期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：6
页码：5163-5165
出版社：TechScience Publications
摘要：Geosciences include remote sensing images, climate model simulation and so on. The spatial-temporal data have become more and more multidimensional, enormous and are constantly being modernized. As an outcome, the integrated maintenance of these data is becoming a challenge. A blocked Effective Hierarchical structured version within the split-andmerge hypothesis for the compacted storage, endless updating and data querying of multidimensional geospatial field data. The unique multidimensional geospatial field data are split into small blocks in accordance to their spatial-temporal references. The blocks are then characterized and compressed as Hierarchical structures for updating and querying. They are then combined into a single hierarchical tree. The use of buffered binary tree data structure and equivalent optimized operation algorithms, the original data can be constantly compressed, attached, and queried. In comparison with conventional systems, the new approach is revealed to keep hold of the features of the original data with much lesser storage expenses and faster computational performance. The outcome implies an efficient structure for integrated storage, presentation and computation of multidimensional geospatial field data.
