PhDGeographyUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/188670/2/7510294.pd
We address the problem of prediction in the classical spatial autoregressive lag model for areal dat...
Cliff and Ord (1969), published forty years ago, marked a turning point in the treatment of spatial ...
<p>Positive and negative values of Moran’s I indicate positive and negative spatial autocorrelation,...
Spatial autocorrelation may be defined as the relationship among values of a single variable that co...
Distinguishing the analysis of spatial data from classical analysis is only meaningful if the spati...
This repository will contain the research compendium of our work on comparing algorithms across diff...
Spatial autocorrelation is an assessment of the correlation between two random variables which descr...
To date a clear, simple, and concise definition of spatial autocorrelation has eluded the literature...
Functions to calculate measures of spatial association, especially measures of spatial autocorrelati...
Positive autocorrelation implies that proximate observations take on similar values. “Proximate” can...
A number of spatial statistic measurements such as Moran's I and Geary's C can be used for spatial a...
Spatial autocorrelation plays an important role in geographical analysis; however, there is still ro...
Spatial autocorrelation is a phenomenon where the values of a variable located within certain geogra...
<p>Solid line indicates the autocorrelation coefficient, r (-1–1), between individuals at each dista...
<p>(A) Represents correlogram from year 2008, (B) 2010, and (C) a single day. Significant distance c...
We address the problem of prediction in the classical spatial autoregressive lag model for areal dat...
Cliff and Ord (1969), published forty years ago, marked a turning point in the treatment of spatial ...
<p>Positive and negative values of Moran’s I indicate positive and negative spatial autocorrelation,...
Spatial autocorrelation may be defined as the relationship among values of a single variable that co...
Distinguishing the analysis of spatial data from classical analysis is only meaningful if the spati...
This repository will contain the research compendium of our work on comparing algorithms across diff...
Spatial autocorrelation is an assessment of the correlation between two random variables which descr...
To date a clear, simple, and concise definition of spatial autocorrelation has eluded the literature...
Functions to calculate measures of spatial association, especially measures of spatial autocorrelati...
Positive autocorrelation implies that proximate observations take on similar values. “Proximate” can...
A number of spatial statistic measurements such as Moran's I and Geary's C can be used for spatial a...
Spatial autocorrelation plays an important role in geographical analysis; however, there is still ro...
Spatial autocorrelation is a phenomenon where the values of a variable located within certain geogra...
<p>Solid line indicates the autocorrelation coefficient, r (-1–1), between individuals at each dista...
<p>(A) Represents correlogram from year 2008, (B) 2010, and (C) a single day. Significant distance c...
We address the problem of prediction in the classical spatial autoregressive lag model for areal dat...
Cliff and Ord (1969), published forty years ago, marked a turning point in the treatment of spatial ...
<p>Positive and negative values of Moran’s I indicate positive and negative spatial autocorrelation,...
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