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December, 2007


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Refereed Papers
 

Leahy, F.J. (2007) Locating the Plant Camp of the Burke and Wills Expedition, Journal of Spatial Science, Vol. 52, No. 2. Go

Skyy, T.-K., Stimson R., Chhetri, P. & Western, J. (2007) Mapping Quality of Life in the South East Queensland Region with a Web-Based Application, Journal of Spatial Science, Vol. 52, No. 2. Go

Taranto, T. (2007) Using Spatial Information to aid Decision-Making: Case Study of Developing a Participatory Geographic Information System for Regional Tourism Planning, Journal of Spatial Science, Vol. 52, No. 2. Go

 Zhang, C., Li. W. & Zhao, T. (2007) Geospatial Data Sharing Based on Geospatial Semantic Web Technologies, Journal of Spatial Science, Vol. 52, No. 2. Go

Kumar, L. (2007) A comparison of reflectance characteristics of some Australian eucalyptus species based on high spectral resolution data – discriminating using the visible and NIR regions, Journal of Spatial Science, Vol. 52, No. 2. Go

Bae, K. –H., Belton, D. & Lichti, D. D. (2007) Pre-processing procedures for raw point clouds from terrestrial laser scanners, Journal of Spatial Science, Vol. 52, No. 2. Go

Featherstone. W. E. (2007) Augmentation of AUSGeoid98 with GRACE satellite gravity data, Journal of Spatial Science, Vol. 52, No. 2. Go 

Professional Paper

Hu, Y.-H. & Ge, L. (2007) The Design and Development of a Geo-referencing and Browsing System for Geospatial Web Content, Journal of Spatial Science, Vol. 52, No. 2. Go

Abstracts

Refereed Paper

 

Locating the Plant Camp of the Burke and Wills Expedition

 

F. J. Leahy

Department of Geomatics

University of Melbourne

fjleahy@unimelb.edu.au

 

Abstract

William John Wills was appointed “Surveyor and Astronomer” to the Victorian Exploration Expedition (now popularly known as the Burke and Wills Expedition) which departed from Melbourne on Tuesday 21st August 1860 with a party consisting of 17 men, 26 camels, 28 horses and 6 wagons. By April 1861, the forward party of 4 men, were struggling back from the Gulf of Carpentaria on short rations and with failing camels. To lighten loads, Wills “planted” (for later recovery) some equipment, including his astronomical instruments. This paper reports on an analysis of Wills’ navigational records with the aim of locating the site Wills named “Plant Camp”. The investigation has run for some 20 years without detailed publication. The reason for publishing now arises from a recent discovery, at the site identified as Plant Camp, of a small number of items that give every appearance of being part of the equipment planted by Wills.

 

Mapping Quality of Life in the South East Queensland Region with a Web-Based Application

 

T.-K. Shyy

R. Stimson

UQ Social Research Centre

The University of Queensland

Brisbane, Queensland 4072

t.shyy@uq.edu.au

r.stimson@uq.edu.au

 

P. Chhetri

School of Management

RMIT University

GPO Box 2476V

Melbourne, Victoria 3001

p.chhetri@rmit.edu.au

 

J. Western

School of Social Science

The University of Queensland

Brisbane, Queensland 4072

j.western@uq.edu.au

 

Abstract

This paper describes the development of a prototype Web geographical information system for mapping aspects of quality of life derived from a survey of residents in the Brisbane-South East Queensland conducted in 2003.  Using cluster analysis, “downshifters” – people who voluntarily make a long-term change in their lifestyle following the decision to “downshift”, other than planned retirement, which reduces their income - are categorised. Principal component analysis was used to examine the performance of statistical local areas against three perceived components of neighbourhood attractiveness - aesthetic, amenity and social interaction – that underlie the residential location decision choice of survey respondents. Spatial distributions of downshifters and neighbourhood attractiveness can be visualised with a Web browser.

  

Using Spatial Information to aid Decision-Making: Case Study of Developing a Participatory Geographic Information System for Regional Tourism Planning

 

T. J. Taranto

CSIRO Division of Marine Research

233 Middle St.  Cleveland 4163

Queensland

Australia

tom.taranto@csiro.au

 

Abstract

Electronic interfaces enable spatial information acquired from many sources to be aggregated and visualised to meet end user requirements. Any associated group decision-making, however, often requires tedious discussion, debate, negotiation and compromise before participants reach a mutually agreed decision. This paper examines at the integration of spatial information to assist the decision-making process using a participatory geographical information system (PGIS) developed for regional tourism planning in Queensland, Australia. The PGIS facilitates group consultation and decision-making through a transparent process of visualising areas valued by participants, either individually or combined. It aggregates both quantitative and qualitative spatial information using multi-criteria evaluation and standardised geometric and algebraic mean information layers to aid discussions and decision-making. The paper demonstrates how the PGIS provides a versatile tool for individual analysis, heuristic exploration or to facilitate a cooperative consultation environment. In the consultative process, it is assumed that understanding other people’s values and identifying areas that concur or conflict are crucial for participant collaboration, to synergise and to reach a mutually beneficial outcome.

 

 

Geospatial Data Sharing Based on Geospatial Semantic Web Technologies

 

C. Zhang

W. Li

Department of Geography

Kent State University,

Kent, Ohio 44242, USA

czhang2@kent.edu

weidong6616@yahoo.com

 

T. Zhao

Department of Computer Science,

University of Wisconsin, Milwaukee, USA

tzhao@uwm.edu

 

Abstract

Geospatial data sharing is a concern in geospatial science because of the heterogeneity of existing geographical information systems. This study aims to examine the use of Geospatial Semantic Web technologies such as ontology, web services and the service-oriented architecture for enabling disparate heterogeneous legacy GIS to share and integrate information in a cost effective way to reduce spatial data duplication. A framework based on the Geospatial Semantic Web technologies is proposed in this study. Experimental results from an implemented prototype show that the proposed framework allows searching and accessing geospatial data and services at the semantic level based on their content instead of keywords in the metadata.

 

A comparison of reflectance characteristics of some Australian eucalyptus species based on high spectral resolution data – discriminating using the visible and NIR regions

 

L. Kumar

Ecosystem Management

University of New England

Armidale NSW 2351

Australia

lkumar@une.edu.au

 

Abstract

Laboratory measurements of the spectral reflectance of leaves from eleven common eastern Australian eucalypts were made over the 400-2400 nm range using an Infra-Red Intelligent Spectroradiometer (IRIS) spectroradiometer. Spectral differences among the different species were studied in terms of reflectance (550 nm, 630 nm, 800 nm, green peak maximum reflectance and chlorophyll well maximum absorption) and wavelength positions (red edge, green peak maximum reflectance, chlorophyll well maximum absorption and red edge inflection point). This paper discusses the differences between the species in the visible and red-edge regions only. Results indicate that, while spectra from different eucalyptus species appear similar in terms of shape and positions of absorption features, statistically significant differences do exist. These differences are in terms of absolute reflectance, depths of absorption features and the relative position of change in terms of the wavelength.

 

 

Pre-processing procedures for raw point clouds from terrestrial laser scanners

 

K.-H. Bae

D. Belton

D. D. Lichti

Western Australian Centre for Geodesy and The Institute for Geoscience Research,

Department of Spatial Sciences

Curtin University of Technology

GPO Box U1987, Perth, WA 6845

Australia,

Cooperative Research Centre for Spatial Information (CRC-SI), Australia

K.H.Bae@curtin.edu.au

D.Belton@curtin.edu.au

D.Lichti@curtin.edu.au

 

Abstract

The use of geometric primitives such as geometric curvature, variances of curvature and surface normal vectors as pre-processing methods for edge and boundary detection in three-dimensional (3D) unorganised point clouds is proposed. These processes are important for high-level procedures such as registration, segmentation, classification and detection of specific shapes or objects in point clouds. To demonstrate the effectiveness of these methods, we present examples of tree detection and segmentation of terrestrial laser scanner point clouds.

 

 

Augmentation of AUSGeoid98 with GRACE satellite gravity data

 

W. E. Featherstone

Western Australian Centre for Geodesy & The Institute for Geoscience Research,

Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia

W.Featherstone@curtin.edu.au

 

Abstract

The AUSGeoid98 gravimetric quasigeoid model of Australia is augmented in the medium- and long-wavelength bands by removing its EGM96 basis and replacing this with GGM02C and EIGEN-GL04C, whose long wavelengths are derived from Gravity Recovery And Climate Experiment (GRACE) satellite gravimetry.  No significant improvement over AUSGeoid98 is seen: agreements with GPS-levelling change from ±28 cm to ±27 cm (acknowledging distortions in the levelling); agreements with astrogeodetic vertical deflections do not change, remaining at about ±1 arc-second.  While this remove-replace approach is not theoretically exact, it is likely that errors in the terrestrial gravity data are contaminating these combined GRACE solutions in the medium wavelengths over Australia.

 

 

Professional Paper

 

 

The Design and Development of a Geo-referencing and Browsing System

for Geospatial Web Content

 

Y.-H. Hu

L. Ge

School of Surveying and Spatial Information Systems,

University of New South Wales

Sydney, Australia

you-heng.hu@student.unsw.edu.au

l.ge@unsw.edu.au

 

Abstract

With the advent of the World Wide Web (WWW), the way people publish, retrieve and synthesise information has totally changed. The Web is a hypertext system consisting of a huge amount of information which has very different forms. The concept of geospatial Web content emphasises the geospatial context of online information. Due to the continued explosive increase in the volume and complexity of geospatial Web content, it is necessary to have some mechanisms through which content can be systematically organised depending on their geospatial characteristics, and can be efficiently accessed and interrelated. This paper presents the design and development of Geo-coded Spatial Navigation System (G-SNS), a geo-referencing and browsing system that aims to provide an integrated user interface for navigation and browsing of geospatial Web content. Three case studies based on the G-SNS architecture in different application domains are developed and described: 1) Local News Reader categorises online news stories based on their geospatial context, 2) Web Sites Finder enables users to find Web sites that are close to users’ current locations, and 3) Property List Map provides users with a map-based interface for searching and reviewing of real estate properties.

 

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