Results 41 to 50 of about 492,455 (357)
Geostatistical-based index for spatial variability in soil properties [PDF]
Revista Brasileira de Ciência do SoloThe assessment of spatial variability of environmental variables such as soil properties is important for site-specific management. A geostatistical index that allows quantifying and characterizing the structure of spatial variability is fundamental in ...
Edemar Appel Neto +2 more
doaj +2 more sources
Study of a new simulation algorithm for dynamical quarks on the APE-100 parallel computer
, 1994 First results on the autocorrelation behaviour of a recently proposed fermion algorithm by M. L\"uscher are presented and discussed. The occurence of unexpected large autocorrelation times is explained.
B. Jegerlehner +4 more
core +1 more source
Residual spatial autocorrelation in macroecological and biogeographical modeling: a review
Journal of Ecology and Environment, 2019 Macroecologists and biogeographers continue to predict the distribution of species across space based on the relationship between biotic processes and environmental variables. This approach uses data related to, for example, species abundance or presence/
Guetchine Gaspard, Daehyun Kim, Y. Chun
semanticscholar +1 more source
Transmissibility in Interactive Nanocomposite Diffusion: The Nonlinear Double-Diffusion Model
Frontiers in Applied Mathematics and Statistics, 2022 Model analogies and exchange of ideas between physics or chemistry with biology or epidemiology have often involved inter-sectoral mapping of techniques.
Amit K. Chattopadhyay +4 more
doaj +1 more source
The econometric study of dependencies in the construction sector of Azerbaijan [PDF]
Business & IT, 2020 The study aims to identify the issues of a quantitative assessment of the dependencies between indicators in the residential buildings of the construction sector in the Republic of Azerbaijan.
Leyla Huseynova +2 more
doaj +1 more source
Arthritis Care &Research, EarlyView.Objective This study aimed to evaluate the impact of a series of policies that mandated switching patients with inflammatory arthritis (IA) from an originator biologic to a biosimilar in British Columbia, Canada, on health care resource use and cost.
HaoHung Dang +4 more
wiley +1 more source
Dataset Reduction Techniques to Speed Up SVD Analyses on Big Geo-Datasets
ISPRS International Journal of Geo-Information, 2019 The Singular Value Decomposition (SVD) is a mathematical procedure with multiple applications in the geosciences. For instance, it is used in dimensionality reduction and as a support operator for various analytical tasks applicable to spatio-temporal ...
Laurens Bogaardt +3 more
doaj +1 more source
Fast Spatial Autocorrelation [PDF]
2020 IEEE International Conference on Data Mining (ICDM), 2020 Physical or geographic location proves to be an important feature in many data science models, because many diverse natural and social phenomenon have a spatial component. Spatial autocorrelation measures the extent to which locally adjacent observations of the same phenomenon are correlated. Although statistics like Moran's $I$ and Geary's $C$ are
Anar Amgalan +2 more
openaire +1 more source
A Machine Learning Method for Detecting Autocorrelation of Evolutionary Rates in Large Phylogenies
Molecular biology and evolution, 2019 New species arise from pre-existing species and inherit similar genomes and environments. This predicts greater similarity of the tempo of molecular evolution between direct ancestors and descendants, resulting in autocorrelation of evolutionary rates in
Qiqing Tao +3 more
semanticscholar +1 more source
The basis function approach for modeling autocorrelation in ecological data. [PDF]
Ecology, 2016 Analyzing ecological data often requires modeling the autocorrelation created by spatial and temporal processes. Many seemingly disparate statistical methods used to account for autocorrelation can be expressed as regression models that include basis ...
T. Hefley +8 more
semanticscholar +1 more source