DeepGTT: Learning Travel Time Distributions with Deep Generative Model
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Updated
Mar 25, 2019 - Jupyter Notebook
DeepGTT: Learning Travel Time Distributions with Deep Generative Model
Surface wave Adjoint Travel-time Tomography
Travel time prediction from GPS observations using an HMM
locationallocation: an R package to solve Maximal Coverage Location-Allocation problems using geospatial data
Sampo Vesanen's Master's thesis for the University of Helsinki, Department of Geosciences and Geography.
Cartogram of Swiss Public Transport Travel Time (COM-480)
Source code of "Fully Convolutional Network-Enhanced DeepONet-Based Surrogate of Predicting the Travel-Time Fields."
The travel time comparison application for Sampo Vesanen's University of Helsinki Master's thesis, the shinyapps.io deployment.
ActiveCA: an open data product on active transportation episodes in Canada
The data analysis workflow for the Master's thesis of Sampo Vesanen (University of Helsinki, Department of Geosciences and Geography).
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