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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...
The southern part of the Alps is interested by frequent avalanche phenomena. It is very important to provide a suitable method to manage avalanche risk. The usual approach is based on the mapping of t...
Ground spatial data acquisition is a key technology in digital city engineering, It is important to improve the efficiency of data acquisition. The main purpose of this paper is to develop vehicle-bor...
Following the development of spatial information acquisition technology, more and more spatial data have been collected through various approaches. There has been a full utilization of geospatial info...
Within the scope of processing large amounts of data and complex calculations the use of grid computing is a good choice for achieving high performance, because processing of extensive spatial data ca...
Based on cell complex theory, after analyzing the corresponding relationship among cell, cell complex and 3D spatial solid, a formal definition for 3D spatial solid is presented. Through analyzing the...
Registration of spatial data based on PCA is advanced in the paper. The principle is that principal components of spatial data set are changed with the coordinate system. For two spatial data sets of ...
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...
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, ...
Data quality and uncertainty modeling for spatial data and spatial analyses is regarded as one of the disciplines of geographic information science together with space and time in geography, as well a...
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...
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 ...
Public and private organizations have legacy or operational spatial databases or non-spatial databases, which are also somehow linked to a spatial database or a spatial meaning. In addition to missi...

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