Posttraumatic Growth: A Mediated-Moderation Model

The primary goal was to test a mediated-moderation model in which dispositional optimism was the moderator and its role was mediated by problem-focused coping. A secondary goal was to demonstrate that posttraumatic growth could be differentiated from maturation and normal development. Two groups of participants were recruited and completed questionnaires twice with a 60-day interval: One group (Trauma), described a traumatic experience and the second group (Non-trauma), described a significant experience. Contrary to the hypothesis, only problem-focused coping and deliberate rumination predicted posttraumatic growth, and these findings were only observed in concurrent analyses. Furthermore, the results indicated that there was no significant difference between groups on growth scores at either Time 1 or Time 2. The findings suggest that the term “posttraumatic growth” may refer to the context in which growth occurs rather than to some developmental process that uniquely follows trauma.

QUANTIFICATION AND EXTRACTION OF SURFACE FEATURES FROM DIGITAL TERRAIN MODELS

Digital Terrain Models (DTMs) are important in geology and geomorphology, since elevation data contains a lot of information pertaining to geomorphological processes that influence the topography. The first derivative of topography is attitude; the second is curvature. GIS tools were developed for derivation of strike, dip, curvature and curvature orientation from Digital Elevation Models (DEMs). A method for displaying both strike and dip simultaneously as colour-coded visualization (AVA) was implemented. A plug-in for calculating strike and dip via Least Squares Regression was created first using VB.NET. Further research produced a more computationally efficient solution, convolution filtering, which was implemented as Python scripts. These scripts were also used for calculation of curvature and curvature orientation. The application of these tools was demonstrated by performing morphometric studies on datasets from Earth and Mars. The tools show promise, however more work is needed to explore their full potential and possible uses.