Results 21 to 30 of about 1,562 (177)
Linking morphology and function is critical to understanding the evolution of organismal shape. Performance landscapes, or performance surfaces, associate empirical functional performance data with a morphospace to assess how shape variation relates to ...
Stephanie M. Smith +2 more
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Intrinsic Random Function Kriging on the Sphere
Abstract Intrinsic random functions (IRFs) can be used to model spatial processes on the sphere. To perform kriging using IRFs, one needs the knowledge of the IRF order (i.e., the degree of non-homogeneity) and its associate generalized covariance function, which are challenging in Euclidean spaces and hinder its practice.
Nicholas W. Bussberg +2 more
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Gap-filling a spatially explicit plant trait database: comparing imputation methods and different levels of environmental information [PDF]
The ubiquity of missing data in plant trait databases may hinder trait-based analyses of ecological patterns and processes. Spatially explicit datasets with information on intraspecific trait variability are rare but offer great promise in improving ...
R. Poyatos +7 more
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Background & objectives: The Department of Health Research and the Indian Council of Medical Research, Government of India, have established Virus Research and Diagnostic Laboratory Network (VRDLN) to strengthen the laboratory capacity in the country for
Vasna Joshua +8 more
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Study region: Europe. A total of 660, 522, and 4940 soil samples belonging to GRIZZLY, HYPRES, and EU-HYDI databases, respectively, were used for parametric evaluation.
P. Nasta, B. Szabó, N. Romano
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Improving Estimations of Spatial Distribution of Soil Respiration Using the Bayesian Maximum Entropy Algorithm and Soil Temperature as Auxiliary Data. [PDF]
Soil respiration inherently shows strong spatial variability. It is difficult to obtain an accurate characterization of soil respiration with an insufficient number of monitoring points. However, it is expensive and cumbersome to deploy many sensors.
Junguo Hu +6 more
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Variograms for kriging and clustering of spatial functional data with phase variation
Spatial, amplitude and phase variations in spatial functional data are confounded. Conclusions from the popular functional trace-variogram, which quantifies spatial variation, can be misleading when analyzing misaligned functional data with phase variation.
Xiaohan Guo +2 more
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Analysis and spatial prediction of water retention curves in two types of soil
Soil is a medium that stores and transfers air, water, nutrients and heat to microorganisms and plants. Its water storage capacity is studied by analysing water retention curves (WRCs), which establish the relationship between soil water content and the ...
Diego L. Cortés-Delgadillo +2 more
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Spatial prediction of soil penetration resistance using functional geostatistics
Knowledge of agricultural soils is a relevant factor for the sustainable development of farming activities. Studies on agricultural soils usually begin with the analysis of data obtained from sampling a finite number of sites in a particular region of ...
Diego Leonardo Cortés-D +2 more
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In recent years, wall-climbing robots have begun to replace manual work at heights to reduce economic losses and casualties caused by working at heights. This paper designs a negative pressure adsorption type wall-climbing robot and analyzes the internal
Yi Fang +5 more
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