Results 11 to 20 of about 665,694 (315)
THE CORRELATION STRUCTURE OF SPATIAL AUTOREGRESSIONS [PDF]
Econometric Theory, 2012 This paper investigates how the correlations implied by a first-order simultaneous autoregressive (SAR(1)) process are affected by the weights matrix and the autocorrelation parameter. A graph theoretic representation of the covariances in terms of walks connecting the spatial units helps to clarify a number of correlation properties of the processes ...
Martellosio, F, Martellosio, Federico
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b-steve/spatial-correlation-scr: Initial release
, 2021 Code and data to accompany the paper "Spatial correlation structures for detections of individuals in spatial capture-recapture ...
Ben Stevenson
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Frontiers in Earth Science, 2022 An accurate characterization of earthquake ground motion and its variability is crucial for seismic hazard and risk analysis of spatially distributed portfolios in urban areas.
J. Lin, C. Smerzini
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Spatial correlated vortex arrays
Optics Express, 2022 Spatial correlated vortex arrays may form in the same beam when a random source contains multiple helical phase structures. We introduced two types of partially coherent sources with Cartesian and polar symmetric helical phase structure and reveal the characteristics of their radiated fields, respectively.
Zhangrong Mei +3 more
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Ecology and Evolution, 2023 Regional habitat quality is an important reflection of ecosystem services and ecosystem health. Exploring the characteristics of habitat quality changes and revealing the vulnerability of regional ecosystems caused could provide reference for the ...
Li Gu, Jiabo Yan, Yurong Li, Zhiwen Gong
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Denoising by spatial correlation thresholding [PDF]
IEEE Transactions on Circuits and Systems for Video Technology, 2003 This paper presents a spatial-correlation thresholding scheme for noise reduction by wavelet transform. Observing that edge structures are of high magnitude across wavelet scales but noise decays rapidly, we multiply two adjacent wavelet scales to form a spatial-correlation function to enhance significant structures and dilute noise.
Lei Zhang 0006, Paul Bao
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Journal of Multivariate Analysis, 2015 A new robust correlation estimator based on the spatial sign covariance matrix (SSCM) is proposed. We derive its asymptotic distribution and influence function at elliptical distributions. Finite sample and robustness properties are studied and compared to other robust correlation estimators by means of numerical simulations.
Alexander Dürre +2 more
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Shuitu baochi tongbao, 2022 [Objective] The temporal and spatial change characteristics of a soil conservation function in Southern Jiangxi Province were analyzed in order to provide a scientific basis for improving soil conservation capacity and maintaining an ecological security ...
Luo Chengkang +5 more
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The Assessment Of Geographical Borders In Economic Research
Comparative Economic Research, 2016 The length of common border between two geographical units is frequently used as a basic weight in spatial analysis. The newest methodological propositions such as tests for hierarchical relations (Markowska et. al. 2014; Sokołowski et. al.
Małgorzata Markowska, Marek Sobolewski
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Spatial Correlation Robust Inference
Econometrica, 2022 We propose a method for constructing confidence intervals that account for many forms of spatial correlation. The interval has the familiar “estimator plus and minus a standard error times a critical value” form, but we propose new methods for constructing the standard error and the critical value.
Müller, Ulrich K., Watson, Mark W.
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