A model for the prediction of R-tree performance

1996 ◽  
Author(s):  
Yannis Theodoridis ◽  
Timos Sellis
Keyword(s):  
Tree Performance

A buffer model for evaluating R-tree performance

1996 ◽  
Vol 24 (1) ◽  
pp. 264-265
Author(s):  
Scott T. Leutenegger ◽  
Mario A. Lopez
Keyword(s):  
Tree Performance

De-icing salt contamination reduces urban tree performance in structural soil cells

2018 ◽  
Vol 234 ◽  
pp. 562-571 ◽  
Author(s):  
Camilo Ordóñez-Barona ◽  
Vadim Sabetski ◽  
Andrew A. Millward ◽  
James Steenberg
Keyword(s):  
Urban Tree ◽  
Tree Performance

Corrigendum to “Tree performance and fruit yield and quality of ‘Okitsu’ Satsuma mandarin grafted on 12 rootstocks” [Scientia Hortic. 123 (2010) 318–322]

2012 ◽  
Vol 143 ◽  
pp. 220
Author(s):  
Tatiana Cantuarias-Avilés ◽  
Francisco de Assis Alves Mourão Filho ◽  
Eduardo Sanches Stuchi ◽  
Simone Rodrigues da Silva ◽  
Erick Espinoza-Núñez
Keyword(s):  
Fruit Yield ◽  
Satsuma Mandarin ◽  
Yield And Quality ◽  
Tree Performance

Treated wastewater irrigation: Soil variables and grapefruit tree performance

2018 ◽  
Vol 204 ◽  
pp. 126-137 ◽  
Author(s):  
Indira Paudel ◽  
Asher Bar-Tal ◽  
Guy J. Levy ◽  
Nativ Rotbart ◽  
Jhonathan E. Ephrath ◽  
...  
Keyword(s):  
Wastewater Irrigation ◽  
Treated Wastewater ◽  
Soil Variables ◽  
Treated Wastewater Irrigation ◽  
Tree Performance

The LBF R-Tree

2010 ◽  
pp. 1-27
Author(s):  
Todd Eavis
Keyword(s):  
Hilbert Space ◽  
Data Warehousing ◽  
Experimental Results ◽  
Data Sets ◽  
Space Filling ◽  
Fully Integrated ◽  
Space Filling Curve ◽  
Filling Curve ◽  
Common User ◽  
Tree Performance

In multi-dimensional database environments, such as those typically associated with contemporary data warehousing, we generally require effective indexing mechanisms for all but the smallest data sets. While numerous such methods have been proposed, the R-tree has emerged as one of the most common and reliable indexing models. Nevertheless, as user queries grow in terms of both size and dimensionality, R-tree performance can deteriorate significantly. Moreover, in the multi-terabyte spaces of today’s enterprise warehouses, the combination of data and indexes ? R-tree or otherwise ? can produce unacceptably large storage requirements. In this chapter, the authors present a framework that addresses both of these concerns. First, they propose a variation of the classic R-tree that specifically targets data warehousing architectures. Their new LBF R-tree not only improves performance on common user-defined range queries, but gracefully degrades to a linear scan of the data on pathologically large queries. Experimental results demonstrate a reduction in disk seeks of more than 50% relative to more conventional R-tree designs. Second, the authors present a fully integrated, block-oriented compression model that reduces the storage footprint of both data and indexes. It does so by exploiting the same Hilbert space filling curve that is used to construct the LBF R-tree itself. Extensive testing demonstrates compression rates of more than 90% for multi-dimensional data, and up to 98% for the associated indexes.

scholarly journals Beyond direct neighbourhood effects: higher-order interactions improve modelling and predicting tree survival and growth

2020 ◽  
Author(s):  
Yuanzhi Li ◽  
Margaret M Mayfield ◽  
Bin Wang ◽  
Junli Xiao ◽  
Kamil Kral ◽  
...  
Keyword(s):  
Species Diversity ◽  
Temperate Forest ◽  
Species Coexistence ◽  
Biotic Interactions ◽  
Higher Order ◽  
Individual Level ◽  
Pairwise Interactions ◽  
Tree Survival ◽  
Survival And Growth ◽  
Tree Performance

Abstract It is known that biotic interactions are the key to species coexistence and maintenance of species diversity. Traditional studies focus overwhelmingly on pairwise interactions between organisms, ignoring complex higher-order interactions (HOIs). In this study, we present a novel method of calculating individual-level HOIs for trees, and use this method to test the importance of size- and distance-dependent individual-level HOIs to tree performance in a 25-ha temperate forest dynamic plot. We found that full HOIs-inclusive models improved our ability to model and predict the survival and growth of trees, providing empirical evidence that HOIs strongly influence tree performance in this temperate forest. Specifically, assessed HOIs mitigate the competitive direct effects of neighbours on survival and growth of focal trees. Our study lays a foundation for future investigations of the prevalence and relative importance of HOIs in global forests and their impact on species diversity.

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