additive-update.zip

Data and code for the paper_"A novel method for incremental map updates from crowdsourced trajectories: adaptively tracing new road centerlines from connection points based on Hidden Markov Model"_ submitted to IJGIS.requirements [test with python 3.8.5]:-Numpy &gt;= 1.22.4<br>-gdal &gt;=3.2.3<br>-pandas &gt;=1.1.3<br>requirements [test with C++]:-gdal =2.2.4-geos = 3.6.2<br>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.<br><br>