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View Code? Open in Web Editor NEWFramework to build linked spatio-temporal data from vectorized evolutionary topographic map archives
Home Page: http://usc-isi-i2.github.io/linked-maps/
License: MIT License
Framework to build linked spatio-temporal data from vectorized evolutionary topographic map archives
Home Page: http://usc-isi-i2.github.io/linked-maps/
License: MIT License
i.e., railway
or water
.
Currently, it is part of the docker image, we need to pull it out and update the image on DockerHub.
The method export_segments_jl_file(..)
(in file main.py
) assumes that the filename of the shapefiles determines the temporal extent of the shapefile edition, the mapping from filename to temporal-coverage should be read from an external file.
Scripts main.py
(via module segment.py
) and linked_maps_to_osm.py
contain a buffer-size parameter that we need to expose as an argument to the scripts
For the 'Automatic Feature Segmentation' step
using DBSCAN as discussed in past
*.shp
, *.shi
to triples over a SPARQL endpoint (*.ttl
deployed over Jena Fuseki).
Data should come from Weiwei Duan.
[email protected]
Currently, it is part of the docker image, we need to pull it out and update the image on DockerHub.
in generate_graph.py
Changes should be generated using manual queries with geonames/OpenStreetMaps.
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