Geographic Information Sciences Commons^™

Modelling Avian Distributions Of The Navarrese Region In Northern Spain With A Geographic Information System, Samuel Soret-Garcia

Loma Linda University Electronic Theses, Dissertations & Projects

GIS (Geographic information Systems) technology was used for identifying relations between environmental characteristics and the breeding distributions of nine avian species of the Navarrese region in northern Spain. Data overlays of multiple GIS layers derived the explanatory variables for modelling the breeding distributions from logistic regressions. A spatial autocorrelation analysis was conducted to characterize the distribution patterns and to incorporate spatial factors (neighborhood effects) into their analysis.

All nine patterns analyzed exhibited a high level of spatial autocorrelation. Accordingly, the basic hypothesis of spatial randomness was rejected in favor of spatial clustering for the sample data. The breeding distributions strongly …

Voronoi Diagrams As A Visualization Technique For Spatial Autocorrelation In Point Data Sets, Martin A. Cassel

Theses and Dissertations (Comprehensive)

This thesis explores a new way of visualizing spatial autocorrelation in a GIS environment. It explores some relationships between spatial autocorrelation models, spatial interaction models and weighted Voronoi diagrams. Since the weighted Voronoi diagram is equivalent to a form of spatial interaction models, any GIS with the ability to generate a gravity model can be utilized to perform this new technique of exploratory spatial data analysis. This thesis demonstrates how the cross product form of‘ spatial autocorrelation models like the Geary and the Moran statistics is equivalent to the form of a multiplicatively weighted distance utilized in the definition of …

Theoretical And Empirical Examinations Of Spatial Scale And Aggregation Effects On The Principal Axis Factoring Technique When The Observations Are Areal Units, Len Michael Hunt

Theses and Dissertations (Comprehensive)

Previous assessments of factor analytic invariance to scale and aggregation effects have led to discrepant results. To determine the true effects, this study comprehensively examines the influence of scale and aggregation on factorial ecologies. This investigation is completed for three data sets, four scales, and thirty aggregations at each scale. Of these three data sets, two are artificial. These two data sets differ only by levels of spatial autocorrelations as one data set contains independent areal unit observations while the other set includes modest positive spatial autocorrelations. The third data set consists of variables from the 1986 Saskatoon enumeration areas. …