comparative Study

2012 ◽  
Vol 629 ◽  
pp. 757-762 ◽  
Author(s):  
Vladimir Modrak ◽  
David Marton
Keyword(s):  
Supply Chain ◽  
Comparative Study ◽  
Supply Chains ◽  
Chain Length ◽  
Structural Complexity ◽  
Correlation Coefficients ◽  
Vertex Degree ◽  
Spearman Correlation ◽  
Supply Chain Networks ◽  
Complexity Metrics

In this paper, we study the complexity metrics for systematically generated assembly supply chains structures. We define three structural complexity indicators, such as the index of vertex degree, the supply chain length and the flow complexity. By a comparative study of 190 mathematically selected supply chain networks, we obtained Spearman correlation coefficients among three defined metrics and find some interesting results.

Developing Spectral Structural Complexity Metrics

2019 ◽  
Vol 13 (4) ◽  
pp. 3619-3626
Author(s):  
Antonio Pugliese ◽  
Roshanak Nilchiani
Keyword(s):  
Structural Complexity ◽  
Complexity Metrics

scholarly journals Accuracy and Precision of Habitat Structural Complexity Metrics Derived from Underwater Photogrammetry

2015 ◽  
Vol 7 (12) ◽  
pp. 16883-16900 ◽  
Author(s):  
Will Figueira ◽  
Renata Ferrari ◽  
Elyse Weatherby ◽  
Augustine Porter ◽  
Steven Hawes ◽  
...  
Keyword(s):  
Structural Complexity ◽  
Complexity Metrics ◽  
Accuracy And Precision

scholarly journals 3D assessment of a coral reef at Lalo Atoll reveals varying responses of habitat metrics following a catastrophic hurricane

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kailey H. Pascoe ◽  
Atsuko Fukunaga ◽  
Randall K. Kosaki ◽  
John H. R. Burns
Keyword(s):  
Coral Reef ◽  
Habitat Complexity ◽  
Coral Cover ◽  
Three Dimensional ◽  
Structural Complexity ◽  
Complexity Metrics ◽  
Complete Destruction ◽  
Tabulate Coral ◽  
Before And After ◽  
Coral Reef Habitat

AbstractExtreme disturbances such as hurricanes can cause reductions in coral cover and three-dimensional (3D) structural complexity of coral reefs. We examined changes in structural complexity utilizing 3D reconstruction of a coral-reef site before and after Hurricane Walaka passed through Lalo of the Northwestern Hawaiian Islands. This event resulted in complete destruction of the coral-reef habitat, with dramatic changes in benthic cover from pre-hurricane tabulate coral to post-hurricane rubble. Rugosity and mean slope decreased after the hurricane, while structural complexity, captured by vector ruggedness measure (VRM), showed resolution-specific responses. This metric captured the structural complexity of rubble at a high raster resolution of 1 cm and that of tabulate coral at lower resolutions, resulting in decreases in mean VRM values at 2- and 4-cm resolutions but an increase at 1-cm resolution. Variability in profile and planform curvature was reduced after the hurricane due to a disappearance of extreme curvature values created by the tabulate coral after the hurricane. This study highlights the varying responses of habitat complexity metrics to the complete destruction of a coral reef and provides us with insights into how choices of habitat complexity metrics can affect quantitative assessments of 3D habitat structure.

Correlating Problem/Process Exam Question Complexity to Anticipated Effort: A Modeling Protocol

2013 ◽  
Author(s):  
Samantha Thoe ◽  
Joshua D. Summers
Keyword(s):  
Graphical Models ◽  
Historical Data ◽  
Graphical Representation ◽  
Structural Complexity ◽  
Market Value ◽  
Problem Solution ◽  
Problem Difficulty ◽  
Rater Agreement ◽  
Complexity Metrics ◽  
Function Models

This paper presents the initial investigation of the use of complexity as a surrogate for problem difficulty in predicting the effort or point value of an exam problem. In previous research, complexity of graph-based models has been used to predict market value of products using function models and to predict assembly time from connectivity graphs. This research investigates the potential of applying graphical representations and complexity metrics for exam problem solutions using expert assigned values as an appropriate method to offer point values for new exam questions. The factors and sources of problem difficulty are examined and compared to the structural complexity of a graphical representation of the problem solution. Specifically, this paper presents a protocol for developing the graphical representation. Multiple participants used the protocol to create graphical models of three exam questions to test and validate the usability of the protocol. A secondary protocol was tested to improve the rater agreement for use of the protocol. This protocol will be used for transforming exam problems into graphical models that can be analyzed with the connectivity complexity metrics. These metrics will be used to create predictive models for point assignments based on historical data.

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