Metaphorical patterns in Anthropocene fiction

This article explores metaphorical language in the strand of contemporary fiction that Trexler discusses under the heading of ‘Anthropocene fiction’ – namely, novels that probe the convergence of human experience and geological or climatological processes in times of climate change. Why focus on metaphor? Because, as cognitive linguists working in the wake of Lakoff and Johnson have shown, metaphor plays a key role in closing the gap between everyday, embodied experience and more intangible or abstract realities – including, we suggest, the more-than-human temporal and spatial scales that come to the fore with the Anthropocene. In literary narrative, metaphorical language is typically organized in coherent clusters that amplify the effects of individual metaphors. Based on this assumption, we discuss the results of a systematic coding of metaphorical language in three Anthropocene novels by Margaret Atwood, Jeanette Winterson, and Ian McEwan. We show that the emergent metaphorical patterns enrich and complicate the novels’ staging of the Anthropocene, and that they can destabilize the strict separation between human experience and nonhuman realities

Probing the topological properties of complex networks modeling short written texts

In recent years, graph theory has been widely employed to probe several language properties. More specifically, the so-called word adjacency model has been proven useful for tackling several practical problems, especially those relying on textual stylistic analysis. The most common approach to treat texts as networks has simply considered either large pieces of texts or entire books. This approach has certainly worked well -- many informative discoveries have been made this way -- but it raises an uncomfortable question: could there be important topological patterns in small pieces of texts? To address this problem, the topological properties of subtexts sampled from entire books was probed. Statistical analyzes performed on a dataset comprising 50 novels revealed that most of the traditional topological measurements are stable for short subtexts. When the performance of the authorship recognition task was analyzed, it was found that a proper sampling yields a discriminability similar to the one found with full texts. Surprisingly, the support vector machine classification based on the characterization of short texts outperformed the one performed with entire books. These findings suggest that a local topological analysis of large documents might improve its global characterization. Most importantly, it was verified, as a proof of principle, that short texts can be analyzed with the methods and concepts of complex networks. As a consequence, the techniques described here can be extended in a straightforward fashion to analyze texts as time-varying complex networks

Training of Crisis Mappers and Map Production from Multi-sensor Data: Vernazza Case Study (Cinque Terre National Park, Italy)

This aim of paper is to presents the development of a multidisciplinary project carried out by the cooperation between Politecnico di Torino and ITHACA (Information Technology for Humanitarian Assistance, Cooperation and Action). The goal of the project was the training in geospatial data acquiring and processing for students attending Architecture and Engineering Courses, in order to start up a team of "volunteer mappers". Indeed, the project is aimed to document the environmental and built heritage subject to disaster; the purpose is to improve the capabilities of the actors involved in the activities connected in geospatial data collection, integration and sharing. The proposed area for testing the training activities is the Cinque Terre National Park, registered in the World Heritage List since 1997. The area was affected by flood on the 25th of October 2011. According to other international experiences, the group is expected to be active after emergencies in order to upgrade maps, using data acquired by typical geomatic methods and techniques such as terrestrial and aerial Lidar, close-range and aerial photogrammetry, topographic and GNSS instruments etc.; or by non conventional systems and instruments such us UAV, mobile mapping etc. The ultimate goal is to implement a WebGIS platform to share all the data collected with local authorities and the Civil Protectio

Trends and concerns in digital cartography

CISRG discussion paper ;