research-article

Viewing streaming spatially-referenced data at interactive rates

Authors:

Marco D. AdelfioAuthors Info & Claims

SIGSPATIAL '14: Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

Pages 409 - 412

https://doi.org/10.1145/2666310.2666432

Published: 04 November 2014 Publication History

Abstract

Given the increasing prevalence of streaming spatially-referenced datasets resulting from sensor networks usually consisting of text objects of varying length (termed labels) as well as streaming spatially oriented queries leads to closer scrutiny of mapping interfaces to present the data to users. These interfaces must cope with the fact that the labels associated with each location are constantly changing and that there are too many objects to display clearly within the interface. An algorithm meeting these challenges is presented. It differs from classical methods by avoiding expensive pre-computation steps, thereby allowing different labels to be associated with locations without needing to completely recompute the layout. In other words, we are addressing a write-many read-many setting instead of the conventional write-once read-many setting. Our experiments show consistent sub-second query times for query windows that contain as many as 11 million data objects, with only slight differences in the set of displayed labels when compared to an exhaustive baseline algorithm. This enables the algorithm to be used in a mapping application that involves both streaming data and streaming queries such as windowing realized by real-time, continuous zooming and panning operations.

References

[1]

M. D. Adelfio and H. Samet. Geo Whiz: Using common categories for toponym resolution. In P. Widmayer, editors, GIS, pages 542--545, Orlando, FL, 2013.

[2]

M. D. Adelfio and H. Samet. Structured toponym resolution using combined hierarchical place categories. In GIR, pages 49--56, Orlando, FL, Nov. 2013.

Digital Library

[3]

P. K. Agarwal, M. J. van Kreveld, and S. Suri. Label placement by maximum independent set in rectangles. Comput. Geom., 11(3--4):209--218, 1998.

Digital Library

[4]

K. Been, E. Daiches, and C.-K. Yap. Dynamic map labeling. IEEE TVCG, 12(5):773--780, Sep-Oct, 2006.

Digital Library

[5]

J. Christensen, J. Marks, and S. Shieber. An empirical study of algorithms for point-feature label placement. ACM TOGS, 14(3):203--232, 1995.

Digital Library

[6]

S. Doddi, M. V. Marafhe, A. Mirzaian, B. M. E. Moret, and B. Zhu. Map labeling and its generalizations. In SODA, pages 148--157, New Orleans, LA, 1998.

Digital Library

[7]

C. Esperança and H. Samet. Experience with SAND/Tcl: a scripting tool for spatial databases. Journal of Vis. Lang, and Comput., 13(2):229--255, 2002.

[8]

M. Formann and F. Wagner. A packing problem with applications to lettering of maps. In SOCG, pages 281--288, North Conway, NH, USA, 1991.

Digital Library

[9]

B. C. Fruin, H. Samet, and J. Sankaranarayanan. Tweetphoto: photos from news tweets. In GIS, pages 582--585, Redondo Beach, CA, 2012.

Digital Library

[10]

N. Gramsky and H. Samet. Seeder finder - identifying additional needles in the Twitter haystack. In LBSN, pages 44--53, Orlando, FL, 2013.

Digital Library

[11]

G. R. Hjaltason and H. Samet. Speeding up construction of PMR quadtree-based spatial indexes. VLDBJ, 11(2): 109--137, 2002.

Digital Library

[12]

E. G. Hoel and H. Samet. Benchmarking spatial join operations with spatial output. In VLDB, pages 606--618, Zurich, Switzerland, 1995.

Digital Library

[13]

A. Jackoway, H. Samet, and J. Sankaranarayanan. Identification of live news events using Twitter. In LBSN, pages 25--32, Chicago, 2011.

Digital Library

[14]

M. D. Lieberman and H. Samet. Multifaceted toponym recognition for streaming news. In SIGIR, pages 843--852, Beijing, China, 2011.

Digital Library

[15]

M. D. Lieberman and H. Samet. Adaptive context features for toponym resolution in streaming news. In SIGIR, pages 731--740, Portland, OR, 2012.

Digital Library

[16]

M. D. Lieberman and H. Samet. Supporting rapid processing and interactive map-based exploration of streaming news. In GIS, pages 179--188, Redondo Beach, CA, 2012.

Digital Library

[17]

M. D. Lieberman, H. Samet, and J. Sankaranarayanan. Geotagging with local lexicons to build indexes for textually-specified spatial data. In ICDE, pages 201--212, Long Beach, CA, 2010.

[18]

M. D. Lieberman, H. Samet, and J. Sankaranarayanan. Geotagging: Using proximity, sibling, and prominence clues to understand comma groups. In GIR, article 6, Zurich, Switzerland, 2010.

Digital Library

[19]

S. Nutanong, M. D. Adelfio, and H. Samet. Multiresolution select-distinct queries on large geographic point sets. In GIS, pages 159--168, Redondo Beach, CA, 2012.

Digital Library

[20]

S. Nutanong, M. D. Adelfio, and H. Samet. An efficient layout method for a large collection of geographic data entries. In EDBT, pages 717--720, Genoa, Italy, 2013.

Digital Library

[21]

G. Quercini, H. Samet, J. Sankaranarayanan, and M. D. Lieberman. Determining the spatial reader scopes of news sources using local lexicons. In GIS, pages 43--52, San Jose, CA, 2010.

Digital Library

[22]

H. Samet. A quadtree medial axis transform. CACM, 26(9):680--693, Sep. 1983. Also see CORRIGENDUM, CACM, 27(2):151, 1984.

Digital Library

[23]

H. Samet. Foundations of Multidimensional and Metric Data Structures. Morgan-Kaufmann, San Francisco, 2006. (Translated to Chinese ISBN 978-7-302-22784-7).

Digital Library

[24]

H. Samet and M. Tamminen. Bintrees, CSG trees, and time. Computer Graphics, 19(3):121--130, 1985.

Digital Library

[25]

H. Samet, A. Rosenfeld, C. A. Shaffer, and R. E. Webber. A geographic information system using quadtrees. Pattern Recognition, 17(6):647--656, 1984.

[26]

H. Samet, H. Alborzi, F. Brabec, C. Esperança, G. R. Hjaltason, F. Morgan, and E. Tanin. Use of the SAND spatial browser for digital government applications. CACM, 46(1):63--66, 2003.

Digital Library

[27]

H. Samet, M. D. Adelfio, B. C. Fruin, M. D. Lieberman, and B. E. Teitler. Porting a web-based mapping application to a smartphone app. In GIS, pages 525--528, Chicago, 2011.

Digital Library

[28]

H. Samet, B. E. Teitler, M. D. Adelfio, and M. D. Lieberman. Adapting a map query interface for a gesturing touch screen interface. In WWW (Companion Volume), pages 257--260, Hyderabad, India, 2011.

Digital Library

[29]

H. Samet, M. D. Adelfio, B. C. Fruin, M. D. Lieberman, and J. Sankaranarayanan. PhotoStand: a map query interface for a database of news photos. PVLDB, 6(12):1350--1353, 2013.

Digital Library

[30]

H. Samet, J. Sankaranarayanan, M. D. Lieberman, M. D. Adelfio, B. C. Fruin, J. M. Lotkowski, D. Panozzo, J. Sperling, and B. E. Teitler. Reading news with maps by exploiting spatial synonyms. Communications of the ACM, 57(10), Oct. 2014.

Digital Library

[31]

J. Sankaranarayanan and H. Samet. Images in news. In ICPR, pages 3240--3243, Istanbul, Turkey, 2010.

Digital Library

[32]

J. Sankaranarayanan, H. Samet, B. Teitler, M. D. Lieberman, and J. Sperling. TwitterStand: News in tweets. In GIS, pages 42--51, Seattle, WA, 2009.

Digital Library

[33]

A. D. Sarma, H. Lee, H. Gonzalez, J. Madhavan, and A. Y. Halevy. Efficient spatial sampling of large geographical tables. In SIGMOD, pages 193--204, Scottsdale, AZ, 2012.

Digital Library

[34]

C. A. Shaffer, H. Samet, and R. C. Nelson. QUILT: a geographic information system based on quadtrees. IJGIS, 4(2):103--131, 1990.

[35]

R. Sivan and H. Samet. Algorithms for constructing quadtree surface maps. In SDH, volume 1, pages 361--370, Charleston, SC, 1992.

[36]

E. Tanin, A. Harwood, and H. Samet. A distributed quadtree index for peer-to-peer settings. In ICDE, pages 254--255, Tokyo, Japan, 2005.

Digital Library

[37]

B. Teitler, M. D. Lieberman, D. Panozzo, J. Sankaranarayanan, H. Samet, and J. Sperling. NewsStand: A new view on news. In GIS, pages 144--153, Irvine, CA, 2008.

Digital Library

[38]

F. Wagner and A. Wolff. An efficient and effective approximation algorithm for the map labeling problem. In ESA, vol. 979 of Springer-Verlag Lecture Notes in Computer Science, pages 420--433, Corfu, Greece, 1995.

Digital Library

Cited By

Degbelo AKray CBanaei-Kashani FHoel EGüting RTamassia RXiong L(2018)Intelligent geovisualizations for open government data (vision paper)Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems10.1145/3274895.3274940(77-80)Online publication date: 6-Nov-2018
https://dl.acm.org/doi/10.1145/3274895.3274940
Guo TLi MLi PBao ZCong GDas GJermaine CBernstein P(2018)POIsamProceedings of the 2018 International Conference on Management of Data10.1145/3183713.3193549(1677-1680)Online publication date: 27-May-2018
https://dl.acm.org/doi/10.1145/3183713.3193549
Guo TFeng KCong GBao ZDas GJermaine CBernstein P(2018)Efficient Selection of Geospatial Data on Maps for Interactive and Visualized ExplorationProceedings of the 2018 International Conference on Management of Data10.1145/3183713.3183738(567-582)Online publication date: 27-May-2018
https://dl.acm.org/doi/10.1145/3183713.3183738
Show More Cited By

Index Terms

Viewing streaming spatially-referenced data at interactive rates

Recommendations

Building a new classifier in an ensemble using streaming unlabeled data
IEA/AIE'10: Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II

It is expensive and impractical to manually label all samples in realworld streaming data when the correct class is not available in real time. In this paper, we propose an ensemble method of determining which samples should be labeled from streaming ...
A dynamic balanced quadtree for real-time streaming data
Abstract
With the advent of big data, industries and individuals generate a large amount of stream data through various intelligent devices. Stream data arrive gradually over time, unlike historical data. This causes an increasingly unbalanced ...
Highlights
- Formally defines the quadtree imbalance problem caused by constant stream data density.
A Spreadsheet Model for Handling Streaming Data
CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

We present a spreadsheet model for working with streaming data. Our prototype tool presents techniques to let the user stream data from web services and web input elements to a spreadsheet without preprogramming those sources into the tool. Spreadsheet ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

SIGSPATIAL '14: Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 2014

651 pages

ISBN:9781450331319

DOI:10.1145/2666310

General Chairs:
Yan Huang
University of North Texas
,
Markus Schneider
University of Florida
,
Program Chairs:
Michael Gertz
Heidelberg University, Germany
,
John Krumm
Microsoft Research
,
Jagan Sankaranarayanan
NEC Labs

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

ESRI
Yandex
Google Inc.
NVIDIA
University of North Texas: University of North Texas
Microsoft: Microsoft
ORACLE: ORACLE
Facebook: Facebook
SIGSPATIAL: ACM Special Interest Group on Spatial Information

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 November 2014

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

SIGSPATIAL '14

Sponsor:

University of North Texas
Microsoft
ORACLE
Facebook
SIGSPATIAL

SIGSPATIAL '14: 22nd SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 4 - 7, 2014

Texas, Dallas

Acceptance Rates

SIGSPATIAL '14 Paper Acceptance Rate 39 of 184 submissions, 21%;

Overall Acceptance Rate 257 of 1,238 submissions, 21%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

7
Total Citations
View Citations
108
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)0

Reflects downloads up to 28 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Degbelo AKray CBanaei-Kashani FHoel EGüting RTamassia RXiong L(2018)Intelligent geovisualizations for open government data (vision paper)Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems10.1145/3274895.3274940(77-80)Online publication date: 6-Nov-2018
https://dl.acm.org/doi/10.1145/3274895.3274940
Guo TLi MLi PBao ZCong GDas GJermaine CBernstein P(2018)POIsamProceedings of the 2018 International Conference on Management of Data10.1145/3183713.3193549(1677-1680)Online publication date: 27-May-2018
https://dl.acm.org/doi/10.1145/3183713.3193549
Guo TFeng KCong GBao ZDas GJermaine CBernstein P(2018)Efficient Selection of Geospatial Data on Maps for Interactive and Visualized ExplorationProceedings of the 2018 International Conference on Management of Data10.1145/3183713.3183738(567-582)Online publication date: 27-May-2018
https://dl.acm.org/doi/10.1145/3183713.3183738
Samet HNutanong SFruin B(2016)Dynamic presentation consistency issues in smartphone mapping appsCommunications of the ACM10.1145/297132259:9(58-67)Online publication date: 24-Aug-2016
https://dl.acm.org/doi/10.1145/2971322
Du RVarshney A(2016)Social street viewProceedings of the 21st International Conference on Web3D Technology10.1145/2945292.2945294(77-85)Online publication date: 22-Jul-2016
https://dl.acm.org/doi/10.1145/2945292.2945294
Samet HNutanong SFruin B(2016)Static presentation consistency issues in smartphone mapping appsCommunications of the ACM10.1145/290437859:5(88-98)Online publication date: 26-Apr-2016
https://dl.acm.org/doi/10.1145/2904378
Hao Li Peng SSamet H(2016)Streaming news image summarization2016 23rd International Conference on Pattern Recognition (ICPR)10.1109/ICPR.2016.7899813(1279-1284)Online publication date: Dec-2016
https://doi.org/10.1109/ICPR.2016.7899813

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten