shop-functionaliteit. De performance en flexibiliteit van de nieuwe LKI-database is hiervoor optimaal. Querytools zul len worden ingezet voor een snelle en flexibele definitie van nieuwe ad-hoc producten om aan de eisen van onze klanten tegemoet te komen. [1] Khaled, K. Al-Taha, Richard T. Snodgrass, and Michael D. Soo, Bibliography on spatiotemporal databases. International Journal of Geographical Information Systems, 8(1), p. 95-103, 1994. [2] Baumgart, Bruce G., A polyhedron representation for computer vision. In National Computer Conference, p. 589-596, 1975. [3] Douglas Comer, The ubiquitous B-Tree. ACM Computing Surveys, 11(2), p. 121-137, June 1979. [4] Frank, Andrew U., Qualitative temporal reasoning in GIS - ordered time scales. In Proceedings of the 6th International Symposium on Spatial Data Handling, Edinburgh, Scotland, p. 410-430, September 1994. [5] Frank, Andrew U., Storage methods for space related data: The Field-tree. Technical Report Bericht no. 71, Eidgenossische Technische Hochschule Ziirich, June 1983. [6] Frank, Andrew U. and Renato Barrera, The Field- tree: A data structure for Geographic Information System. In Symposium on the Design and Implementation of Large Spatial Databases, Santa Barbara, California, p. 29-44, Berlin, July 1989. Springer-Verlag. [7] Gunst, Marlies de, and Peter van Oosterom, Network Computers at the Dutch Cadastre. 46th Photogrammetric Week, Stuttgart, September 1997. [8] Kleiner, Andreas, and Kurt E. Brassel, Hierarchical grid structures for static geographic databases. In Auto- Carto London, p. 485-496, London, 1986. [9] Absil-van de Kieft, J. and B. Kok, The development of geo data meta service for the Netherlands. In Third Joint European Conference Exibition of Geographical Information (JEC-GF97), Vienna, April 1997. [10] Orenstein, Jack A. and Frank A. Manola, PROBE spatial data modeling and query processing in an image database application. IEEE Transactions on Software Engineering, 14(5), p. 611-629, May 1988. [11] Osch, Berry van, Cadastral LIS in the Netherlands. Proceedings of the OEEPE-workshop on data quality in land information systems. OEEPE official publication no. 28, p. 71-90, IFAG Frankfurt 1991. [12] Osch, Berry van, LKI: Surveying and Mapping at the Dutch Cadastre. Version 1998. Kadaster Apeldoorn. [13] Oosterom, Peter van, Consistent bijhouden van topologie in een omvangrijke ruimtelijk-temporele database, Geodesia 1997 no. 6, p. 263-270. [14] Oosterom, Peter van, en Tom Vijlbrief, Spatial Location Code. Geodesia 1996 no. 6, p. 243- 252. [15] Peuquet, D. J. and E. Wentz, An approach for time-based analysis of spatio-temporal data. In Proceedings of the 6th International Symposium on Spatial Data Handling, Edinburgh, Scotland, p. 489- 504, September 1994. 16] Samet, Hanan, The Design and Analysis of Spatial Data Structures. Addison-Wesley, Reading, Mass., 1989. [17] Salzmann, Martin, Auke Hoekstra and Ted Schut, Cadastral Map Renovation. Paper to be presented at the FIG XXI international congres, Brighton UK, 19-25 July 1998. [18] Vijlbrief, T. and P. van Oosterom. GEO systeem: een uitbreidbaar GIS met consistentieregels. NGT Geodesia 1993 no. 6, p. 274-281. [19] Worboys, M. F., Unifying the spatial and temporal components of geographical information. In Proceedings of the 6th International Symposium on Spatial Data Handling, Edinburgh, Scotland, p. SOS- SI 7, September 1994. Spatial Information Management in the Netherlands Cadastre The article gives an overview of recent developments on the geo-information infrastructure at the Cadastre. Research resulted in the implementation of a new relational extendable geographic data base for the capture, storage, update and delivery of cadastral and topographic geo-information. At the beginning of this year the conversion of the former cadastral network databases to the new relational databases was completed. Topics discussed are additional special data-types, unique object-identifiers, ex plicate representation of topology and the use of time-stamps for keeping history. 1998-6 GEODESIA Literatuur 260 Summary

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