NDF: An effective mobile GIS physical storage model

Li Kai, Zhong Ershun, Song Guanfu, Cao Guofeng, Zhang Lili, Wu Qian

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Real-time mobile GIS applications, e.g. car navigation, need effective spatial data storage model fit for the mobile compute environment. Therefore, Physical Storage Format (PSF) is an important technical bottleneck of some real-time requirement such as map browsing, route planning, driver guidance, point of interesting (POI) search and 3D visualization. This paper proposes a new storage model based on mobile navigation application, named as Navigation Data Format (NDF). The NDF adopt multi-level model to organize spatial data (e.g. map of background) that has notable effect to reduce the memory cost of map browsing. The road network data of NDF is built based upon hierarchical topological structure which can support the speed-up way finding algorithm. The page frameworks of the NDF compared with current PSF, have introduced some new features. Firstly, NDF has good adaptability to various kinds of mobile computer environment. Secondly it provides facility for incremental update. Further, the NDF has been adopted as candidate national standard of China.

Original languageEnglish
Title of host publicationGeoinformatics 2007
Subtitle of host publicationGeospatial Information Technology and Applications
EditionPART 2
DOIs
StatePublished - 2007
EventGeoinformatics 2007: Geospatial Information Technology and Applications - Nanjing, China
Duration: May 25 2007May 27 2007

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
NumberPART 2
Volume6754
ISSN (Print)0277-786X

Conference

ConferenceGeoinformatics 2007: Geospatial Information Technology and Applications
CountryChina
CityNanjing
Period05/25/0705/27/07

Keywords

  • Navigation data file (NDF)
  • Navigation system
  • Physical storage format (PSF)

Fingerprint Dive into the research topics of 'NDF: An effective mobile GIS physical storage model'. Together they form a unique fingerprint.

Cite this