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Analytical methods for error propagation in planar space–time prisms

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  • Tetsuo Kobayashi
  • Harvey Miller
  • Walied Othman

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Suggested Citation

  • Tetsuo Kobayashi & Harvey Miller & Walied Othman, 2011. "Analytical methods for error propagation in planar space–time prisms," Journal of Geographical Systems, Springer, vol. 13(4), pages 327-354, December.
    • Handle: RePEc:kap:jgeosy:v:13:y:2011:i:4:p:327-354
    DOI: 10.1007/s10109-010-0139-z
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    References listed on IDEAS

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    1. Michael F. Goodchild, 2004. "A general framework for error analysis in measurement-based GIS," Journal of Geographical Systems, Springer, vol. 6(4), pages 323-324, December.
    2. Hall, Randolph W., 1983. "Travel outcome and performance: The effect of uncertainty on accessibility," Transportation Research Part B: Methodological, Elsevier, vol. 17(4), pages 275-290, August.
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    Cited by:

    1. Jie Xue & Yee Leung & Jiang-Hong Ma, 2015. "High-order Taylor series expansion methods for error propagation in geographic information systems," Journal of Geographical Systems, Springer, vol. 17(2), pages 187-206, April.
    2. Zhangcai Yin & Zhanghaonan Jin & Shen Ying & Sanjuan Li & Qingquan Liu, 2020. "A spatial data model for urban spatial–temporal accessibility analysis," Journal of Geographical Systems, Springer, vol. 22(4), pages 447-468, October.
    3. Shuqiang Xue & Yuanxi Yang & Yamin Dang, 2016. "Formulas for precisely and efficiently estimating the bias and variance of the length measurements," Journal of Geographical Systems, Springer, vol. 18(4), pages 399-415, October.
    4. Shih-Lung Shaw, 2023. "Time geography in a hybrid physical–virtual world," Journal of Geographical Systems, Springer, vol. 25(3), pages 339-356, July.

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    More about this item

    Keywords

    Spatial error; Error propagation analysis; Geographic information science; Time geography; Space–time prisms; C1; R4;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

    Statistics

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