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1  structure (indicated by both thetaPATCH and spatial autocorrelation).
2  predictive performance while accounting for spatial autocorrelation.
3 2017 to 2019, accounting for confounders and spatial autocorrelation.
4 Bayesian multilevel modeling, accounting for spatial autocorrelation.
5 cation, overlap among breeding locations and spatial autocorrelation.
6  spatial data, this effect is referred to as spatial autocorrelation.
7 ly through differences in watershed size nor spatial autocorrelation.
8 g spatially explicit models that account for spatial autocorrelation.
9 ding well-defined hexagonal structure in the spatial autocorrelation.
10 gression, with random effects to account for spatial autocorrelation.
11 vel logistic regression model accounting for spatial autocorrelation.
12 ci were analysed using both F-statistics and spatial autocorrelation.
13 sting for population size and accounting for spatial autocorrelation.
14  a directed acyclic graph and accounting for spatial autocorrelation.
15 sting for neighborhood-level confounders and spatial autocorrelation.
16 e flow, mainly driven by fine-scale positive spatial autocorrelations.
17 olution, with higher heterogeneity and lower spatial autocorrelation accelerating the rise in impreci
18                 Bivariate local indicator of spatial autocorrelation analyses identified clusters of
19                                              Spatial autocorrelation analyses indicated that rapid ra
20                                              Spatial autocorrelation analyses of 12 allozyme loci wer
21                                              Spatial autocorrelation analyses of kinship coefficients
22                                Gene maps and spatial autocorrelation analyses suggest that population
23                                              Spatial autocorrelation analyses, including Global Moran
24                                           In spatial autocorrelation analyses, the overall correlogra
25 d significant isolation by distance based on spatial autocorrelation analyses.
26                                     Both the spatial autocorrelation analysis and estimates from fluo
27                                              Spatial autocorrelation analysis indicated localized gen
28                                              Spatial autocorrelation analysis indicated some evidence
29  patches were deduced from a two-dimensional spatial autocorrelation analysis of NSOM images that res
30              The results of global and local spatial autocorrelation analysis showed that the HFRS ep
31                                              Spatial autocorrelation analysis using Moran's Index det
32                  By using the LMDI approach, spatial autocorrelation analysis, and barycenter analysi
33 this study, seasonal decomposition analysis, spatial autocorrelation analysis, and space-time scan st
34                     Through global and local spatial autocorrelation analysis, the spatial clustering
35                 The local Moran's I test for spatial autocorrelation and correlograms assessing space
36 MERINGUE, a computational framework based on spatial autocorrelation and cross-correlation analysis t
37 eld data on species richness, host identity, spatial autocorrelation and disease prevalence.
38 eas delta(13)C and delta(15)N exhibited weak spatial autocorrelation and limited interpolative value.
39 e assessed overdose incident data for global spatial autocorrelation and local clustering, then used
40  random effects effectively accounts for the spatial autocorrelation and reduces inflation of type-I
41   Dispersal limitation was suggested by both spatial autocorrelation and the detection of population
42  study of Soay sheep on St Kilda to test how spatial autocorrelation and vegetation in an individual'
43 hen using statistical models controlling for spatial autocorrelations and robust to variations in ana
44 c size and disease pattern (characterized by spatial autocorrelation), and its dependence on dispersa
45  topology changes during aging are driven by spatial autocorrelation, and multiple serotonergic drugs
46 ease-, and geographic-level sampling biases, spatial autocorrelation, and the lack of independence of
47 n (BH) t-SNE and UMAP and propose the use of spatial autocorrelation as a means of comparing the resu
48  3D data sets, accounting for effects due to spatial autocorrelation becomes even more indispensable.
49                       We found a significant spatial autocorrelation between ADI and the prevalence o
50 of these families that eDNA samples overcome spatial autocorrelation biases associated with the class
51 eneralized linear mixed model to account for spatial autocorrelation, block group demographics, house
52             We assessed the degree of global spatial autocorrelation by using Moran's I statistic and
53                          In many cases, this spatial autocorrelation can be accounted for by using co
54 stem, and species distributions with reduced spatial autocorrelation compared to commonly used interp
55            Using a novel algorithm combining spatial autocorrelation detection and principal componen
56              We show that, by accounting for spatial autocorrelation, discovery rates (i.e., the rati
57                                  Significant spatial autocorrelation exists in COVID-19 mortality in
58                               We compute the spatial autocorrelation function of the selected genes a
59                                          The spatial autocorrelation functions of the resulting image
60 l cause of the invalid cluster inferences is spatial autocorrelation functions that do not follow the
61 ically according to analyses techniques like spatial autocorrelation, grid scores, and modifiable are
62 000 m to show that bacteria have significant spatial autocorrelation in community composition up to a
63                      We assessed the role of spatial autocorrelation in driving model performance by:
64 ixed habitat heterogeneity, increasing local spatial autocorrelation in habitat generally has a benef
65                    Our results indicate that spatial autocorrelation in local weather has increased w
66                                              Spatial autocorrelation in malaria incidence was explore
67 autoregressive (SAR) models that account for spatial autocorrelation in response and predictors were
68  aerosol precursors are leading to declining spatial autocorrelation in the aerosol fields and increa
69 ffect contiguous blocks of sites, increasing spatial autocorrelation in the disturbances has a harmfu
70                                              Spatial autocorrelation in the residuals of spatial envi
71                 Our findings indicate strong spatial autocorrelation in the timing of agricultural ad
72               In this study, we investigated spatial autocorrelation in three different matrix-assist
73 n distant members of their species, creating spatial autocorrelations in genetic data.
74 estation based on a decomposition of Moran's spatial autocorrelation index; and second, develop a Gau
75 lysis of spatial patterns using a measure of spatial autocorrelation indicated that counties with mos
76                                              Spatial autocorrelations indicated a significant spatial
77 ck cross-validation scheme, as the effect of spatial autocorrelation is minimized, while the cross-va
78                   The minimization of global spatial autocorrelation is used to choose the optimal sp
79                          Local indicators of spatial autocorrelation (LISA) identified clusters of ad
80 ran's Index statistic and Local Indicator of Spatial Autocorrelation (LISA).
81 ution of predicted movement properties (i.e. spatial autocorrelation, mean, and variance of RT and Tt
82                                              Spatial autocorrelation, measured by Global Moran I, dec
83                           Here, we propose a spatial autocorrelation method based on Local Moran's I
84  to 2019, this paper uses location quotient, spatial autocorrelation methods and spatial econometric
85 del to account for social network effects, a spatial autocorrelation model to capture spatial depende
86 ty model, landscape pattern index, bivariate spatial autocorrelation model, coupling degree and coupl
87 e-based prediction algorithms, we identified spatial autocorrelation molecular descriptors that defin
88 networks improves the ability to capture the spatial autocorrelation observed in the empirical diffus
89                                     Thus the spatial autocorrelation observed is probably not just a
90                                              Spatial autocorrelation of model residuals indicated tha
91 Finally, we assessed the reproducibility and spatial autocorrelation of nano- and micronscale protein
92 ation in the murid genome by calculating the spatial autocorrelation of nucleotide substitution rates
93 ement between states is thought to limit the spatial autocorrelation of O. nubilalis.
94                                     A strong spatial autocorrelation of outdoor PM(2.5) values (Moran
95                                              Spatial autocorrelation of rates is the propensity of re
96                      In landscapes with high spatial autocorrelation of RT and TtoR, a high variation
97                 Genetic similarity (positive spatial autocorrelation) of wolverines was detected up t
98          Independent of host body weight and spatial autocorrelation, plant functional traits predict
99 fferent development levels, and in different spatial-autocorrelation positions.
100 -to-map similarity is enabled via a suite of spatial autocorrelation-preserving null models.
101 ine, and evidence for short-distance genetic spatial autocorrelation provided evidence of diffusive d
102  highly significant spatial structuring with spatial autocorrelation ranges of 54-133 m, but beyond t
103 measure eye movements, showed no significant spatial autocorrelations, ruling out eye movements as th
104                                            A spatial autocorrelation (SA) treatment of S locus and al
105 flaw in the validation methods, which ignore spatial autocorrelation (SAC) in data, leading to overop
106                        The results show that spatial autocorrelation statistics are highly predictabl
107  characterizes the statistical properties of spatial autocorrelation statistics in this context and d
108 imensional stomatal distributions based upon spatial autocorrelation statistics used in astrophysics.
109                                   Social and spatial autocorrelation statistics were calculated to as
110 rocesses, can be analyzed in detail by using spatial autocorrelation statistics.
111                                              Spatial autocorrelation tests identified geographic clus
112        We used hierarchical F-statistics and spatial autocorrelation to characterize spatial genetic
113 lly, we tested the SIRs for global and local spatial autocorrelation to identify disease hotspots at
114 terised according to their heterogeneity and spatial autocorrelation to investigate their effect on t
115  negative binomial regression models without spatial autocorrelations to investigate the relationship
116  Here we use variograms, a quantification of spatial autocorrelation, to profile how function changes
117                                     Positive spatial autocorrelation (two-sided p = 0.001) revealed t
118  recover very quickly from damage; herbivore spatial autocorrelation was always weak.
119                                  Significant spatial autocorrelation was detected in all three data s
120                                  Presence of spatial autocorrelation was established using Moran's I
121 tance between pond study sites) and negative spatial autocorrelation was observed at 100-150 km and w
122                                  Significant spatial autocorrelation was observed for site amino acid
123                                        Local spatial autocorrelation was predominantly characterized
124                                     Positive spatial autocorrelation was recorded for urban and nonur
125       Using measures of genetic distance and spatial autocorrelation, we compared metrics between sex
126 By using phylogenetic history to correct for spatial autocorrelation, we illustrate how a fundamental
127                                  Significant spatial autocorrelations were detected over larger scale
128 bal Moran I and bivariate local indicator of spatial autocorrelation, were conducted to assess geogra
129 that plant populations will exhibit internal spatial autocorrelation when propagule flow is restricte
130 as a quasi-regular lattice and analyzed with spatial autocorrelation, yielding parameters that quanti

 
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