Developing a common spatial data infrastructure between State and Local Government--an Australian case study

Jacoby, Steve; Smith, Jessica M.; Ting, Lisa; Williamson, Ian

doi:10.1080/13658810110096001

Cited by 41 publications

(27 citation statements)

References 1 publication

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“…The challenge that faces many countries is the establishment of national datasets from these numerous local datasets. There is often little or no cooperation between local and national government, and the trend to manage and maintain the national address database by adding local data to a single centralized database and periodically publishing the national database is seen in the examples of national databases described by Jacoby et al (2002) and McDougall et al (2005) for Australia, by Morad (2002) for the UK, and by Fahey and Finch (2006) for Ireland.…”

Section: Spainmentioning

confidence: 99%

“…Spatial Data Infrastructure (SDI) refers to the technologies, standards, arrangements and policies that are required to collate spatial data from various local databases, and to make these collated databases accessible and usable to as wide an audience as possible (Jacoby et al 2002). National spatial data infrastructures emerged in the early 1980s in countries such as the USA and Australia.…”

Section: Spatial Data Infrastructure (Sdi)mentioning

confidence: 99%

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Address databases for national SDI: Comparing the novel data grid approach to data harvesting and federated databases

Coetzee

Bishop

2009

International Journal of Geographical Information Science

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The original purpose of addresses was to enable the correct and unambiguous delivery of postal mail. The advent of computers and more specifically geographic information systems (GIS) opened up a whole new range of possibilities for the use of addresses, such as routing and vehicle navigation, spatial demographic analysis, geo-marketing, and service placement and delivery. Such functionality requires a database which can store and access spatial data effectively. In this paper we present address databases and justify the need for national address databases. We describe models used for national address databases, and present our evaluation framework for an address database at a national level within the context of a spatial data infrastructure (SDI). The models of data harvesting, federated databases and data grids are analyzed and evaluated according to our novel framework, and we show that the data grid model has some unique features that make it attractive for a national address database in an environment where centralized control and/or coordination is difficult or undesirable.

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Section: Spainmentioning

confidence: 99%

Section: Spatial Data Infrastructure (Sdi)mentioning

confidence: 99%

Address databases for national SDI: Comparing the novel data grid approach to data harvesting and federated databases

Coetzee

Bishop

2009

International Journal of Geographical Information Science

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“…LBS are often cited as one service likely to continue driving the development of the "Mobile Internet". Irrespective of the range of services encapsulated by the broad "LBS" term some authors [11] comment that "all LBS will continue to require spatial data management capabilities to link position information with other data sources". Other authors [?…”

Section: A Location-based Servicesmentioning

confidence: 99%

Citizen Generated Spatial Data and Information: Risks and Opportunities

Mooney

Corcoran

Sun

et al. 2012

2012 International Conference on Industrial Control and Electronics Engineering

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Abstract-The last few years has seen the use of mobile technology become ubiquituos. Many millions of citizens around the world own smartphones, which they use for both personal and business applications. The majority of smartphones are designed towards Location-based Services (LBS). Consequently these smartphones have on-board GPS devices with the ability of locating the user to an accuracy of a few meters. While at the begining of the growth in popularity of smartphones and LBS technologies most users simply consumed services: where is the nearest coffee shop or subway station? Today, citizens are generating spatial data and information at ever increasing volumes. Examples include: georeferenced photographic collections, location-based social networking such as FourSquare, and volunteered geographic information (VGI). VGI is an exciting movement whereby citizens collect spatial data and information about (their own or another) locality. This content is then shared in collaborative projects such as OpenStreetMap, Geonames, Google Maps Mashups, or WikiMapia. This paper explores the risks involved in using this user-generated spatial data and information with specific emphasis on OpenStreetMap. Most citizens are not specialists in geographic surveying or cartography. Our paper provides results of a large case-study of high edit geographical features. We show that user generated spatial data is a very dynamic but has many inconsistencies. This severely limits its use in many security and intelligence applications, for example.

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“…The benefits of sharing maps and spatial data among public agencies are well established (Jacoby et al, 2002). Data and map sharing brings about significant reductions in maintenance activity, increases adoption of GIS technologies, and improves information access and accuracy.…”

Section: Introductionmentioning

confidence: 99%

Oregon Freight Data Mart

Figliozzi¹,

Bertini²

2010

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Type of Report and Period Covered Sponsoring Agency Code Supplementary Notes AbstractIncreasing freight volumes are adding pressure to the Oregon transportation system. Monitoring the performance of the transportation system and freight movements is essential to guarantee the economic development of the region, the efficient allocation of resources, and the quality of life of all Oregonians. Freight data is expensive to collect and maintain. Confidentiality issues, the size of the datasets, and the complexity of freight movements are barriers that preclude the easy access and analysis of freight data. Data accessibility and integration is essential to ensure successful freight planning and consistency across regional partner agencies and planning organizations. In relation to Internet-based mapping technology in freight data collection and planning, the main objectives of this project are: (a) address implementation issues associated with data integration, (b) present a system architecture to leverage existing publically-available interfaces and web applications to accelerate product development and reduce costs, (c) describe an existing web-based mapping prototype and its capabilities, (d) state lessons learned and present suggestions to streamline the integration and visualization of freight data, and (e) discuss load-time and display quality issues associated with the visualization of transportation data on internet-based mapping applications. The strategies and methodologies described in this report are equally applicable to the display of areas such as states or counties as well as linear data such linear data such as highways, waterways, and railways. Despite data integration challenges, Internet-based mapping provides a cost effective and appealing tool to store, access, and communicate freight data as well as enhance our understanding of freight issues. Institutional barriers, not technology, are the most demanding hurdles to widely implementing a freight data web-based mapping application in the near future.17.

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Developing a common spatial data infrastructure between State and Local Government--an Australian case study

Cited by 41 publications

References 1 publication

Address databases for national SDI: Comparing the novel data grid approach to data harvesting and federated databases

Address databases for national SDI: Comparing the novel data grid approach to data harvesting and federated databases

Citizen Generated Spatial Data and Information: Risks and Opportunities

Oregon Freight Data Mart

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