{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:SNFGDYXKAKI6SHOCNO3K2BML42","short_pith_number":"pith:SNFGDYXK","schema_version":"1.0","canonical_sha256":"934a61e2ea0291e91dc26bb6ad058be6a60634787b7cf94264e7110d172d4f1c","source":{"kind":"arxiv","id":"1810.09624","version":1},"attestation_state":"computed","paper":{"title":"Calendar-based graphics for visualizing people's daily schedules","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.CO"],"primary_cat":"stat.AP","authors_text":"Dianne Cook, Earo Wang, Rob J Hyndman","submitted_at":"2018-10-23T01:35:25Z","abstract_excerpt":"Calendars are broadly used in society to display temporal information, and events. This paper describes a new R package with functionality to organize and display temporal data, collected on sub-daily resolution, into a calendar layout. The function `frame_calendar` uses linear algebra on the date variable to restructure data into a format lending itself to calendar layouts. The user can apply the grammar of graphics to create plots inside each calendar cell, and thus the displays synchronize neatly with ggplot2 graphics. The motivating application is studying pedestrian behavior in Melbourne,"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1810.09624","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-10-23T01:35:25Z","cross_cats_sorted":["stat.CO"],"title_canon_sha256":"e2d3fd727c9bf7684b8c0023314a91a96a3fa0adc362cf6ca55f920465d7d7bc","abstract_canon_sha256":"9c8c3dba3a71b811e7f7976e38c43f1b45fdde4ae3c1c707187f670d89f717d9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:02:37.069697Z","signature_b64":"cEaGc/WxatX93C0ZLuyOMbYaeUSmIngUj9jqzl7/gP8wAhm5s+wH9YE+ulylm+CyIl59ouA+P8sfW0xZMerTBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"934a61e2ea0291e91dc26bb6ad058be6a60634787b7cf94264e7110d172d4f1c","last_reissued_at":"2026-05-18T00:02:37.069167Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:02:37.069167Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Calendar-based graphics for visualizing people's daily schedules","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.CO"],"primary_cat":"stat.AP","authors_text":"Dianne Cook, Earo Wang, Rob J Hyndman","submitted_at":"2018-10-23T01:35:25Z","abstract_excerpt":"Calendars are broadly used in society to display temporal information, and events. This paper describes a new R package with functionality to organize and display temporal data, collected on sub-daily resolution, into a calendar layout. The function `frame_calendar` uses linear algebra on the date variable to restructure data into a format lending itself to calendar layouts. The user can apply the grammar of graphics to create plots inside each calendar cell, and thus the displays synchronize neatly with ggplot2 graphics. The motivating application is studying pedestrian behavior in Melbourne,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.09624","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1810.09624","created_at":"2026-05-18T00:02:37.069257+00:00"},{"alias_kind":"arxiv_version","alias_value":"1810.09624v1","created_at":"2026-05-18T00:02:37.069257+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.09624","created_at":"2026-05-18T00:02:37.069257+00:00"},{"alias_kind":"pith_short_12","alias_value":"SNFGDYXKAKI6","created_at":"2026-05-18T12:32:53.628368+00:00"},{"alias_kind":"pith_short_16","alias_value":"SNFGDYXKAKI6SHOC","created_at":"2026-05-18T12:32:53.628368+00:00"},{"alias_kind":"pith_short_8","alias_value":"SNFGDYXK","created_at":"2026-05-18T12:32:53.628368+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/SNFGDYXKAKI6SHOCNO3K2BML42","json":"https://pith.science/pith/SNFGDYXKAKI6SHOCNO3K2BML42.json","graph_json":"https://pith.science/api/pith-number/SNFGDYXKAKI6SHOCNO3K2BML42/graph.json","events_json":"https://pith.science/api/pith-number/SNFGDYXKAKI6SHOCNO3K2BML42/events.json","paper":"https://pith.science/paper/SNFGDYXK"},"agent_actions":{"view_html":"https://pith.science/pith/SNFGDYXKAKI6SHOCNO3K2BML42","download_json":"https://pith.science/pith/SNFGDYXKAKI6SHOCNO3K2BML42.json","view_paper":"https://pith.science/paper/SNFGDYXK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1810.09624&json=true","fetch_graph":"https://pith.science/api/pith-number/SNFGDYXKAKI6SHOCNO3K2BML42/graph.json","fetch_events":"https://pith.science/api/pith-number/SNFGDYXKAKI6SHOCNO3K2BML42/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/SNFGDYXKAKI6SHOCNO3K2BML42/action/timestamp_anchor","attest_storage":"https://pith.science/pith/SNFGDYXKAKI6SHOCNO3K2BML42/action/storage_attestation","attest_author":"https://pith.science/pith/SNFGDYXKAKI6SHOCNO3K2BML42/action/author_attestation","sign_citation":"https://pith.science/pith/SNFGDYXKAKI6SHOCNO3K2BML42/action/citation_signature","submit_replication":"https://pith.science/pith/SNFGDYXKAKI6SHOCNO3K2BML42/action/replication_record"}},"created_at":"2026-05-18T00:02:37.069257+00:00","updated_at":"2026-05-18T00:02:37.069257+00:00"}