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research-article

A model for progressive transmission of spatial data based on shape complexity

Published: 01 November 2010 Publication History

Abstract

Due to the limited bandwidth available to mobile devices transmitting large amount of geographic data over the Internet to these devices is challenging. Such data is often high-resolution vector data and is far too detailed with respect to most location-based services (LBS) user requirements. A less detailed version may be sent prior to the complete dataset using a progressive transmission strategy. Progressive transmission is generally performed by transmitting a series of independent pre-computed representations of the original dataset at increasing levels of detail where the transitions between these levels are not necessarily smooth. A model is proposed in this paper for selective progressive transmission which will provide smoother transmission over increasing levels of detail. We define criteria for the comparison of similarity between the progressive states of the vector-data based on shape complexity of the polygon features. This allows development of a real-time strategy for the progressive transmission of vector data over the Internet to mobile devices.

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Cited By

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  • (2020)A Data Allocation Strategy for Geocomputation Based on Shape Complexity in A Cloud Environment Using Parallel Overlay Analysis of Polygons as an ExampleIEEE Access10.1109/ACCESS.2020.30307008(185981-185991)Online publication date: 2020
  • (2019)High-performance Overlay Analysis of Massive Geographic Polygons That Considers Shape Complexity in a Cloud EnvironmentISPRS International Journal of Geo-Information10.3390/ijgi80702908:7(290)Online publication date: 26-Jun-2019
  • (2018)A Progressive Transmission Technique for the Streaming of Point Cloud Data Using the Kinect2018 International Conference on Computing, Networking and Communications (ICNC)10.1109/ICCNC.2018.8390310(593-598)Online publication date: Mar-2018
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Published In

cover image SIGSPATIAL Special
SIGSPATIAL Special  Volume 2, Issue 3
November 2010
30 pages
EISSN:1946-7729
DOI:10.1145/1953102
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 November 2010
Published in SIGSPATIAL Volume 2, Issue 3

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Author Tags

  1. progressive transmission
  2. shape complexity OpenStreetMap
  3. vector data

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View all
  • (2020)A Data Allocation Strategy for Geocomputation Based on Shape Complexity in A Cloud Environment Using Parallel Overlay Analysis of Polygons as an ExampleIEEE Access10.1109/ACCESS.2020.30307008(185981-185991)Online publication date: 2020
  • (2019)High-performance Overlay Analysis of Massive Geographic Polygons That Considers Shape Complexity in a Cloud EnvironmentISPRS International Journal of Geo-Information10.3390/ijgi80702908:7(290)Online publication date: 26-Jun-2019
  • (2018)A Progressive Transmission Technique for the Streaming of Point Cloud Data Using the Kinect2018 International Conference on Computing, Networking and Communications (ICNC)10.1109/ICCNC.2018.8390310(593-598)Online publication date: Mar-2018
  • (2017)GIS Based Dynamic Modeling of Fire Spread with Heterogeneous Cellular Automation Model and Standardized Emergency Management ProtocolProceedings of the 3rd ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management10.1145/3152465.3152470(1-7)Online publication date: 7-Nov-2017
  • (2014)A progressive transmission strategy for GIS vector data under the precondition of pixel losslessnessArabian Journal of Geosciences10.1007/s12517-014-1467-y8:6(3461-3475)Online publication date: 31-May-2014
  • (2012)Dynamic Visualization of Geospatial Data on Small Screen Mobile DevicesAdvances in Location-Based Services10.1007/978-3-642-24198-7_5(77-90)Online publication date: 2012

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