Consistent Layout for Thematic Software Maps

Software visualizations can provide a concise overview of a complex software system. Unfortunately, since software has no physical shape, there is no “natural“ mapping of software to a two-dimensional space. As a consequence most visualizations tend to use a layout in which position and distance have no meaning, and consequently layout typical diverges from one visualization to another. We propose a consistent layout for software maps in which the position of a software artifact reflects its \emph{vocabulary}, and distance corresponds to similarity of vocabulary. We use Latent Semantic Indexing (LSI) to map software artifacts to a vector space, and then use Multidimensional Scaling (MDS) to map this vector space down to two dimensions. The resulting consistent layout allows us to develop a variety of thematic software maps that express very different aspects of software while making it easy to compare them. The approach is especially suitable for comparing views of evolving software, since the vocabulary of software artifacts tends to be stable over time.

Thematic and Situational Features of Chinese BBS Texts

This study adopts the framework of Systemic Functional Grammar (SFG; Halliday, 1994/2000; Halliday & Matthiessen, 2004) to investigate thematic features in messages sent to an electronic bulletin board system (BBS) in mainland China. As a concept derived from the Prague School, theme in SFG has been identified as “the point of departure of the message; it is that which locates and orients the clause within its context” (Halliday & Matthiessen, 2004, p. 64). Thematic features in the Chinese data are found to relate to the situational features of the BBS, the analysis of which is based on the frameworks of Biber (1988) and Herring (2007). The relevant situational features are further generalized into the three components of context: field, tenor, and mode (Halliday & Hasan, 1985) in order to examine the relation between thematic features and situational features. The study’s findings show that thematic features are more closely related to the field (nature of the activity) than to the mode, contrary to Halliday’s (1978/2001) claim that theme, as a realization of the textual meaning, is determined by the mode (medium). In concluding, this discrepancy is explored.

Thematic thinking and individual performance in research and development

Individuals differ in their preference for processing information on the basis of taxonomic, feature-based similarity, or thematic, relation-based similarity. These differences, which have been investigated in a recently emerging research stream in cognitive psychology, affect innovative behavior and thus constitute an important antecedent of individual performance in research and development (R&D) that has been overlooked so far in the literature on innovation management. To fill this research gap, survey and test data from the employees of a multinational information technology services firm are used to examine the relationship between thematic thinking and R&D professionals' individual performance. A moderated mediation model is applied to investigate the proposed relationships of thematic thinking and individual-level performance indicators. Results show a positive relationship between thematic thinking and innovativeness, as well as individual job performance. While the results do not support the postulated moderation of the innovativeness–job performance relationship by employees' political skill, they show that the relationship between thematic thinking and job performance is fully mediated by R&D professionals' innovativeness. The present study is thus the first to reveal a positive relationship between thematic thinking and innovative performance.

Atlas of the Songwe River Basin: Thematic Maps with Explanatory Text Sheets

This atlas presents a comprehensive set of thematic maps depicting a wide range of aspects of the Songwe river area. It includes baseline maps (such as topographic overview, hillshade), satellite images (years 1991, 2001, 2004), land cover and land cover change, biomass and biomass change, priority conservation areas, resource management (watershed classification, watershed classification combined with biomass, soil erosion), accessibility and special maps (such as historical river course). Map clippings of the most important maps facilitate the readability of the maps. The accompanying explanatory text sheets contain graphics and information about material, methods, results and interpretation.

From Truth to Justice: How Does Amnesty Factor In? A Comparative Analysis of South Africa and Sierra Leone's Truth and Reconciliation Commissions

Truth and Reconciliation Commissions (TRC) have emerged in the last few decades as a mechanism for a state to overcome widespread, grave, human rights violations. There are numerous approaches to a TRC all with an ultimate goal: that formerly warring factions, perpetrators, witnesses, and victims can move forward as a united people. I propose that the provision of amnesty is critical to the success of a TRC. I hypothesize that the form of amnesty chosen (i.e. blanket v. conditional amnesty) determines the revelation of truth and realization of justice, which in turn dictates whether a TRC can achieve reconciliation. To test this hypothesis, I use two case studies: South Africa, which has utilized conditional amnesty, and Sierra Leone which has employed blanket amnesty. I create a model for measuring reconciliation. I can then look at the implications of both types of amnesty and assess which, in the end, is more effective. My overarching conclusion is that the provision of conditional amnesty is more effective than blanket amnesty in achieving reconciliation. Ultimately, I hope that this conclusion can be generalized to other TRCs.

Analysis of Thematic Classified Aerial Images Trough Multispectral and LIDAR Data

The application of thematic maps obtained through the classification of remote images needs the obtained products with an optimal accuracy. The registered images from the airplanes display a very satisfactory spatial resolution, but the classical methods of thematic classification not always give better results than when the registered data from satellite are used. In order to improve these results of classification, in this work, the LIDAR sensor data from first return (Light Detection And Ranging) registered simultaneously with the spectral sensor data from airborne are jointly used. The final results of the thematic classification of the scene object of study have been obtained, quantified and discussed with and without LIDAR data, after applying different methods: Maximum Likehood Classification, Support Vector Machine with four different functions kernel and Isodata clustering algorithm (ML, SVM-L, SVM-P, SVM-RBF, SVM-S, Isodata). The best results are obtained for SVM with Sigmoide kernel. These allow the correlation with others different physical parameters with great interest like Manning hydraulic coefficient, for their incorporation in a GIS and their application in hydraulic modeling.