Octrees for faster isosurface generation
ACM Transactions on Graphics (TOG)
MOF-tree: a spatial access method to manipulate multiple overlapping features
Information Systems
Multidimensional access methods
ACM Computing Surveys (CSUR)
The RasDaMan approach to multidimensional database management
SAC '97 Proceedings of the 1997 ACM symposium on Applied computing
A generalized comparison of linear representations of thematic layers
Data & Knowledge Engineering
Quadtree and R-tree indexes in oracle spatial: a comparison using GIS data
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
On the Generation of Time-Evolving Regional Data
Geoinformatica
Speeding Up Isosurface Extraction Using Interval Trees
IEEE Transactions on Visualization and Computer Graphics
Efficient Organization of Large Multidimensional Arrays
Proceedings of the Tenth International Conference on Data Engineering
Query processing techniques for arrays
The VLDB Journal — The International Journal on Very Large Data Bases
Efficient representation and extraction of 2-manifold isosurfaces using kd-trees
Graphical Models - Special issue on pacific graphics 2003
Foundations of Multidimensional and Metric Data Structures (The Morgan Kaufmann Series in Computer Graphics and Geometric Modeling)
Using bitmap index for interactive exploration of large datasets
SSDBM '03 Proceedings of the 15th International Conference on Scientific and Statistical Database Management
Efficient Storage Allocation of Large-Scale Extendible Multi-dimensional Scientific Datasets
SSDBM '06 Proceedings of the 18th International Conference on Scientific and Statistical Database Management
A Visualization System for Space-Time and Multivariate Patterns (VIS-STAMP)
IEEE Transactions on Visualization and Computer Graphics
Scalable Data Servers for Large Multivariate Volume Visualization
IEEE Transactions on Visualization and Computer Graphics
Journal of Visual Communication and Image Representation
Component-based Data Layout for Efficient Slicing of Very Large Multidimensional Volumetric Data
SSDBM '07 Proceedings of the 19th International Conference on Scientific and Statistical Database Management
Multi-resolution bitmap indexes for scientific data
ACM Transactions on Database Systems (TODS)
IEEE Transactions on Visualization and Computer Graphics
Column-stores vs. row-stores: how different are they really?
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Spatial indexing in microsoft SQL server 2008
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Towards a general theory of geographic representation in GIS
International Journal of Geographical Information Science
High performance multivariate visual data exploration for extremely large data
Proceedings of the 2008 ACM/IEEE conference on Supercomputing
Breaking the Curse of Cardinality on Bitmap Indexes
SSDBM '08 Proceedings of the 20th international conference on Scientific and Statistical Database Management
A comparative benchmark of large objects in relational databases
IDEAS '08 Proceedings of the 2008 international symposium on Database engineering & applications
Query-Driven Visualization of Time-Varying Adaptive Mesh Refinement Data
IEEE Transactions on Visualization and Computer Graphics
VisGets: Coordinated Visualizations for Web-based Information Exploration and Discovery
IEEE Transactions on Visualization and Computer Graphics
A comparison of approaches to large-scale data analysis
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Designing a Geo-scientific Request Language - A Database Approach
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
Finding Regions of Interest in Large Scientific Datasets
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
VDM-RS: A visual data mining system for exploring and classifying remotely sensed images
Computers & Geosciences
Kd-Jump: a Path-Preserving Stackless Traversal for Faster Isosurface Raytracing on GPUs
IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Visualization and Computer Graphics
ADaM: a data mining toolkit for scientists and engineers
Computers & Geosciences
Terascale data organization for discovering multivariate climatic trends
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis
Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research & Application
Indexing large-scale raster geospatial data using massively parallel GPGPU computing
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Efficient histogramming of large-scale geospatial rasters in supporting of web-based queries
Proceedings of the ACM SIGSPATIAL Second International Workshop on High Performance and Distributed Geographic Information Systems
A generalization of quad-trees applied to image coding
Integrated Computer-Aided Engineering
Hi-index | 0.00 |
Traditionally environmental scientists are limited to simple display and animation of large-scale raster geospatial data derived from remote sensing instrumentation and model simulation outputs. Identifying regions that satisfy certain range criteria, e.g., temperature between [t1,t2) and precipitation between [p1,p2), plays an important role in query-driven visualization and visual exploration in general. In this study, we have proposed a Binned Min-Max Quadtree (BMMQ-Tree) to index large-scale numeric raster geospatial data and efficiently process queries on identifying regions of interests by taking advantages of the approximate nature of visualization related queries. We have also developed an end-to-end system that allows users visually and interactively explore large-scale raster geospatial data in a Web-based environment by integrating our query processing backend and a commercial Web-based Geographical Information System (Web-GIS). Experiments using real global environmental data have demonstrated the efficiency of the proposed BMMQ-Tree. Both experiences and lessons learnt from the development of the prototype system and experiments on the real dataset are reported.