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A novel information retrieval method based on R-tree index for smart hospital information system
2019
International Journal of Advanced Computer Research
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Acknowledgment This work was supported in part by the National Natural Science Foundation of China (NSFC) under Grants no. 61801171, and in part by the basic research projects at the University of Henan ...
As one of the most popular dynamic spatial index structures [20−22] , Rtree is widely used in prototype research and commercial spatial database systems. ...
Because of dynamics, aggregation and high efficiency, R-tree becomes one of the most widely used and mature indexing technologies in today. ...
doi:10.19101/ijacr.2019.940030
fatcat:uc3ndnqn4va3dj7cnzmfjcayca
Investigation and Visualization of Query Determine Spatial Pattern in GIS
2018
Indonesian Journal of Electrical Engineering and Computer Science
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Geo server handle the client questions and show the outcome on the dynamic maps.</p> ...
Information like area astute populace, schools and healing facilities is gathered from various sources. To store GIS information PostgreSQL and PostGIS is giving a good support and capable database. ...
The point is to discover thickness based clusters in spatial information. ...
doi:10.11591/ijeecs.v9.i3.pp552-554
fatcat:6nvmzq6o7ngzbokim6cwjb5js4
Revisiting R-Tree Construction Principles
[chapter]
2002
Lecture Notes in Computer Science
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We compare our clustering approach to two prominent examples of spatial access methods, the R-and the R*-tree. ...
In particular, we argue that dynamic R-tree construction is a typical clustering problem which can be addressed by incorporating existing clustering algorithms. ...
In the field of coupling clustering and spatial indexing, to our knowledge, it is the first time to incorporate a clustering algorithm into a dynamic spatial access method. ...
doi:10.1007/3-540-45710-0_13
fatcat:7dd2r3d6jnhzphn6zfwo2gyatq
Research of spatial data cache index of electricity GIS
2013
Applied Mathematics & Information Sciences
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This paper studies the application of present situation of the GIS platform in the power industry, in view of the existing problems, putting forward a kind of spatial data model of the power facilities ...
for power industry, and putting forward clustering indexing method based on semantic meaning, and accelerating the response speed of the multi-level cache mechanism. ...
The authors are grateful to the anonymous referee for a careful checking of the details and for helpful comments that improved this paper. ...
doi:10.12785/amis/070336
fatcat:ky6qkgsbofgn7kcaem65pqgfam
Indexing of Query on Spatial Data in P2P Systems
2012
IOSR Journal of Engineering
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The main objective of this paper is to analyze the process of preserving the locality and dimensionality of space in the network. ...
Spatial P2P is dynamic in nature. Spatial objects are having distinct properties like identity location and relationship among them and spatial data is multidimensional. ...
In traditional database systems, NN queries are executed always starting from the root of that tree, i.e., the top-most level clustering; in contrast, in a peer to-peer environment any node should have ...
doi:10.9790/3021-0203451453
fatcat:m5ovnigcinei7movrafdzzywam
THE INFLUENCE OF SPATIAL AND SIZE SCALE ON PHYLOGENETIC RELATEDNESS IN TROPICAL FOREST COMMUNITIES
2007
Ecology
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When spatial-and sizescaling axes were analyzed in concert, phylogenetic overdispersion of co-occurring species was most important at small spatial scales and in four of five FDPs for the largest size ...
The relative importance of biotic, abiotic, and stochastic processes in structuring ecological communities continues to be a central focus in community ecology. ...
Recent work by Swenson et al. (2006) has shown that as the spatial scale of the species pool is increased in relation to the local assemblage scale, phylogenetic clustering becomes more common. ...
doi:10.1890/06-1499.1
pmid:17645023
fatcat:ujv3pe6rarfh3igmr2p677jpd4
An efficient 3D R-tree spatial index method for virtual geographic environments
2007
ISPRS journal of photogrammetry and remote sensing (Print)
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Being one of the most promising methods, the R-tree spatial index has been paid increasing attention in 3D geospatial database management. ...
A new spatial cluster grouping algorithm and R-tree insertion algorithm is then proposed. ...
Acknowledgments The work described in this paper was supported by National Natural Science Foundation of China (40671158 and 40620130438) and National High Technology Research and Development Program of ...
doi:10.1016/j.isprsjprs.2007.05.007
fatcat:dxliuix7l5gfxnnm7kpjgrc45a
New methods for topological clustering and spatial access in object-oriented 3D databases
2001
Proceedings of the ninth ACM international symposium on Advances in geographic information systems - GIS '01
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We are presenting new methods for the efficient spatial access and the physical clustering of 3D geometries according to their topology. ...
On the other hand, geoscientists and engineers need 3D surface and solid data to research dynamic processes. ...
Acknowledgements The concepts realized in GeoToolKit have been developed in close cooperation with the Geological Institute at the University of Bonn. ...
doi:10.1145/512161.512194
dblp:conf/gis/BreunigCMS01
fatcat:kfrewyuto5cqfo7v4l2gmyjwna
New methods for topological clustering and spatial access in object-oriented 3D databases
2001
Proceedings of the ninth ACM international symposium on Advances in geographic information systems - GIS '01
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We are presenting new methods for the efficient spatial access and the physical clustering of 3D geometries according to their topology. ...
On the other hand, geoscientists and engineers need 3D surface and solid data to research dynamic processes. ...
Acknowledgements The concepts realized in GeoToolKit have been developed in close cooperation with the Geological Institute at the University of Bonn. ...
doi:10.1145/512191.512194
fatcat:g4r47qzrvje4vk3jujulbafoda
A Survey on Clustering Algorithms for Data in Spatial Database Management Systems
2011
International Journal of Computer Applications
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Each one of the clustering algorithm has advantages and limitations for processing multidimensional data and hence in spatial clustering process. ...
Hypergraphs and Delaunay triangulations are the enhanced features utilized in a spatial clustering algorithm. ...
INTRODUCTION Spatial data mining is the discovery of interesting relationships and characteristics that may exist implicitly in spatial databases. ...
doi:10.5120/2969-3975
fatcat:eijzgpqndff7fcptsubaew5ntm
A storage and access architecture for efficient query processing in spatial database systems
[chapter]
1993
Lecture Notes in Computer Science
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In this paper, we describe a storage and access architecture which is composed from the above building blocks in a modular fashion. ...
Due to the high complexity of objects and queries and also due to extremely large data volumes, geographic database systems impose stringent requirements on their storage and access architecture with respect ...
The first step in this direction is the development and implementation of 3D-approximation and decomposition techniques. ...
doi:10.1007/3-540-56869-7_20
fatcat:p2otzbxrb5b6hjvxsjmfehaxhm
Research and implementation on spatial data storage and operation based on Hadoop platform
2010
2010 Second IITA International Conference on Geoscience and Remote Sensing
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Those key technology problems in the application of GIS such as spatial data storage, spatial index and spatial operation were described and studied in detail. ...
We evaluated the performance and efficiency of spatial operation in Hadoop experiment environment with the real world data set. ...
For each index file, in order to achieve local data aggregation we adopt the spatial cluster method which is the index form of Hilbert ranking. ...
doi:10.1109/iita-grs.2010.5603956
fatcat:durlj2jzkbewvkr5prfxsj6rlm
Data Dissemination Techniques using DBSCAN and DD-Rtree for Spatial Data Mining
2020
International journal of recent technology and engineering
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To make the data processing done in parallel, various clustering sampling methodologies are in use such as Slink, DBSCAN, and Optics and so on. ...
Our research work will help to implements spatial data dynamically using DDR-tree mechanism. ...
in spatial databases. ...
doi:10.35940/ijrte.e6578.018520
fatcat:rfh4au4ksfcyzgojzlqedserse
A Dimension-Independent and Extensible Framework for Huge Geometric Models
[article]
2010
Smart Tools and Applications in Graphics
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The OMSM framework can be easily adapted to the users needs through dynamic plugins, providing many techniques to be integrated in a storing architecture. ...
Nowadays, gigantic models can be easily produced in many applications and their dimension often exceeds the RAM size in a common workstation. ...
only a local database. ...
doi:10.2312/localchapterevents/italchap/italianchapconf2010/111-116
dblp:conf/egItaly/Canino10
fatcat:xqvurg3v7rccrmjugvwgfuqxna
Analysis of Using Metric Access Methods for Visual Search of Objects in Video Databases
2014
Revista de Informática Teórica e Aplicada
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This article presents an approach to object retrieval that searches for and localizes all the occurrences of an object in a video database, given a query image of the object. ...
In addition, a ranking strategy based on the spatial layout of the regions (spatial consistency) is fully described and evaluated. ...
M-tree is a balanced tree, and it is able to handle dynamic data files and requires no periodic reorganization. ...
doi:10.22456/2175-2745.37349
fatcat:zjaglcwvdrgipfibnxaivo64oq
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