988 resultados para Apollo Bay Region (Vic.) -- Maps


Relevância:

100.00% 100.00%

Publicador:

Resumo:

"*GPO: 1997--417-648/60078."

Relevância:

100.00% 100.00%

Publicador:

Resumo:

"*GPO: 1998--432-903/60303."

Relevância:

100.00% 100.00%

Publicador:

Resumo:

"*GPO: 1999--454-767/00085."

Relevância:

100.00% 100.00%

Publicador:

Resumo:

"*GPO:2000--460-976/00304."

Relevância:

100.00% 100.00%

Publicador:

Resumo:

"*GPO:2001--472-470/40090."

Relevância:

100.00% 100.00%

Publicador:

Resumo:

"*GPO:2002--491-282/40310."

Relevância:

100.00% 100.00%

Publicador:

Resumo:

"*GPO:2003--496-196/40525."

Relevância:

100.00% 100.00%

Publicador:

Resumo:

"*GPO: 2005--310-394/00321."

Relevância:

100.00% 100.00%

Publicador:

Resumo:

"*GPO:2008--339-126/80006 Reprint 2008."

Relevância:

100.00% 100.00%

Publicador:

Resumo:

"*GPO:2010--357-940/80371 Reprint 2010."

Relevância:

100.00% 100.00%

Publicador:

Resumo:

Global projections for climate change impacts produce a startling picture of the future for low-lying coastal communities. The United States’ Chesapeake Bay region and especially marginalized and rural communities will be severely impacted by sea level rise and other changes over the next one hundred years. The concept of resilience has been theorized as a measure of social-ecological system health and as a unifying framework under which people can work together towards climate change adaptation. But it has also been critiqued for the way in which it does not adequately take into account local perspective and experiences, bringing into question the value of this concept as a tool for local communities. We must be sure that the concerns, weaknesses, and strengths of particular local communities are part of the climate change adaptation, decision-making, and planning process in which communities participate. An example of this type of planning process is the Deal Island Marsh and Community Project (DIMCP), a grant funded initiative to build resilience within marsh ecosystems and communities of the Deal Island Peninsula area of Maryland (USA) to environmental and social impacts from climate change. I argue it is important to have well-developed understandings of vulnerabilities and resiliencies identified by local residents and others to accomplish this type of work. This dissertation explores vulnerability and resilience to climate change using an engaged and ethnographic anthropological perspective. Utilizing participant observation, semi-structured and structured interviews, text analysis, and cultural domain analysis I produce an in-depth perspective of what vulnerability and resilience means to the DIMCP stakeholder network. Findings highlight significant vulnerabilities and resiliencies inherent in the local area and how these interface with additional vulnerabilities and resiliencies seen from a nonlocal perspective. I conclude that vulnerability and resilience are highly dynamic and context-specific for the local community. Vulnerabilities relate to climate change and other social and environmental changes. Resilience is a long-standing way of life, not a new concept related specifically to climate change. This ethnographic insight into vulnerability and resilience provides a basis for stronger engagement in collaboration and planning for the future.

Relevância:

100.00% 100.00%

Publicador:

Resumo:

Pen-and-ink and watercolor.

Relevância:

100.00% 100.00%

Publicador:

Resumo:

Title provided by cataloger.

Relevância:

50.00% 50.00%

Publicador:

Resumo:

Detection of Region of Interest (ROI) in a video leads to more efficient utilization of bandwidth. This is because any ROIs in a given frame can be encoded in higher quality than the rest of that frame, with little or no degradation of quality from the perception of the viewers. Consequently, it is not necessary to uniformly encode the whole video in high quality. One approach to determine ROIs is to use saliency detectors to locate salient regions. This paper proposes a methodology for obtaining ground truth saliency maps to measure the effectiveness of ROI detection by considering the role of user experience during the labelling process of such maps. User perceptions can be captured and incorporated into the definition of salience in a particular video, taking advantage of human visual recall within a given context. Experiments with two state-of-the-art saliency detectors validate the effectiveness of this approach to validating visual saliency in video. This paper will provide the relevant datasets associated with the experiments.