A practical taxonomy of methods and literature for managing uncertain spatial data in geographic information systems

Perfect information is seldom available to man or machines due to uncertainties inherent in real world problems. Uncertainties in geographic information systems (GIS) stem from either vague/ambiguous or imprecise/inaccurate/incomplete information and it is necessary for GIS to develop tools and techniques to manage these uncertainties. There is a widespread agreement in the GIS community that although GIS has the potential to support a wide range of spatial data analysis problems, this potential is often hindered by the lack of consistency and uniformity. Uncertainties come in many shapes and forms, and processing uncertain spatial data requires a practical taxonomy to aid decision makers in choosing the most suitable data modeling and analysis method. In this paper, we: (1) review important developments in handling uncertainties when working with spatial data and GIS applications; (2) propose a taxonomy of models for dealing with uncertainties in GIS; and (3) identify current challenges and future research directions in spatial data analysis and GIS for managing uncertainties.

Shared Photography: (Photo)journalism and political mobilisation in Rio de Janeiro's favelas

One of the most important civic phenomena emerging from favelas in Rio de Janeiro today is “community (photo)journalism”, which is practised by favela residents who are trained in journalistic and artistic techniques to raise critical awareness and promote political mobilisation in- and outside favelas. This paper looks at some of the work produced at one training place for community photographers, the agency-school Imagens do Povo (“Images of the People”) in Nova Holanda, a favela located in Rio’s North Zone. Using an ethnographic approach, this article first provides an account of the working practices of the School and its photographers. This is followed by a discussion of a small sample of their photographic work, for which we employ a social semiotic paradigm of image analysis. This methodological synergy provides insights into how these journalists document long-term structural as well as “spectacular” violence in favelas, while at the same time striving to capture some of the “beauty” of these communities. The paper concludes that this form of photographic work constitutes an important step towards a more analytical brand of journalism with different news values that encourage a more context-sensitive approach to covering urban violence and favela life.

KEYWORDS: alternative media, Imagens do Povo, multimodality, news values, photojournalism.