Examines the political significance of rugby in South Africa's post-apartheid present

When compared to classical sciences such as math, with roots in prehistory, and physics, with roots in antiquity, geographical information science (GISci) is the new kid on the block. Its theoretical foundations are therefore still developing and data quality and uncertainty modeling for spatial data and spatial analysis is an important branch of t

This new addition to the AFI Film Readers series brings together original scholarship on animation in contemporary moving image culture, from classic experimental and independent shorts to digital animation and installation. The collection - that is also a philosophy of animation - foregrounds new critical perspectives on animation, connects them to historical and contemporary philosophical and theoretical contexts and production practice, and expands the existing canon. Throughout, contributors offer an interdisciplinary roadmap of new directions in film and animation studies, discussing animation in relationship to aesthetics, ideology, philosophy, historiography, visualization, genealogies, spectatorship, representation, technologies, and material culture.

This book presents the research papers accepted for the 21st AGILE Conference on Geographic Information Science, held at Lund University Geographical Information Systems (GIS) Centre, Sweden on 12–15 June 2018. It discusses the role of geospatial technologies in the digitalization of society and is intended primarily for professionals and researchers in fields that can benefit from geoinformation – both within and outside the area of geographic information science.

At publication date, a free ebook version of this title will be available through Luminos, University of California Press's Open Access publishing program. Visit www.luminosoa.org to learn more. In this beautifully written and deeply researched study, Hannah Frank provides an original way to understand American animated cartoons from the Golden Age of animation (1920–1960). In the pre-digital age of the twentieth century, the making of cartoons was mechanized and standardized: thousands of drawings were inked and painted onto individual transparent celluloid sheets (called “cels”) and then photographed in succession, a labor-intensive process that was divided across scores of artists and technicians. In order to see the art, labor, and technology of cel animation, Frank slows cartoons down to look frame by frame, finding hitherto unseen aspects of the animated image. What emerges is both a methodology and a highly original account of an art formed on the assembly line.

This comprehensive and well-established cartography textbook covers the theory and the practical applications of map design and the appropriate use of map elements. It explains the basic methods for visualizing and analyzing spatial data and introduces the latest cutting-edge data visualization techniques. The fourth edition responds to the extensive developments in cartography and GIS in the last decade, including the continued evolution of the Internet and Web 2.0; the need to analyze and visualize large data sets (commonly referred to as Big Data); the changes in computer hardware (e.g., the evolution of hardware for virtual environments and augmented reality); and novel applications of technology. Key Features of the Fourth Edition: Includes more than 400 color illustrations and it is available in both print and eBook formats. A new chapter on Geovisual Analytics and individual chapters have now been dedicated to Map Elements, Typography, Proportional Symbol Mapping, Dot Mapping, Cartograms, and Flow Mapping. Extensive revisions have been made to the chapters on Principles of Color, Dasymetric Mapping, Visualizing Terrain, Map Animation, Visualizing Uncertainty, and Virtual Environments/Augmented Reality. All chapters include Learning Objectives and Study Questions. Provides more than 250 web links to online content, over 730 references to scholarly materials, and additional 540 references available for Further Reading. There is ample material for either a one or two-semester course in thematic cartography and geovisualization. This textbook provides undergraduate and graduate students in geoscience, geography, and environmental sciences with the most valuable up-to-date learning resource available in the cartographic field. It is a great resource for professionals and experts using GIS and Cartography and for organizations and policy makers involved in mapping projects.

The proliferation of massive data sets brings with it a series of special computational challenges. This "data avalanche" arises in a wide range of scientific and commercial applications. With advances in computer and information technologies, many of these challenges are beginning to be addressed by diverse inter-disciplinary groups, that indude computer scientists, mathematicians, statisticians and engineers, working in dose cooperation with application domain experts. High profile applications indude astrophysics, bio-technology, demographics, finance, geographi cal information systems, government, medicine, telecommunications, the environment and the internet. John R. Tucker of the Board on Mathe matical Seiences has stated: "My interest in this problern (Massive Data Sets) isthat I see it as the rnost irnportant cross-cutting problern for the rnathernatical sciences in practical problern solving for the next decade, because it is so pervasive. " The Handbook of Massive Data Sets is comprised of articles writ ten by experts on selected topics that deal with some major aspect of massive data sets. It contains chapters on information retrieval both in the internet and in the traditional sense, web crawlers, massive graphs, string processing, data compression, dustering methods, wavelets, op timization, external memory algorithms and data structures, the US national duster project, high performance computing, data warehouses, data cubes, semi-structured data, data squashing, data quality, billing in the large, fraud detection, and data processing in astrophysics, air pollution, biomolecular data, earth observation and the environment.