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The application of statistics to the mesoscale study of wind speed and direction in the Canberra regionJohnson, M. E., n/a January 1986 (has links)
The temporal and spatial variability in wind speed and
direction was investigated in a study of the mesoscale wind
fields in the Canberra region. The statistical description of
the winds was based on twelve months of three-hourly data at
seventeen sites obtained in a joint program carried out by the
Division of Land Use Research, CSIRO, the National Capital Development Commission, and the Bureau of Meteorology.
The statistical analysis proceeded in stages. The first
two stages were concerned with the determination and
examination of averages and measures of dipersion. Information
on the temporal variability in regional wind, defined as the
average of the winds at the seventeen collection sites,
provided the first insight into the important determinants of
winds in the region. The data were then categorized on the
basis of the information thus obtained, and the averages over
time for each site were analysed in each category. The
variation between sites revealed the extent of the spatial
variability in the region.
For each category, for each site, there were
perturbations around the average state, and in the last stage
of the study, the analysis examined how the perturbations were
related across sites using correlation coefficients.
Generalized Procrustes Analysis was used, followed by the
extensive use of cluster analysis.
Linear modelling techniques were used at all stages of
the study, not only for wind speed, but also for wind direction
which is an angular variate and thus required different
modelling procedures. The models related the variables of
interest to terrain features such as position, elevation and
surface roughness. These models allowed an informed judgement
to be made on the likelihood of accurately estimating the winds
at other locations in the region using interpolation
techniques.
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An Investigation of a Professional Development Scheme for teachers: work experience in industry and researchDyer, Barbara J, n/a January 1990 (has links)
n/a---Introduction--- This thesis deals with an investigation od a Professional Development Scheme which gave three Teaching Service teachers working experience in one of Australia's largest research organisations, a Canberra hotel, and an ACT office furniture business (one of the largest manufacturers of its kind within Australia) during the September school vacation of 1988.-----Aim----The aim of the thesis is to analyse and evaluate the effectiveness of the Professional Development Scheme in the context of the relationship between the school and the world of work.
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The Politics of Researching Carbon Trading in AustraliaSpash, Clive L. January 2014 (has links) (PDF)
This paper explores the conflicts of interest present in science policy and how claims being
made for evidence based science can be used to suppress critical social science research. The
specific case presented concerns the attempts to ban and censor my work criticising the
economics of carbon emissions trading while I was working for the Commonwealth
Scientific Industrial Research Organisation (CSIRO) in Australia. The role of management
and the Science Minister are documented through their own public statements. The case
raises general issues about the role of epistemic communities in the production of knowledge,
the potential for manipulation of information under the guise of quality control and the
problems created by claiming a fact-value dichotomy in the science-policy interface. The
implications go well beyond just climate change research and challenge how public policy is
being formulated in modern industrial societies where scientific knowledge and corporate
interests are closely intertwined. (author's abstract) / Series: SRE - Discussion Papers
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An investigation of the relationship between seabed type and benthic and bentho-pelagic biota using acoustic techniquesSiwabessy, Paulus Justiananda Wisatadjaja January 2001 (has links)
A growing recognition of the need for effective marine environmental management as a result of the increasing exploitation of marine biological resources has highlighted the need for high speed ecological seabed mapping. The practice of mapping making extensive use of satellite remote sensing and airborne platforms is well established for terrestrial management. Marine biological resource mapping however is not readily available except in part from that derived for surface waters from satellite based ocean colour mapping. Perhaps the most fundamental reason is that of sampling difficulty, which involves broad areas of seabed coverage, irregularities of seabed surface and depth. Conventional grab sample techniques are widely accepted as a standard seabed mapping methodology that has been in use long before the advent of acoustic techniques and continue to be employed. However. they are both slow and labour intensive, factors which severely limit the spatial coverage available from practical grab sampling programs. While acoustic techniques have been used for some time in pelagic biomass assessment, only recently have acoustic techniques been applied to marine biological resource mapping of benthic communities. Two commercial bottom classifiers available in the market that use normal incidence echosounders are the RoxAnn and QTC View systems. Users and practitioners should be cautious however when using black box implementations of the two commercial systems without a proper quality control over raw acoustic data since some researchers in their studies have indicated problems with these two bottom classifiers such as, among others, a depth dependence. In this thesis, an alternative approach was adopted to the use of echosounder returns for bottom classification. / The approach used in this study is similar to,~ used in the commercial RoxAnn system. In grouping bottom types however, Multivariate analysis (Principal Component Analysis and Cluster Analysis) was adopted instead of the allocation system normally used in the RoxAnn system, called RoxAnn squares. In addition, the adopted approach allowed for quality control over acoustic data before further analysis was undertaken. As a working hypothesis, it was assumed that on average 0 and aE2 = 0 where E1 and E2 are the roughness and hardness indices, respectively, and RO is the depth. For roughness index (E1), this was achieved by introducing a constant angular integration interval to the tail of the first OM returns whereas for hardness index (E2), this was achieved by introducing a constant depth integration interval. Since three different frequencies, i.e. 12, 38 and kHz, were operated, Principal Component Analysis was used here to reduce the dimensionality of roughness and hardness indices, formed from the three operated qu frequencies separately. The k-means technique was applied to the first principal component of roughness index and the first principal comp component of hardness index to produce separable seabed types. This produced four separable seabed types, namely soft-smooth, soft-rough, hard-smooth and hard-rough seabeds. / Principal Component Analysis was also used to reduce the dimensionality of the area backscattering coefficient sA, a relative measure of biomass of benthic mobile biota. The bottom classification results reported here appear to be robust in that, where independent ground truthing was available, acoustic classification was generally congruent with ground truth results. When investigating the relationship between derived bottom type and acoustically assessed total biomass of benthic mobile biota, no trend linking the two parameters, however, appears. Nevertheless, using the hierarchical agglomerative technique applied to a set of variables containing average first principal component of the area backscattering coefficient sA, the average first principal component of roughness and hardness indices, the centroids of first principal component of roughness and hardness indices associated with the four seabed types and species composition of fish group of the common species in trawl stations available, two main groups of quasi acoustic population are observed in the North West Shelf (NWS) study area and three groups are observed in the South East Fisheries (SEF) study area. The two main groups of quasi acoustic population in the NWS study area and the three main groups of quasi acoustic population in the study area are associated with the derived seabed types and fish groups of the common species.
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