TY - GEN
T1 - Research and implementation of massive data atlas visual strategy
AU - Wang, Peng
AU - Zhou, Shunping
N1 - Funding Information:
This research was supported by the National Science and Technology Support Program, China (No.2012BAB11B05) and by the Research Center for GIS Software and Application Engineering, Ministry of Education Program, China University of Geosciences, Wuhan (No.20111113; No.20111114). Peng Wang and Shunping Zhou thank the great efforts they have paid.
PY - 2013
Y1 - 2013
N2 - In order to solve the display problem with massive data atlas, researchers propose five kinds of visualization strategy to improve the display efficiency in this paper. By using the strategy of establishing the atlas map frame index, hierarchical visualization, real-time dynamic projection, double buffering + multi-threading data dynamic annotation, local cache based on spatial data mining visualization, researchers basically solve the problems existing in the process of multi-source heterogeneous mass data atlas display. The strategy has achieved on the MapGIS K9-based platform and successfully applied to the basis of the outcome of mapping system of the national fundamental geographic information center. Researchers found that the display strategy is significantly more efficient than traditional visualization strategy. Thus, the effectiveness and accuracy of the algorithm are verified.
AB - In order to solve the display problem with massive data atlas, researchers propose five kinds of visualization strategy to improve the display efficiency in this paper. By using the strategy of establishing the atlas map frame index, hierarchical visualization, real-time dynamic projection, double buffering + multi-threading data dynamic annotation, local cache based on spatial data mining visualization, researchers basically solve the problems existing in the process of multi-source heterogeneous mass data atlas display. The strategy has achieved on the MapGIS K9-based platform and successfully applied to the basis of the outcome of mapping system of the national fundamental geographic information center. Researchers found that the display strategy is significantly more efficient than traditional visualization strategy. Thus, the effectiveness and accuracy of the algorithm are verified.
KW - Atlas
KW - Massive data
KW - Visualization strategy
UR - http://www.scopus.com/inward/record.url?scp=84879454182&partnerID=8YFLogxK
U2 - 10.1007/978-1-4614-7010-6_77
DO - 10.1007/978-1-4614-7010-6_77
M3 - Conference contribution
AN - SCOPUS:84879454182
SN - 9781461470090
T3 - Lecture Notes in Electrical Engineering
SP - 685
EP - 692
BT - Emerging Technologies for Information Systems, Computing, and Management
PB - Springer Verlag
T2 - 2012 International Conference on Emerging Technologies for Information Systems, Computing, and Management, ICM 2012
Y2 - 8 December 2012 through 9 December 2012
ER -