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Estimating range of influence in case of missing spatial data: a simulation study on binary data
1 references·2 citing·12 second hop
Estimating range of influence in case of missing spatial data: a simulation study on binary data (2015)Estimating range of influence in case of …An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)An Explicit Link between Gaus…Maximum interpolable gap length in missing smartphone-based GPS mobility data (2022)Maximum interpolable gap leng…Prediction of human active mobility in rural areas: development and validity tests of three different approaches (2019)Prediction of human active mo…Spatial Interaction and the Statistical Analysis of Lattice Systems (1974)Design and Analysis of Computer Experiments (1989)Statistics for Spatial Data (1993)Spatial and spatio-temporal models with R-INLA (2013)Spatial and spatio-temporal models with R-INLA (2013)Bayesian Spatial Modelling withR-INLA (2015)Observing the rhythms of daily life: A six-week travel diary (2002)Travel mode choice: affected by objective or subjective determinants? (2007)Health impact assessment of active transportation: A systematic review (2015)Review of GPS Travel Survey and GPS Data-Processing Methods (2014)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Applying mobile phone data to travel behaviour research: A literature review (2017)
this work references cited by second hop

References

  • 2011An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach2,705 cited

Cited by

  • 2022Maximum interpolable gap length in missing smartphone-based GPS mobility data4 cited
  • 2019Prediction of human active mobility in rural areas: development and validity tests of three different approaches4 cited

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