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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 ...
Technical design is a crucial part of project implementation and main basis for organizing production. With the development of surveying and mapping technology and its system, spatial data show more n...
Digital Elevation Models (DEMs) provide elementary information for various application fields. From a global point of view, there are many different sources to furnish height information of the Earth'...
In this article 1:50000 DLG data is used as an example to analyze and test spatial data positional accuracy.At first 1:50000 DLG data acquisition technical process and data content is simply introdu...
In recent years, China made great progress in the field of Spatial Data Infrastructure. But spatial data sharing and interoperability was not taken into inadequate consideration. In this paper, thre...
Spatial data mining (SDM) and change detection (CD) are hot issues in the field of geospatial information processing. Considering the feasibility of discovering knowledge from spatial database and t...
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...
INSPIRE is a given so attention turns to implementation. Of particular interest is the creation of Spatial Data Infrastructures (SDIs).In Great Britain (GB) we have been attempting to create a SDI for...
The maintenance of satellite and spatial data quality is an important task and escalating interest amongst geospatial community. The visualization of perfect earth surface features by relative respons...
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, ...
The process of spatial data quality evaluation is a set of interrelated activities aiming to produce a data quality result, and moreover,to fulfil the quality requirements set forth by the customers. ...
Data indexing and compression procedures have enabled several significant advances in the application of spatial data. Data coverage, portability, transfer, multi-scale representation (pyramids), quer...
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...
This paper describes a WebGIS prototype developed for the Walloon administration to improve the communication and the management of sediments dredging actions carried out in rivers and lakes. In Wallo...
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...

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