In geographic studies, replicates (e.g., countries) may be non-independent due to their proximity, a problem termed spatial autocorrelation. This non-independence is problematic because it can inflate Type I error. Here, we describe our approach to addressing spatial autocorrelation in our analysis
In this article, we analyse the existence of spatial autocorrelation at a local level in Catalonia u...
Spatial data is common in ecological studies; however, one major problem with spatial data is the pr...
Griffith and Paelinck (2011) present selected non-standard spatial statistics and spatial econometri...
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...
Though still often neglected, spatial autocorrelation can be a serious issue in ecology because the ...
Spatial autocorrelation is an assessment of the correlation between two random variables which descr...
Positive autocorrelation implies that proximate observations take on similar values. “Proximate” can...
discussions on this project. Any remaining errors are my own. Many theories in political science pre...
Spatial autocorrelation describes the interdependent relationship between the realizations or observ...
sampling dynamic populations in space and time. / Ecography 27: 767/775. The estimation of spatial ...
In modelling spatial data, when measurements at one location are influenced by the measurements at n...
Governments and statistical agencies often make available area-level data on a number of topics (mor...
<p>Left: autocorrelation of the infestation status as a function of the distance. Solid line: Global...
Aim Spatial autocorrelation in ecological data can inflate Type I errors in statistical analyses. Th...
In this article, we analyse the existence of spatial autocorrelation at a local level in Catalonia u...
Spatial data is common in ecological studies; however, one major problem with spatial data is the pr...
Griffith and Paelinck (2011) present selected non-standard spatial statistics and spatial econometri...
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...
Though still often neglected, spatial autocorrelation can be a serious issue in ecology because the ...
Spatial autocorrelation is an assessment of the correlation between two random variables which descr...
Positive autocorrelation implies that proximate observations take on similar values. “Proximate” can...
discussions on this project. Any remaining errors are my own. Many theories in political science pre...
Spatial autocorrelation describes the interdependent relationship between the realizations or observ...
sampling dynamic populations in space and time. / Ecography 27: 767/775. The estimation of spatial ...
In modelling spatial data, when measurements at one location are influenced by the measurements at n...
Governments and statistical agencies often make available area-level data on a number of topics (mor...
<p>Left: autocorrelation of the infestation status as a function of the distance. Solid line: Global...
Aim Spatial autocorrelation in ecological data can inflate Type I errors in statistical analyses. Th...
In this article, we analyse the existence of spatial autocorrelation at a local level in Catalonia u...
Spatial data is common in ecological studies; however, one major problem with spatial data is the pr...
Griffith and Paelinck (2011) present selected non-standard spatial statistics and spatial econometri...