7 resultados para Historic preservation--New Jersey--Maps.

em Deakin Research Online - Australia


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Chinese urban historic districts retain abundant urban traditional features, local characteristics and historic architecture. They not only gather and display urban cultural heritage but extend and develop urban historic culture and social traditions. In 1964 the “Venice Charter” expanded the concept and scope of historical and cultural heritage conservation from individual building heritage, historical sites comprising heritage buildings and historical environments to whole historic districts. At the same time, authenticity was adopted as a principle of heritage conservation. In 1994 the Nara Document on Authenticity confirmed that authenticity is of great importance to the conservation of cultural heritage. In 2003, “The Hoi An Declaration on Conservation of Historic Districts of Asia” reinforced the significance, integrity and authenticity of historic district conservation. In China, with the accelerated urbanization process and improved living conditions of urban residents, the unique values and historic and cultural heritage of historic districts is being destroyed. Considerable historic and cultural heritage has been reconstructed, leading to the loss of authenticity of these historic districts. This paper provides an overview of the Chinese situation. It highlights the problems and demonstrates a clear need to protect the authenticity of these historic districts. Authenticty is evaluated against various Chinese conservation of historic districts having regard to international experience and methods. As a result, it will be demonstrated that conservation modes of authenticity of urban historic districts in China and historic resources should be employed to ensure: 1) the restoration and conservation of historic architecture; 2) the preservation and renovation of old spaces and structures; 3) the integration and coordination of historic and new buildings; and the 4) the continuation and succession of historic culture and local tradition.

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This dissertation provides a critical reflection on the author's published work over 30 years to forge an understanding of the indivisibility of cultural and natural heritage values, both tangible and intangible, in the Australian landscape. There are prospects for establishing a distinctively Australian conservation management of cultural landscapes.

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The article explores the use of the queer archive in teaching sex and sexuality in public schools. A background of the development of the archive in 1978 and its role in education is given. Policies that help guide appropriateness of content, such as Supporting Sexual Diversity in Schools in 2008, is discussed. The teaching approach in using the non-traditional archive-based education are also examined where learning can involve group-based workshops heavy on interative methods.

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Deakin University and the University of Tasmania were commissioned by Parks Victoria (PV) to create two updated habitat maps for areas within the Corner Inlet and Nooramunga Marine and Coastal Park and Ramsar area. The team obtained a ground-truth data set using in situ video and still photographs. This dataset was used to develop and assess predictive models of benthic marine habitat distributions incorporating data from both ALOS (Advanced Land Observation Satellite) imagery atmospherically corrected by CSIRO and LiDAR (Light Detection and Ranging) bathymetry. This report describes the results of the mapping effort as well as the methodology used to produce these habitat maps.

Overall accuracies of habitat classifications were good, returning overall accuracies >73 % and kappa values > 0.62 for both study localities. Habitats predicted with highest accuracies included Zosteraceae in Nooramunga (91 %), reef in Corner Inlet (80 %), and bare sediment (no-visible macrobiota/no-visible seagrass classes; both > 76 %). The majority of classification errors were due to the misclassification of areas of sparse seagrass as bare sediment. For the Corner Inlet study locality the no-visible macrobiota (10,698 ha), Posidonia (4,608 ha) and Zosteraceae (4,229 ha) habitat classes covered the most area. In Nooramunga no-visible seagrass (5,538 ha), Zosteraceae (4,060 ha) and wet saltmarsh (1,562 ha) habitat classes were most dominant.

In addition to the commissioned work preliminary change detection analyses were undertaken as part of this project. These analyses indicated shifts in habitat extents in both study localities since the late 1990s/2000. In particular, a post-classification analysis highlighted that there were considerable increases in seagrass habitat (primarily Zosteraceae) throughout the littoral zones and river/creek mouths of both study localities. Further, the numerous channel systems remained stable and were free of seagrass at both times. A substantial net loss of Posidonia in the Corner Inlet locality is likely but requires further investigation due to potential misclassifications between habitats in both the 1998 map (Roob et al. 1998) and the current mapping. While the unsupervised Independent Components Analysis (ICA) change detection technique indicated some changes in habitat extent and distribution, considerable areas of habitat change observed in the post-classification approach are questionable, and may reflect misclassifications rather than real change. A particular example of this is an apparent large decrease in Zosteraceae and increase in Posidonia being related to the classification of Posidonia beds as Zosteraceae in the 1998 mapping. Despite this, we believe that changes indicated by both the ICA and post-classification approaches have a high likelihood of being ‘actual’ change. A pattern of gains and losses of Zosteraceae in the region north of Stockyard channel is an example of this. Further analyses and refinements of approaches in change detection analyses such as would improve confidence in the location and extent of habitat changes over this time period.

This work has been successful in providing new baseline maps using a repeatable method meaning that any future changes in intertidal and shallow water marine habitats may be assessed in a consistent way with quantitative error assessments. In wider use, these maps should also allow improved conservation planning, advance fisheries and catchment management, and progress infrastructure planning to limit impacts on the Inlet environment.

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Ecological planning, as advocated by Ian McHarg, filtered extensively through North America following the publication of Design with Nature (1965). The integrated design and planning approach was also advanced by numerous graduates of McHarg's studios at the University of Pennsylvania where this approach was extensively trialled and proven. While a clear synthesis and theoretical framework was articulated and reinforced through a plethora of projects, monographs, and articles, the majority of these perspectives were North American, lacked clarity about the translation of the approach into legal strategic and statutory planning instruments, nor shed light upon what transpired in Australia. This paper reviews the development of the Conservation Plan created for the southern Mornington peninsula in Victoria, Australia, as well as its intent, structure and internal workings as a successful model of ecological statutory planning, in the context of the wider WPRPA activities that draws directly from the McHarg theory. Known as the Conservation Plan for the southern Mornington Peninsula in Victoria, a revolutionary planning structure devised in the early 1970s by several Australian proponents. The Conservation Plan continues in operation today curating a high scenic valued landscape protecting it from intrusion from the growing metropolitan city of Melbourne thus fulfilling its objectives of landscape quality conservation whilst still permitting sympathetic building and land use growth. Contextually, the Conservation Plan appears to be only statutory equivalent translation of the approach internationally other than the Pinelands Commission planning processes in New Jersey.

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Uncertainty of the electricity prices makes the task of accurate forecasting quite difficult for the electricity market participants. Prediction intervals (PIs) are statistical tools which quantify the uncertainty related to forecasts by estimating the ranges of the future electricity prices. Traditional approaches based on neural networks (NNs) generate PIs at the cost of high computational burden and doubtful assumptions about data distributions. In this work, we propose a novel technique that is not plagued with the above limitations and it generates high-quality PIs in a short time. The proposed method directly generates the lower and upper bounds of the future electricity prices using support vector machines (SVM). Optimal model parameters are obtained by the minimization of a modified PI-based objective function using a particle swarm optimization (PSO) technique. The efficiency of the proposed method is illustrated using data from Ontario, Pennsylvania-New Jersey-Maryland (PJM) interconnection day-ahead and real-time markets.