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In this paper we present a quality evaluation of two-dimensional building acquisition. We propose methods for identification and quantifi-cation of differences between independently acquired regions, ...
This paper presents the first results of a study which investigates river basin water quality management based on the ability of GIS to integrate different data sources into a common geographical data...
Nowadays, various organizations collect new spatial data or update existing ones. If a specific information community collects spatial data with regards to its own requirements, purposes and applicati...
In this paper, the one-dimension river quality system dynamics model was applied to the water quality simulation, and the conceptual GIS-SD frame was constructed. Based on the component GIS and system...
The impact of spatial data quality on decision-making depends on the role of the geographic information system (GIS) in the company. The requirements for data quality are different depending on whethe...
The heart of any spatial systems is its strong reliable database. The spatial database is a complex in nature which requires special technical skills to maintain it. The discrepancies in database can ...
For almost 20 years now, spatial data providers have been creating and publishing metadata records for their products. One intention of the metadata, which includes detailed data quality information, ...
Over the past thirty years, in excess of 36 billion dollars has been invested in the collection of spatial information across the public sector in Europe (PIRA, 2000). There is a clear imperative now ...
Hagerstrand's minimalist representation of individual lives and opportunities as lifelines and prisms predates the technologies available to current GIScience but resonates with many emerging spatio-t...
Because of the use of computers and its advances in scientific data handling and advancement of various geo and space borne sensors, we are now faced with a large amount of data. Therefore, the develo...
Current representations of spatial data quality (SDQ) do not adequately represent the spatial variation of SDQ. For example, a user who wants to know the positional accuracy of a feature usually has t...
Although by many perceived as important, spatial data quality has hardly ever been taken centre stage unless something went wrong due to bad quality. However, we think this is going to change soon. We...
Volunteered geographic information is constantly being added, edited or removed by users. Most of VGI users are not experts, thus formal representation of spatial data quality parameters through metad...
The quality of spatial data has a massive impact on its usability. It is therefore critical to both the producer of the data and its users. In this paper we discuss the close links between data qualit...
Many institutions will be providing data to the National Spatial Data Infrastructure (NSDI). Current technical background of the NSDI is based on syntactic web services. It is expected that this will ...

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