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Python Source Code - 4.1 KB - MD5: 72b72d0ab2a7146fb5f5253a8b749dc7
Python Source Code - 9.1 KB - MD5: 3f4fcdd6e518d87bfae5aa9002801fd9
Jupyter Notebook - 310.2 KB - MD5: 8dd3d88988356ed97f52a42d7410e0f3
Tabular Data - 97 B - 2 Variables, 8 Observations - UNF:6:i+YB7Rre5h9cv3VjPNxfew==
This is a lookup file that defines the different activity type identifiers (integer) supported in our v.2.4.0 and v2.5.0 synthetic populations, along with the activity type verbiage so that when looking at location assignments or the population network, it is clear what activity the person is doing at that time.
XZ Archive - 458.8 MB - MD5: 93ec96cb8d30df5ddcb02220027162c3
ca_activity_assignment_day.csv.xz contains the activity sequences for the synthetic people in the synthetic representation of California. This does not contain the locations where these activities are performed -- ca_location_assignment_day.csv.xz has the mapping of activities to locations.
XZ Archive - 8.8 MB - MD5: 26f983c2674033be8e60e40dfdb39369
ca_activity_locations.csv.xz is a list of activity locations (e.g. places where people go outside of home) in our synthetic representation of California.
XZ Archive - 124.9 MB - MD5: 6e2c0d5b681d7ee4be84bdebe49a318a
ca_household.csv.xz contains a list of households in our synthetic representation of California; the households are associated with synthetic people (to create families, for example) and with residence locations.
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