Results 1 to 10 of about 9,305 (198)
Jack knifing for semivariogram validation [PDF]
The semivariogram function fitting is the most important aspect of geostatistics and because of this the model chosen must be validated. Jack knifing may be one the most efficient ways for this validation purpose. The objective of this study was to show the use of the jack knifing technique to validate geostatistical hypothesis and semivariogram models.
Vieira, Sidney Rosa +2 more
openaire +3 more sources
In the wild, individuals consistently differ in movement and space use behaviours, depending on their personality. This variation can lead to personality–habitat associations and spatial structuring, potentially generating individual niche segregation.
Inès Khazar +7 more
wiley +1 more source
Read the free Plain Language Summary for this article on the Journal blog. Abstract Organic phosphorus mineralization is a critical process in the phosphorus cycle, governing phosphorus bioavailability for plants. The PhoD gene, which encodes the key enzyme alkaline phosphatase, serves as a valuable biomarker for this process.
Sandhya Mishra +3 more
wiley +1 more source
Larval diet breadth and wingspan mediate landscape–richness relationship in butterfly communities
Read the free Plain Language Summary for this article on the Journal blog. Abstract Landscape structure and species traits both shape butterfly assemblages, but their joint effects, and how landscapes restructure trait space independently of richness, remain less understood.
Dušanka Vujanović +10 more
wiley +1 more source
We compared genetic diversity and spatial genetic structure in the snapping turtle (Chelydra serpentina; left panel), Blanding's turtle (Emydoidea blandingii; bottom right), and spotted turtle (Clemmys guttata; top right) sampled in areas of co‐occurrence across ~49,160 km2.
Christina M. Davy +3 more
wiley +1 more source
A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces
Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri +3 more
wiley +1 more source
Bayesian Inference for Spatially‐Temporally Misaligned Data Using Predictive Stacking
ABSTRACT Air pollution remains a major environmental risk factor that is often associated with adverse health outcomes. However, quantifying and evaluating its effects on human health is challenging due to the complex nature of exposure data. Recent technological advances have led to the collection of various indicators of air pollution at increasingly
Soumyakanti Pan, Sudipto Banerjee
wiley +1 more source
Semivariogram analysis of bone images implemented on FPGA architectures [PDF]
Osteoporotic fractures are a major concern for the healthcare of elderly and female populations. Early diagnosis of patients with a high risk of osteoporotic fractures can be enhanced by introducing second-order statistical analysis of bone image data using techniques such as variogram analysis.
Mukul Shirvaikar +2 more
openaire +2 more sources
Abstract Volcano deformation measured through Interferometric Synthetic Aperture Radar (InSAR) is ideal for volcano monitoring in many regions due to its global coverage, characteristic spatio‐temporal patterns, and modeling insights. Routinely acquired and processed Sentinel‐1 InSAR datacubes provide the first opportunity to systematically catalog ...
B. Ireland +4 more
wiley +1 more source
ABSTRACT This research provides new directions in conceptualizing emotional geographies at the landscape level using a combination of textual deep learning (DL) and GPT‐based spatial emotion detection and interpolation using 3D empirical Bayesian kriging.
Christopher J. Anderson
wiley +1 more source

