This step will make use of GNU parallel to speed up processing time. The python programme parallel_grid.py will read in API keys in order to obtain metadata. The copy will get depleted when running the metadata tasks and must be recopied for each task, subject to cost constraints. Store your API keys in sources/api_keys/ making an original and a copy. Google provides $200 of credit each month for each API key, which is equivalent to 25K images. When requesting metadata, there is no limit to the number of requests which can be made, although there is a a latency limit. In order to make requests to the Google server, we require an API key. Another copy is made called api_keys.csvįile needs to be made using Google Cloude Platform user credentialsĪpi_keys/api_keys.csv and api_keys/api_keys_original.csv Shape file delineating London as an administrative unityĪny road network clipped to that same extent as administrative boundaryĪpi_keys are collected from the Google Cloud Platform and enumerated line by line in a file titled api_keys_original.csv. In addition, Street View API keys will need to be generated, see here. These files will need to be downloaded manually for London or for a chosen target city. Requirements Programĭownloading images Source Files (steps 1-3) The image above shows Greater London Authority area, with road network sampled points (dark green) and downloaded images (light green) for one year.
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