نتایج جستجو برای: spatial autocorrelation

تعداد نتایج: 370261  

2017
Jun Ma Jianhua Xiao Xiang Gao Boyang Liu Hao Chen Hongbin Wang

Foot-and-mouth disease (FMD) is a highly contagious disease of cloven-hoofed animals. An outbreak of FMD can produce devastating economic losses for a considerable length of time. In order to investigate the distribution characteristics of FMD in China, data from 2010 to 2016 were collected, including information on 65 outbreaks of FMD (25 by serotype A and 40 by serotype O), and 5,937 diseased...

2005
René Fahr Uwe Sunde IZA Bonn

Regional Dependencies in Job Creation: An Efficiency Analysis for Western Germany This paper investigates the efficiency of the matching process between job seekers and vacancy posting firms in West-Germany, using variation across labor market regions and across time. The results of a stochastic frontier analysis shed new light on extent and regional differences of search frictions, on potentia...

2007
Faisal G. Khamis Abdul Aziz Jemain

In this study, we examined the geographical distribution (the spatial structure) of mortality and prosperity in Malaysia. In addition we proposed an approach to investigate the association between clustering patterns of mortality and prosperity across different areas of the country. To characterize the geographic pattern of mortality and prosperity, three indicators (infant, neonatal, and still...

Journal: :Genetics 1995
G Bertorelle G Barbujani

Two statistics are proposed for summarizing spatial patterns of DNA diversity. These autocorrelation indices for DNA analysis, or AIDAs, can be applied to RFLP and sequence data; the resulting set of autocorrelation coefficients, or correlogram, measures whether, and to what extent, individual DNA sequences or haplotypes resemble the haplotypes sampled at arbitrarily chosen spatial distances. A...

Journal: :Genetics 1990
B K Epperson

The spatial distributions of genetic variation under selection-mutation equilibrium within populations that have limited dispersal are investigated. The results show that directional selection with moderate strength rapidly reduces the amount of genetic structure and spatial autocorrelations far below that predicted for selectively neutral loci. For the latter, homozygotes are spatially cluster...

2005
E. Anthon

Positive autocorrelation implies that proximate observations take on similar values. “Proximate” can be defined in many different dimensions. In a cross-section of nations, it can be defined using physical distance, cultural similarity, ecological similarity, or using frequency and intensity of interaction, such as trade relationships or enemy and ally relationships. Autocorrelation of regressi...

2002
Stefania Bertazzon

Admittedly the most crucial and the most neglected aspect of the spatial regression analysis, spatial contiguity remains an ambiguous concept that is largely dependent on the type of spatial units used and the characteristics of each application. The application of regression analysis to spatial data raises computational as well as conceptual issues. Computational issues consist in statistical ...

2009
Matthew G. Betts Lisa M. Ganio Manuela M. P. Huso Nicholas A. Som Falk Huettmann Jeff Bowman Brendan A. Wintle M. G. Betts

M. G. Betts ([email protected]), L. M. Ganio, M. M. P. Huso and N. A. Som, Dept of Forest Ecosystems and Society, Oregon State Univ., Corvallis, OR 97331, USA. F. Huettmann, Biology and Wildlife Dept, Inst. of Arctic Biology, Univ. of Alaska-Fairbanks, Fairbanks, AK 99775-7000, USA. J. Bowman, Ontario Ministry of Natural Resources, Wildlife Research and Development Section, 2140 Eas...

2015
Duncan Lee Jon Minton Gwilym Pryce

The degree of segregation between two or more sub-populations has been studied since the 1950s, and examples include segregation along racial and religious lines. The Dissimilarity index is a commonly used measure to numerically quantify segregation, using population level data for a set of areal units that comprise a city or country. However, the construction of this index usually ignores the ...

Journal: :Ecology 2017
Trevor J Hefley Kristin M Broms Brian M Brost Frances E Buderman Shannon L Kay Henry R Scharf John R Tipton Perry J Williams Mevin B Hooten

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 functions. Basis functions also enable ecologists to modify a wide range of existing ecological models in order to account for autocorrelation, wh...

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