Geoscience Reference
In-Depth Information
De Berg M, Bose P, Cheong O, Morin P (2004) On simplifying dot maps, Computational
Geometry: Theory and Applications, v.27 n.1, p.43-62, January 2004.
Eckert M (1921) Die Kartenwissenschaft. DeGruyter, Berlin/New York.
Edwardes A, Burghardt D & Weibel R (2005). Portrayal and Generalisation of Point Maps for
Mobile Information Services. In: Meng, L., Zipf, A. & Reichenbacher, T. (eds.). Map-based
Mobile Services - Theories, Methods and Implementations. Springer-Verlag.
Flewelling D M, Egenhofer M J (1993) Formalizing importance: parameters for settlement selec-
tion from a geographic database, in Proceedings of Auto-Carto 11 (11th International Confer-
ence on Automated Cartography), Minneapolis, 1993, pp. 167-175.
Hake G, Grünreich D and Meng L (2002) Kartographie. Visualisierung raum-zeitlicher
Informationen (8. Ausgabe). DeGruyter, Berlin/New York.
Krisp J M, Peters S (2010) Visualizing Dynamic 3D Densities: A Lava-lamp approach, Work-
shop on Movement Research, 13th AGILE International Conference on Geographic Informa-
tion Science, 10-14 May 2010 - Guimarães, Portugal.
Krisp J M, Peters S Burkert F, Butenuth M (2010) Visual Identification of Scattered Crowd
Movement Patterns Using a Directed Kernel Density Estimation, SPM2010 Mobile Tartu,
26.-28. August 2010, Tartu, Estonia.
Krisp J M, Peters S, Murphy C E, FAN H (2009) Visual Bandwidth Selection for Kernel Density
Maps, PFG Photogrammetrie Fernerkundung Geoinformation, 5/2009, S.445-454.
Li ZL (2007b) Algorithmic Foundation of Multi-scale Spatial Representation. CRC Press (Taylor
& Francis Group), Bacon Raton. 280pp.
Li Z, Huang P (2002) Quantitative measures for spatial information of maps. International Jour-
nal of Geographical Information Systems 16 (7), 699-709.
Langran GE, Poicker TK (1986) Integration of name selection and name placement. In: Proceed-
ings of second International Symposium on Spatial Data Handling, Washington, USA, pp.
50-64.
Mackaness WA, Ruas A & Sarajakoski LT (2007) Generalisation of Geographic Information:
Cartographic Modelling and Applications. Elsevier Science.
Mustière S, Moulin B (2002) “What is Spatial Context in Cartographic Generalisation?”. IAPRS
& SIS, Geospatial Theory, processing and Applications, Vol. 34, No. 4, Ottawa, Canada, 8-
12 July, 2002, pp. 274-278.
Neumann J (1994) The topological information content of a map: an attempt at a rehabilitation of
information theory in cartography. Cartographica 31 (1), 26-34.
NVAC (2010) National Visualization and Analytics Center, http://nvac.pnl.gov/, accessed
01.09.2010.
Peters S, Krisp J (2010) Density calculation for moving points, 13th AGILE International Con-
ference on Geographic Information Science, 10-14 May 2010 - Guimarães, Portugal.
Qian H, Wu F, Deng H (2005) A model of point cluster selection with circle characters. Science
of Surveying and Mapping, Beijing, 3, pp.83-86.
Qian H (2006) Automated cartographic generalization and intelligent generalization process con-
trol. PhD thesis, Information Engineering University.
Qian H, Meng L, Wu F and Wang J (2006) The generalization of point clusters and its quality
assessment based on a polarization approach. Mapping and Image Science, 4, pp.55-63.
Qian H, Meng L & Zhang M (2007) Network simplification based on the algorithm of polariza-
tion transformation. In:CD-Proceedings of the XXIII International Cartographic Conference
(ICC), Cartographic Generalization and Multiple Representation, Moscow, Russia, 4-10 Au-
gust, 2007.
Scott DW, 1992: Mulivariate Density Estimation. Wiley.
Slocum T A, McMaster R B, Kessler F C and Howard H H (2005) Thematic Cartography and
Geographic Visualization. Second Edition. Upper Saddle River, New Jersey: Pearson Educa-
tion.
Sukhov V (1967) Information capacity of a map entropy. Geodesy and Aerophotography 10 (4),
212-215.
