• An incremental refining spatia...

Result: An incremental refining spatial join algorithm for estimating query results in GIS

Title:
An incremental refining spatial join algorithm for estimating query results in GIS
Authors:
BAE, Wan D, ALKOBAISI, Shayma, LEUTENEGGER, Scott T
Source:
Database and expert systems applications (17th international conference, DEXA 2006, Kraków, Poland, September 4-8, 2006)0DEXA 2006. :935-944
Publisher Information:
Berlin; Heidelberg; New York: Springer, 2006.
Publication Year:
2006
Physical Description:
print, 16 ref 1
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Organisation des mémoires. Traitement des données, Memory organisation. Data processing, Systèmes d'information. Bases de données, Information systems. Data bases, Intelligence artificielle, Artificial intelligence, Arbre R, R tree, Arbol R, Assistance utilisateur, User assistance, Asistencia usuario, Base donnée relationnelle, Relational database, Base relacional dato, Base donnée très grande, Very large databases, Base donnée, Database, Base dato, Circonscription, Circumscription, Circonscripción, Echantillonnage, Sampling, Muestreo, Intelligence artificielle, Artificial intelligence, Inteligencia artificial, Interrogation base donnée, Database query, Interrogación base datos, Intervalle confiance, Confidence interval, Intervalo confianza, Programmation logique, Logical programming, Programación lógica, Représentation connaissance, Knowledge representation, Representación conocimientos, Réponse temporelle, Time response, Respuesta temporal, Système expert, Expert system, Sistema experto, Système information géographique, Geographic information system, Sistema información geográfica, Temps réponse, Response time, Tiempo respuesta, Programmation par ensemble reponse, Answer set programming, Programación conjunto respuesta
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Department of Computer Science, University of Denver 2360 South Gaylord Street, Denver, CO 80206, United States
ISSN:
0302-9743
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=19151332
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.19151332
Database:
PASCAL Archive

Further Information

Geographic information systems (GIS) must support large georeferenced data sets. Due to the size of these data sets finding exact answers to spatial queries can be very time consuming. We present an incremental refining spatial join algorithm that can be used to report query result estimates while simultaneously provide incrementally refined confidence intervals for these estimates. Our approach allows for more interactive data exploration. While similar work has been done in relational databases, to the best of our knowledge this is the first work using this approach in GIS. We investigate different sampling methodologies and evaluate them through extensive experimental performance comparisons. Experiments on real and synthetic data show an order of magnitude response time improvement relative to the exact answer obtained when using the R-tree join.