<p>Summary of natural streets (i.e. strokes) in each data set and the significance of spatial autocorrelation (<i>z</i>-scores) of the ‘name’ attribute in natural streets by join-count statistic.</p
Distinguishing the analysis of spatial data from classical analysis is only meaningful if the spati...
Positive autocorrelation implies that proximate observations take on similar values. “Proximate ” ca...
<p>(A) Represents correlogram from year 2008, (B) 2010, and (C) a single day. Significant distance c...
Spatial autocorrelation may be defined as the relationship among values of a single variable that co...
This article introduces measures to quantify spatial autocorrelation for vectors. In contrast to sca...
Spatial autocorrelation is an assessment of the correlation between two random variables which descr...
Abstract. Spatial autocorrelation must handle two kinds of geographic data. One is continuous valued...
<div><p>Spatial autocorrelation plays an important role in geographical analysis; however, there is ...
<p>Positive and negative values of Moran’s I indicate positive and negative spatial autocorrelation,...
<p>Left: autocorrelation of the infestation status as a function of the distance. Solid line: Global...
<p>The size and color of the square is relative to the global scores of the spatial autocorrelation ...
A number of spatial statistic measurements such as Moran's I and Geary's C can be used for spatial a...
<p>Correlation coefficients are calculated considering only the number of images in the specific str...
<p>Summary of residual normality (JB) and residual spatial autocorrelation (SA).</p
Descriptive statistics and results from bivariate regressions and spatial autocorrelation tests.</p
Distinguishing the analysis of spatial data from classical analysis is only meaningful if the spati...
Positive autocorrelation implies that proximate observations take on similar values. “Proximate ” ca...
<p>(A) Represents correlogram from year 2008, (B) 2010, and (C) a single day. Significant distance c...
Spatial autocorrelation may be defined as the relationship among values of a single variable that co...
This article introduces measures to quantify spatial autocorrelation for vectors. In contrast to sca...
Spatial autocorrelation is an assessment of the correlation between two random variables which descr...
Abstract. Spatial autocorrelation must handle two kinds of geographic data. One is continuous valued...
<div><p>Spatial autocorrelation plays an important role in geographical analysis; however, there is ...
<p>Positive and negative values of Moran’s I indicate positive and negative spatial autocorrelation,...
<p>Left: autocorrelation of the infestation status as a function of the distance. Solid line: Global...
<p>The size and color of the square is relative to the global scores of the spatial autocorrelation ...
A number of spatial statistic measurements such as Moran's I and Geary's C can be used for spatial a...
<p>Correlation coefficients are calculated considering only the number of images in the specific str...
<p>Summary of residual normality (JB) and residual spatial autocorrelation (SA).</p
Descriptive statistics and results from bivariate regressions and spatial autocorrelation tests.</p
Distinguishing the analysis of spatial data from classical analysis is only meaningful if the spati...
Positive autocorrelation implies that proximate observations take on similar values. “Proximate ” ca...
<p>(A) Represents correlogram from year 2008, (B) 2010, and (C) a single day. Significant distance c...