Applied Gis 

Abstract: The geographical visualization of urban and regional landscapes is a powerful technique for engaging actors involved in decision-making processes. Tools developed can empower professional and citizen alike to make better-informed decisions. The paper reports on collaborative research being undertaken to develop and apply a range of 3D geographical visualization products to enhance both planning and scientific communication processes. In this paper we discuss some developments and applications of 3D geographical visualization tools and work being undertaken to evaluate the effectiveness of such tools for solving spatial planning problems. The paper concludes by discussing the lessons learnt in undertaking a cross-disciplinary approach to developing and applying landscape visualization tools and offers some future research directions with respect to technical specifications and the usefulness of geographical visualization as a participatory planning support tool.

Abstract: Landscape Visual Quality (LVQ) assessment has become a core component of landscape architecture, landscape planning and spatial planning. Different approaches for assessing the scenic qualities of landscapes have been developed in the last few decades. Two contrasting paradigms, expert/design approach and community perception-based approach, have dominated methodology development. In the expert-design approach the landscape visual quality is defined by biological and physical (or biophysical) values, while the perception-based approach emphasises the human view (subjective) of the landscape. This paper outlines a methodology combining expert and perception approaches to assess the LVQ.The application of information technology to landscape analysis dates back to the early work in computer-based mapping. Much of the early work on what became Geographic Information Systems (GIS) and three-dimensional landscape modelling was carried out by landscape architects and landscape planners. In the past years, significant advances in computers and GIS have enabled analysis of vast amounts of spatial information, which is the foundation of the methodology described in this paper. The methodology is explained in detail through its application to assess the LVQ of the Mornington Peninsula Shire, Melbourne, in the State of Victoria, AUSTRALIA.There are six stages in the procedure: viewpoints selection; calculation of factor indices based on Visual Exposure Modelling; landscape preference rating; use of statistical methods (such as multiple regression model) to determine the key predictors of LVQ; application of the formula thus generated to assess the LVQ of viewpoints; and use of spatial interpolation to map LVQ across the study area.The results are discussed in the last section of this paper with reference to key methodological issues. Results show that the perceived LVQ increases with the area of water visible, the degree of wilderness and percentage of natural vegetation, and the presence of hills. On the other hand, it decreases with the presence of perceived negative human-made elements such as roads and buildings.

Abstract: The Spatial Interpolation Comparison (SIC) 2004 exercise was organised during the summer 2004 to assess the current know-how in the field of automatic mapping. The underlying idea was to explore the way algorithms designed for spatial interpolation can automatically generate maps on the basis of information collected regularly by monitoring networks. Participants to this exercise were invited to use some prior information to design their algorithms and to test them by applying the software code to two given datasets. Estimation errors were used to assess the relative performances of the algorithms proposed. Participants were not only invited to minimize estimation errors but also to design the algorithms so as to render them suitable for decision-support systems used in emergency situations. The data used in this exercise were daily mean values of gamma dose rates measured in Germany. This paper presents the exercise and the data used more in detail.

Abstract: Climate change calls for strategic planning that builds resilience in vulnerable areas to manage the associated risks. This paper discusses how adaptive various communities and industries are to climate change in the North West of Victoria (also known as the Victorian wheatbelt), Australia. Indicators of adaptive ability for communities and industries, and the importance of key drivers like government policies, expert advice and empirical evidence of developing this capacity are identified. It also incorporates input from key regional groups as well as current knowledge on adaptability of regional communities to climate change across three major themes: socio-cultural, economic, institutional/infrastructure. Each of these major themes has associated indicators, which in turn have an individual suite of measures, albeit all contributing to the overall adaptive capacity and spatial variability of these capacities. A Geographic Information System is used to collect and analyse the data and spatially represent the indicators and indices. Workshop participants used their expert-judgment to assess and weight indicators, measures and themes. The stakeholders participatory assessment, the quantification of diversified data and interests and the importance of multiple policy outcomes make the findings locally relevant. We find that capacity and preparedness to adapt to climate change varies substantially across communities and different parts of the grains industry.