Detection Of Spatial Correlations Research Articles

Whether There Is a Competition between the Interprovincial Governments on Fiscal Expenditure —From the Detection of Spatial Correlation

The fiscal decentralization gives the local government economic participation status. Is there a spatial spillover effect in the process of local government financial expenditure? This paper introduces the spatial econometric model, and applies the 2005-2016 data to test the spatial correlation of the whole country by calculating the Moran’s I index and the Geary index C. At the same time, we use the local Moran’s index to detect the degree of agglomeration between regions. The results show that there is a significant spatial spillover effect between regions. There are policy imitation behaviors in the region and adjacent areas, and there is a high value and high value agglomeration among regions, as well as a trend of low value and low value agglomeration.

Detection of Spatial Correlations in Protein Structures and Molecular Complexes

SummaryProtein structures are frequently related by spectacular and often surprising similarities. Structural correlations among protein chains are routinely detected by various structure-matching techniques, but the comparison of oligomers and molecular complexes is largely uncharted territory. Here we solve the structure-matching problem for oligomers and large molecular aggregates, including the largest molecular complexes known today. We provide several challenging examples that cannot be handled by conventional structure-matching techniques and we report on a number of remarkable correlations. The examples cover the cell-puncturing device of bacteriophage T4, the secretion system of P. aeruginosa, members of the dehydrogenase family, DNA clamps, ferredoxin iron-storage cages, and virus capsids.

A Geospatial Analysis of China's Exports, 1991-2008

Three Taiwan-based economists employ a range of exploratory spatial data analysis tools (e.g., Moran's I and LISA statistics) to investigate trends in the growth of China's exports over the period 1991-2008. A particular focus is on the detection of spatial correlations between China and 40 export destination countries in major world regions. Emphasis in the paper on the key years of 1991, 2001, 2006, and 2008 has enabled the authors to analyze the impacts on China's trade of such major events as the country's accession to the World Trade Organization and the global economic crisis of 2008-2009. The results of the spatial analysis reveal the continuing importance of the U.S. and Asian countries in China's export trade (despite changes in the character of trade relations) and identify the spatial outliers (e.g., in Latin America) that may serve as the basis for new export markets for China in the future.

Detection of spatial correlations in an ultracold gas of fermions.

Spatial correlations are observed in an ultracold gas of fermionic atoms close to a Feshbach resonance. The correlations are detected by inducing spin-changing rf transitions between pairs of atoms. We observe the process in the strongly interacting regime for attractive as well as for repulsive atom-atom interactions and both in the regime of high and low quantum degeneracy. The observations are compared with a two-particle model that provides theoretical predictions for the measured rf transition rates.

Comment on “Detection of Spatial Correlations Among Aerosol Particles”

Comment on “Detection of Spatial Correlations Among Aerosol Particles”

Response from Authors to Comment on “Detection of Spatial Correlations Among Aerosol Particles”

The likelihood of this scenario can be estimated by a closer examination of the counter operation. Our counter (CLIMET CI-8060) has two voltage thresholds for each size bin; a higher one for the detection of a particle (“On”) and another, lower, for the particle exit (“Off”). Hence, in order for a “phantom” to occur, not only must the voltage fall below the “Off” value, but it also must jump back above the large-size “On” value. For the CLIMET CI-8060, we found (and confirmed by direct observation of analog pulses) that the 5‐10 µm bin has Von = 2.85 V and Voff = 2.825 V with the resulting (� V )(5‐10 µm) = 25 mV. Since the smallest size bin (0.3‐0.5 µm) has Von = 22 mV, not all particles will be able to falsely trigger the counter and the following calculation is an overestimate. For data reported in Larsen et al. (2003) and redisplayed in Figure 1, we can estimate from the top panel that the number density in the smallest size bin is (2 × 10 4 )/(5 s) ≈ 4 × 10 3

Detection of Spatial Correlations among Aerosol Particles

Most approaches for evaluating rates of fundamental processes in aerosol science depend upon the implicit assumption that aerosol particles are independently and identically distributed in space. The validity of this assumption has not been examined in several decades, despite the fact that the presence of correlations can be shown to alter theoretical expressions significantly for such phenomena as attenuation of electromagnetic radiation and coagulation rate. Here, we provide evidence that the classification of the positions of aerosol particles as a Poisson process--even under stationary conditions--is often in error. In particular, small-scale aerosol clustering is experimentally demonstrated. Some consequences of these findings are discussed.