Data and code for the paper_"A novel connection-point-guided method for updating additive changes in road networks from crowdsourced trajectories"_ submitted to IJGIS.requirements [test with python 3.8.5]:-Numpy >= 1.22.4
-gdal >=3.2.3
-pandas >=1.1.3
requirements [test with C++]:-gdal =2.2.4-geos = 3.6.2
There are two dataset (Wuhan and Beijing), and the corresponding code.Generate the confident changing points by a large distance. (we used arcgis to do it, and see the ".\code\arcgis_process.docx")Generate the changing sub-trajectories by changing_trajectory_extract.py and main.cpp;Generate the connection point by https://github.com/GISerWang/Spatio-temporal-Clustering ;(The repository provides an open source code, and the author of the repository is not affiliated with our IJGIS manuscript.)Genrate the road centerline (see the Wuhan data and Beijing data file), and we calculate the precision and recall, F-value by assessment.py.
-gdal >=3.2.3
-pandas >=1.1.3
requirements [test with C++]:-gdal =2.2.4-geos = 3.6.2
There are two dataset (Wuhan and Beijing), and the corresponding code.Generate the confident changing points by a large distance. (we used arcgis to do it, and see the ".\code\arcgis_process.docx")Generate the changing sub-trajectories by changing_trajectory_extract.py and main.cpp;Generate the connection point by https://github.com/GISerWang/Spatio-temporal-Clustering ;(The repository provides an open source code, and the author of the repository is not affiliated with our IJGIS manuscript.)Genrate the road centerline (see the Wuhan data and Beijing data file), and we calculate the precision and recall, F-value by assessment.py.