Results 281 to 290 of about 188,264 (321)

Spatial Analysis and Identification of High Risk Areas of Human Brucellosis by Spatial Autocorrelation Measurement Methods

, 2018
payman Abbasi, Majid Kiavarz, Mohammad Abbasi   +2 more
openalex   +1 more source

Informed Dictionary‐Guided Monte Carlo Inversion for Robust and Reproducible Multidimensional MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a robust and efficient multidimensional MRI (MD‐MRI) data processing framework for accurately estimating joint frequency‐dependent diffusion‐relaxation distributions, while overcoming computational limitations and noise instability inherent to Monte Carlo (MC) inversion.
Joon Sik Park, Eppu Manninen, Yihong Yang, Dan Benjamini   +3 more
wiley   +1 more source

Spatial Image Gradient Estimation From the Diffusion MRI Profile

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose In the course of diffusion, water molecules encounter varying values for the relaxation‐time properties of the underlying tissue. This factor, which has rarely been accounted for in diffusion MRI (dMRI), is modeled in this work, allowing for the estimation of the gradient of relaxation‐time properties from the dMRI signal. Methods With
Iman Aganj, Thorsten Feiweier, John E. Kirsch, Bruce R. Fischl, Andre J. van der Kouwe   +4 more
wiley   +1 more source

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Spatial Autocorrelation

2021
Spatial autocorrelation is an assessment of the correlation between two random variables which describe the same aspect of the phenomenon under study, referred to two locations of the domain. The suffix “auto” is justified since in some sense the spatial autocorrelation quantifies the correlation of a variable with itself over space.
Posa D., De Iaco S.
openaire   +3 more sources

Spatial Interaction and Spatial Autocorrelation

2008
The objective is to combine insights from two research traditions, spatial interaction modelling and spatial autocorrelation modelling, to deal with the issue of spatial autocorrelation in spatial interaction data analysis. First, the problem is addressed from an exploratory perspective for which a generalisation of the Getis–Ord G statistic is ...
Fischer, Manfred M., Reismann, Martin, Scherngell, Thomas   +2 more
openaire   +2 more sources

Spatial autocorrelation

Geographic Information Science & Technology Body of Knowledge, 2005
Spatial autocorrelation (SA)—the correlation among georeferenced observations arising from their relative locations in geographic space—has a history dating to the mid-1900s, although conceptual awareness of it dates back to the early 1900s. But SA is everywhere.
openaire   +1 more source

Spatial Autocorrelation

2018
This chapter respects the six procedures of spatial autocorrelation covered by myGeoffice©, including variogram setup and fitness, Moran I correlograms, an innovative version of the conventional Moran scatterplot and the recent Moran variance scatterplot.
openaire   +1 more source

Spatial Autocorrelation.

Journal of the American Statistical Association, 1974
Alexander Lebanon, A. D. Cliff, J. K. Ord   +2 more
openaire   +2 more sources

Spatial autocorrelation of ecological phenomena

Trends in Ecology & Evolution, 1999
Ecological variables often fluctuate synchronously over wide geographical areas, a phenomenon known as spatial autocorrelation or spatial synchrony. Development of statistical approaches designed to test for spatial autocorrelation combined with the increasing accessibility of long-term, large-scale ecological datasets are now making it possible to ...
openaire   +2 more sources

Spatial Autocorrelation

2009
Marie-Josée Fortin, Mark R.T. Dale
  +4 more sources