206
Views
8
CrossRef citations to date
0
Altmetric
REFEREED PAPERS

Experiments to Distribute and Parallelize Map Generalization Processes

ORCID Icon, , &

References

  • Anders, K.-H. (2003). ‘ A hierarchical graph clustering approach to find groups of objects’, in Proceedings of 5th ICA Workshop on Progress in Automated Map Generalization. Paris, France.
  • Basaraner, M. and Selcuk, M. (2008). ‘A structure recognition technique in contextual generalisation of buildings and built-up areas’, The Cartographic Journal, 45 (4), pp. 274–285. doi: 10.1179/174327708X347773
  • Brédif, M., Vallet, B. and Ferrand, B. (2015). ‘Distributed dimensionality-based rendering of lidar point clouds’, in International Archives of Photogrammetry Remote Sensing and Spatial Information Sciences (GeoBigData). XL-3/W5, Montpellier, France.
  • Briat, M.-O., Monnot, J.-L., Punt, E. M. (2011). ‘Scalability of contextual generalization processing using partitioning and parallelisation’, in Proceedings of 14th ICA Workshop on Generalisation and Multiple Representation. Paris, France.
  • Bucher, B., Brasebin, M., Buard, E., Grosso, E., Mustière, S. and Perret, J. (2012). ‘GeOxygene: built on top of the expertness of the french NMA to host and share advanced GI science research results’, in Geospatial Free and Open Source Software in the 21st Century, ed. by Bocher, E. and Neteler, M., pp. 21–33, Springer, Berlin Heidelberg.
  • Bundy, G. L., Jones, C. B. and Furse, E. (1995). ‘Holistic generalization of large-scale cartographic data’, in GIS and Generalisation: Methodology and Practice, ed. by Müller, J.-C., Lagrange, J.-P. and Weibel, R., pp. 106–119, Taylor & Francis, London.
  • Burghardt, D. and Neun, M. (2006). ‘Automated sequencing of generalisation services based on collaborative filtering’, in Geographic Information Science – 4th International Conference GIScience, ed. by Raubal, M., Miller, H. J., Frank, A. U., Goodchild, M. F. IFGI prints, pp. 41–46, Münster, Germany.
  • Chaudhry, O. Z. and Mackaness, W. A. (2008). ‘Partitioning techniques to make manageable the generalisation of national spatial datasets’, in ICA Workshop on Generalisation and Multiple Representation. Montpellier, France.
  • Chaudhry, O. Z. and Mackaness, W. A. (2010). ‘DTM generalisation: Handling large volumes of data for Multi-Scale mapping’, The Cartographic Journal, 47 (4), pp. 360–370. doi: 10.1179/000870410X12911342853948
  • Douglas, D. H. and Peucker, T. K. (1973). ‘Algorithms for the reduction of the number of points required to represent a digitized line or its caricature’, Cartographica: The International Journal for Geographic Information and Geovisualization, 10 (2), pp. 112–122. doi: 10.3138/FM57-6770-U75U-7727
  • Foerster, T., Stoter, J. and Kraak, M.-J. (2010). ‘Challenges for automated generalisation at European mapping agencies: A qualitative and quantitative analysis’, The Cartographic Journal, 47 (1), pp. 41–54. doi: 10.1179/000870409X12525737905123
  • Gaffuri, J. (2012). ‘Toward web mapping with vector data’, in Geographic Information Science, ed. by Xiao, N., Kwan, M.-P., Goodchild, M. and Shekhar, S., pp. 87–101, Springer, Berlin Heidelberg.
  • Lokhat, I. and Touya, G. (2016). ‘Enhancing building footprints with squaring operations’, Journal of Spatial Information Science, 13, pp. 33–60.
  • Regnauld, N. (2014). ‘1Generalise: 1Spatial’s new automatic generalisation platform’, in Proceedings of 17th ICA Workshop on Generalisation and Multiple Representation. Vienna, Austria.
  • Regnauld, N., Touya, G., Gould, N. and Foerster, T. (2014). ‘Process modelling, web services and geoprocessing’, in Abstracting Geographic Information in a Data Rich World, ed. by Burghardt, D., Duchêne, C. and Mackaness, W., pp. 198–225, Springer, Berlin Heidelberg.
  • Renard, J., Gaffuri, J. and Duchêne, C. (2010). ‘Capitalisation problem in research – example of a new platform for generalisation: CartAGen’, in Proceedings of 11th ICA Workshop on Generalisation and Multiple Representation. Zurich, Switzerland.
  • Ruas, A. and Plazanet, C. (1996). ‘Strategies for automated generalization’, in 7th International Symposium on Spatial Data Handling. Delft, Netherlands, pp. 319–336.
  • Sester, M., Jokar Arsanjani, J., Klammer, R., Burghardt, D. and Haunert, J.-H. (2014). ‘Integrating and generalising volunteered geographic information’, in Abstracting Geographic Information in a Data Rich World, ed. by Burghardt, D., Duchêne, C. and Mackaness, W., pp. 119–155, Springer International Publishing, Cham, Switzerland.
  • Stanislawski, L. V., Falgout, J. and Buttenfield, B. P. (2015). ‘Automated extraction of natural drainage density patterns for the conterminous United States through High-Performance computing’, The Cartographic Journal, 52 (2), pp. 185–192. doi: 10.1080/00087041.2015.1119466
  • Stoter, J., van Smaalen, J., Bakker, N. and Hardy, P. (2009). ‘Specifying map requirements for automated generalization of topographic data’, The Cartographic Journal, 46 (3), pp. 214–227. doi: 10.1179/174327709X446637
  • Thiemann, F., Warneke, H., Sester, M. and Lipeck, U. (2011). ‘A scalable approach for generalization of land cover data’, in Advancing Geoinformation Science for a Changing World, ed. by Geertman, S., Reinhardt, W. and Toppen, F., pp. 399–420, Springer, Berlin, Heidelberg.
  • Thiemann, F., Werder, S., Globig, T. and Sester, M. (2013). ‘Investigations into partitioning of generalization processes in a distributed processing framework’, in Proceedings of the 26th International Cartographic Conference, ed. by Buchroithner, M. F., Dresden, Germany.
  • Touya, G. (2010). ‘Relevant space partitioning for collaborative generalisation’, in Proceedings of 12th ICA Workshop on Generalisation and Multiple Representation. Zurich, Switzerland.
  • Visvalingam, M. and Whelan, J. C. (2016). ‘Implications of weighting metrics for line generalization with Visvalingam’s algorithm’, The Cartographic Journal, 53 (3), pp. 253–267. doi: 10.1080/00087041.2016.1149906
  • Visvalingam, M. and Whyatt, J. D. (1993). ‘Line generalisation by repeated elimination of points’, The Cartographic Journal, 30 (1), pp. 46–51. doi: 10.1179/caj.1993.30.1.46

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.