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spatial autocorrelation

What is the Role of Heterogeneity and Spatial Autocorrelation of Ponds in the Organization of Frog Communities in Southern Brazil?

What is the Role of Heterogeneity and Spatial Autocorrelation of Ponds in the Organization of Frog Communities in Southern Brazil?

... the spatial distribution of ponds determined using the principal coordinates of the neighbor matrices algorithm (PCNM) (Borcard and Legendre ...as spatial autocorrelation, refers to the potential ...

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Negligible Influence of Spatial Autocorrelation in the Assessment of Fire Effects in a Mixed Conifer Forest

Negligible Influence of Spatial Autocorrelation in the Assessment of Fire Effects in a Mixed Conifer Forest

... estimating spatial auto- correlation (the correspondence of nearby sam- pling units) and temporal autocorrelation (the similarity of samples measured repeatedly over time), and controlling for these ...

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The impact of the spatial superimposition of point based statistical
configurations on assessing spatial autocorrelation

The impact of the spatial superimposition of point based statistical configurations on assessing spatial autocorrelation

... estimators, spatial autocorrelation measures and spatial regression models (Getis 2008) are applied to investigate the interaction behaviour within spatial random variables (Fischer ...2010). ...

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Patterns of livestock activity on heterogeneous subalpine pastures reveal distinct responses to spatial autocorrelation, environment and management

Patterns of livestock activity on heterogeneous subalpine pastures reveal distinct responses to spatial autocorrelation, environment and management

... In certain applied studies that sought to shift grazing activity to less favored areas [20, 21] or to promote open- ing of shrub-encroached pastures [11, 22], the distribution of grazers within heterogeneous landscapes ...

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Mapping poverty hot spots in Peninsular Malaysia using spatial autocorrelation analysis

Mapping poverty hot spots in Peninsular Malaysia using spatial autocorrelation analysis

... Through spatial autocorrelation analysis the pattern of distribution of poverty in space over a period of time can easily be visualised and hotspots of incidence of poverty ...

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“In Space” or “As Space”?: Spatial Autocorrelation Properties of the Earth’s Interior

“In Space” or “As Space”?: Spatial Autocorrelation Properties of the Earth’s Interior

... In this analysis, natural systems are posed to subsystemize in a manner facilitating both struc- tured information/energy sharing and an entropy maximization process projecting a three-di- mensional, spatial ...

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Uncertainty Analysis of Spatial Autocorrelation of Land Use and Land Cover Data within Pipestem Creek in North Dakota

Uncertainty Analysis of Spatial Autocorrelation of Land Use and Land Cover Data within Pipestem Creek in North Dakota

... to spatial serial data, mapping and interpolation of the data on a statistical platform that are related to a time analysis ...the spatial behavior and spatial distribution of parameters to minim- ...

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Local Spatial Autocorrelation Analysis of 3 Disease Prevalence: A Case Study of Korea

Local Spatial Autocorrelation Analysis of 3 Disease Prevalence: A Case Study of Korea

... Global autocorrelation analysis was implemented to derive the spatial characteristics of each disease prevalence rate, and local autocorrelation analysis was implemented to derive local ...

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Testing for spatial autocorrelation: the regressors that make the power disappear

Testing for spatial autocorrelation: the regressors that make the power disappear

... We show that for any sample size, any size of the test, and any weights matrix outside a small class of exceptions, there exists a positive measure set of regression spaces such that the power of the Cliff-Ord test ...

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Power Properties of Invariant Tests for Spatial Autocorrelation in Linear Regression

Power Properties of Invariant Tests for Spatial Autocorrelation in Linear Regression

... the autocorrelation parameter goes to the right boundary of the parameter space, to a family of (improper) distributions supported on a 1-dimensional subspace of the sample ...a spatial error model, it is ...

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A wavelet-based method to remove spatial autocorrelation in the analysis of species distributional data

A wavelet-based method to remove spatial autocorrelation in the analysis of species distributional data

... the spatial signature of their ...residual autocorrelation measured by Moran’s I is considerably reduced compared to ...any spatial patterns of regression residuals ...the spatial ...

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Investigating the Existence of Second Order Spatial Autocorrelation in Crash Frequency across Adjacent Freeway Segments

Investigating the Existence of Second Order Spatial Autocorrelation in Crash Frequency across Adjacent Freeway Segments

... of spatial autocorrelation across contiguous freeway ...with spatial proximity con- stitute traffic and geometric characteristics which influence crash occurrence in a simi- lar ...

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A poisson regression approach for modelling spatial autocorrelation between geographically referenced observations

A poisson regression approach for modelling spatial autocorrelation between geographically referenced observations

... Ignoring spatial autocorrelation can result in explana- tory variables apparently being associated with incidence as a result of overstatement of the degrees of freedom in the data and consequent ...

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Temporal and spatial distribution characteristics in the natural plague foci of Chinese Mongolian gerbils based on spatial autocorrelation

Temporal and spatial distribution characteristics in the natural plague foci of Chinese Mongolian gerbils based on spatial autocorrelation

... of spatial auto- correlation was used with Moran ’ s I to describe the entire spatial distribution pattern of the body fleas index computed using ...of spatial autocorrelation with cluster and ...

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A local scale sensitive indicator of spatial autocorrelation for assessing high  and low value clusters in multiscale datasets

A local scale sensitive indicator of spatial autocorrelation for assessing high and low value clusters in multiscale datasets

... datasets. Spatial autocorrelation can be assessed by following a two-step approach: First, the scale range of interest is extracted by relying on a new neighborhood ...the autocorrelation structure ...

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Bigger Is Better? An Empirical Analysis of Urban Compactness and Spatial Autocorrelation in Guangdong Province

Bigger Is Better? An Empirical Analysis of Urban Compactness and Spatial Autocorrelation in Guangdong Province

... the spatial analysis in order to analyze the time variation characteristics of urban compact- ness, the balance of urban compactness and the comparison between the com- pactness of urban morphology and urban ...

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Trading volume-induced spatial autocorrelation in real estate prices

Trading volume-induced spatial autocorrelation in real estate prices

... Spatial autocorrelation has played an increasingly important role in analyzing spatial data since the late ...for spatial autocorrelation in a hedonic pricing ...a spatial ...

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Spatial autocorrelation analysis of 13 leading malignant neoplasms in Taiwan: a comparison between the 1995 1998 and 2005 2008 periods

Spatial autocorrelation analysis of 13 leading malignant neoplasms in Taiwan: a comparison between the 1995 1998 and 2005 2008 periods

... Spatial autocorrelation methodologies, includ- ing Global Moran’s I and Local Indicators of Spatial Association statistic (LISA), were used to describe and map spatial clusters of 13 leading ...

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Treatment of Spatial Autocorrelation in Geocoded Crime Data

Treatment of Spatial Autocorrelation in Geocoded Crime Data

... modelling spatial data, when measurements at one location are influenced by the measurements at neighbouring or nearby locations, we say that spatial autocorrelation is ...analyse spatial ...

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Clustering multivariate spatial data based on local measures of spatial autocorrelation.

Clustering multivariate spatial data based on local measures of spatial autocorrelation.

... local spatial autocorrelation measures are a first step toward a possible solution to this ...of spatial data is that observations are dependent, and such feature must be incorporated in any sensible ...

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