June, 2001 (Vol. 30, No. 1)
Refereed Papers
Kirby, J. and Featherstone, W. (2001) Anomalously Large Gradients in Version 1 of the Geodata 9 Second Digital Elevation Model of Australia, and Their Effects on Gravimetric Terrain Corrections, Cartography, Vol. 30, No. 1.
Wilkie, J., Delaney, J.L. and Conacher, A.J. (2001) Weed Infestation Risk Modelling and Mapping:
A Case Study Involving Watsonia Bulbillifera in Kalamunda National Park, WA, Cartography, Vol. 30, No. 1.
Van Remortel, R.D., Hamilton, M.E. and Hickey, R.J. (2001) Estimating the LS Factor For RUSLE Through
Iterative Slope Length Processing of Digital Elevation Data Within ArcInfo GRID, Cartography, Vol. 30, No. 1.
Gangemi, A. R. and Young, F. R. (2001) Multimedia Mapping: A Special Purpose Pilot Project, Cartography, Vol. 30, No. 1.
Meneghello, M. (2001) XML (eXtensible Markup Language): The New Language of Data Exchange, Cartography, Vol. 30, No. 1.
Koehne, J. and Howard, J. (2001) PropertyAssist: A New Approach to the Delivery of Property Information to South Australia, Cartography, Vol. 30, No. 1.
Anomalously Large Gradients in Version 1 of the Geodata 9 Second Digital Elevation Model of Australia, and Their Effects on Gravimetric Terrain Corrections
Jon Kirby and Will Featherstone
Department of Spatial Sciences
Curtin University of Technology
GPO Box U 1987
Perth 6845, Western Australia
(e) jfk@vesta.curtin.edu.au
Abstract
Large gradients, when calculated by a first-difference method, have been detected in Version 1 of the 9 arc-second National Digital Elevation Model (DEMv1) of Australia released by the Australian Surveying and Land Information Group. Gradient values implied by the mean elevations in the DEMv1 between adjacent grid cells of up to 74° have been observed, most notably in Australia's more mountainous regions in the east. Comparisons with topographic maps indicate that these are anomalous gradients in the DEMv1 that are not present in the mapped topography. It is recommended that the first-difference method is used to test DEMs before they are used to compute terrain corrections.
Weed Infestation Risk Modelling and Mapping:
A Case Study Involving Watsonia Bulbillifera in Kalamunda National Park, WA
J. Wilkie, J.L. Delaney and A.J. Conacher
Department of Geography
University of Western Australia
Nedlands Perth 6907
(e) julied@geog.uwa.edu.au
Abstract
A methodology was developed for weed infestation risk modelling and mapping based on Watsonia bulbillifera in Kalamunda National Park, Western Australia. The methodology relied on the capture of 'best knowledge' regarding the characteristics of favoured weed locations and areas targeted by methods of dispersal. Two surfaces were compiled showing the spatial distribution of these favoured locations and targeted dispersal areas. These two surfaces were combined, using a weighted linear combination model, to produce a risk surface map for weed infestation. The high level of sensitivity of the methodology to the subjective expert 'best knowledge' weights was also investigated. This research stands as an initial step in further site-specific and generic weed infestation risk modelling.
Estimating the LS Factor For RUSLE Through
Iterative Slope Length Processing of Digital Elevation Data Within ArcInfo GRID
Rick D. Van Remortel and Matthew E. Hamilton
Remote Sensing & Support Services Department
Lockheed Martin Environmental Services
Las Vegas, NV, 89119, USA
(e) rvanremo@lmepo.com
Robert J. Hickey
Department of Geography and Land Studies
Central Washington University
Ellensburg, WA, 98926, USA
(e) rhickey@cwu.edu
Abstract
A limitation of using the USLE and RUSLE soil erosion models at regional landscape scales has been the difficulty in obtaining an LS-factor grid suitable for use in GIS applications. Previous work resulted in an ArcInfo GRID AML program that allows the creation of a USLE-based LS factor grid using a DEM elevation dataset. This paper describes the additions and modifications applied to the previous AML code to produce a RUSLE-based version of the LS factor grid. These alterations included replacing the USLE algorithms with their RUSLE counterparts and redefining some of the assumptions made regarding slope characteristics. In areas of the Western USA where it was tested, the RUSLE-based AML program has produced LS values that are roughly comparable to those listed in the RUSLE Handbook guidelines.
Multimedia Mapping: A Special Purpose Pilot Project
A. R. Gangemi and F. R. Young
Faculty of Engineering and Surveying
University of Southern Queensland
Toowoomba, Queensland 4350
(e) gangemia@usq.edu.au
(e) youngf@usq.edu.au
Abstract
This research successfully created a purpose designed stand-alone desktop multimedia map controlled by a custom built graphical user interface. The multifaceted, interactive and dynamic nature of the map demonstrated the 'new-age' capacity of digital cartography for enhanced communication and visualisation through an innovative but simple application. The Toowoomba Japanese Gardens, situated on the grounds of the University of Southern Queensland, proved an ideal physical study site in addition to the attributes associated with its education, tourism and cultural enhancement utility. Although a deliberately limited study, the successful outcomes provide a basis for a variety of specific and more sophisticated developments.
XML (eXtensible Markup Language): The New Language of Data Exchange
M. Meneghello
Marketing Manager
DBR Group Pty Ltd
8 Walters Drive, Osborne Park
Western Australia, 6017
(e) Mark.Meneghello@dbr.com.au
Abstract
XML or eXtensible Markup Language is an increasingly prevalent and universally accepted standard for the encoding of data. The rapid adoption of the XML standard together with the accessibility of the Internet is revolutionising data exchange within and between organisations. The application of the XML standard to geographic information (Geographic Markup Language or GML) is for the first time providing a public, open standard for sharing and interpreting spatial data.
This paper traces the origins of XML, and explains how and why XML is bringing about such fundamental change in the way we manage our data, with emphasis on its presence in the spatial information industry.
PropertyAssist: A New Approach to the Delivery of Property Information to South Australia
Joanne Koehne and John Howard
Environmental and Geographic Information
Department for Environment and Heritage
South Australia
(e) koehne.joanne@saugov.sa.gov.au
Abstract
Developed by Environmental and Geographic Information, a division of the Department for Environment and Heritage, PropertyAssist provides a new and innovative mechanism for the delivery of property information in South Australia. Taking advantage of current technology, PropertyAssist ensures the delivery of Government information remains relevant in today's modern business environment.
The design of PropertyAssist allows the user to enquire across a range of state held databases via the Internet, returning details of title, sales, plans and valuation. The spatial data display feature of the system allows the user to view locality maps and survey plan images online. The ease of access to property information provides benefits to the general public and business community, including real estate agents, conveyancers, valuers, surveyors and others, by placing information at the user's fingertips. Users can purchase information through a secure, on-line credit card payment facility developed in conjunction with Camtech, a leading South Australian company providing e-commerce solutions.
The initial PropertyAssist prototype, InfoShop, was awarded the 1998 Government Technology Productivity Gold Award.
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