Deux communications du Centre des Techniques Spatiales (ASAL) retenues
Deux experts du Centre des Techniques Spatiales (ASAL) ont été invités à participer à la vingt sixième conférence Internationale sur la Cartographie prévue du 25 au 30 août 2013 à Dresde, (Allemagne) Deux communications seront présentées lors de cette encontre, dont ci-joint les résumés.
Contribution to the establishment of an address referential
Khadidja Sekkour, Larbi Benmohamed (Centre des Techniques Spatiales )
Abstract
The localization of geographic information remains essential these days, despite the many tools and applications using geographic information system (GIS) technology to locate accurately any information related to an address. This is mainly due to the development of the geographic information use and to the urban growth in many developing cities.
In this paper, we develop a methodology allowing the implementation of an Address referential in order to present the importance of Geocoding in spatial analysis. To accomplish these objectives, we sampled different addresses for two residential areas in the city of Oran (North West of Algeria). The paper concludes with an evaluation of geocoding quality that depends on the positional error caused during Geocoding Addresses. Positional error was determined using the distance between each geocoded point and its true location as determined with Google earth imagery.
Keywords: Geocoding, Geographic information, Address referential
Quality Assessment of Geospatial Data
Bouhadjar MEGUENNI (Centre des Techniques Spatiales )
Abstract
According to application needs, the spatial data issued from digitizing operation, or imported from other formats shall undergo specific operations prior to any use, in order to preserve the spatial data consistency,the component of data quality considered as an indispensable part in an ISO metadata model. On this background, the contribution of our work falls in the field of spatial data quality improvement. It involves applying a multi-stage methodology for detecting and correction errors.
Keywords: data quality, spatial consistency, topological errors