Spatial autocorrelation plays an important role in geographical analysis; however, there is
still room for improvement of this method. The formula for Moran's index is complicated, and …

A number of spatial statistic measurements such as Moran's I and Geary's C can be used for
spatial autocorrelation analysis. Spatial autocorrelation modeling proceeded from the 1 …

In the last decades, anthropogenic activities (eg, intense agricultural activity, over-
exploitation of water and petroleum resources, surface and groundwater contamination) …

Recognition of the threats to biodiversity and its importance to society has led to calls for
globally coordinated sampling of trends in marine ecosystems. As a step to defining such …

Spatial correlation modeling comprises both spatial autocorrelation and spatial cross-
correlation processes. The spatial autocorrelation theory has been well-developed. It is …

This study examined echinoderm assemblages from nearshore rocky habitats for large-
scale distribution patterns with specific emphasis on identifying latitudinal trends and large …

Assemblages associated with intertidal rocky shores were examined for large scale
distribution patterns with specific emphasis on identifying latitudinal trends of species …

Gastropod assemblages from nearshore rocky habitats were studied over large spatial
scales to (1) describe broad-scale patterns in assemblage composition, including patterns …

The spatial patterns of taxonomic diversity of annelid polychaete species from the
continental shelf in the Southern Gulf of Mexico were examined in this study. We used …

Studies have shown that deforestation can cause changes in energy, moisture, and
precipitation flows, with implications for local and regional climate. These studies generally …