{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:2ORRN4JSICEGAC3XACZERVE4AX","short_pith_number":"pith:2ORRN4JS","schema_version":"1.0","canonical_sha256":"d3a316f1324088600b7700b248d49c05d1b246e624e3d2d4de7b3454f1b24641","source":{"kind":"arxiv","id":"1908.00580","version":2},"attestation_state":"computed","paper":{"title":"Evaluating an Immersive Space-Time Cube Geovisualization for Intuitive Trajectory Data Exploration","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.HC","authors_text":"Jorge A. Wagner Filho, Luciana Nedel, Wolfgang Stuerzlinger","submitted_at":"2019-08-01T18:59:21Z","abstract_excerpt":"A Space-Time Cube enables analysts to clearly observe spatio-temporal features in movement trajectory datasets in geovisualization. However, its general usability is impacted by a lack of depth cues, a reported steep learning curve, and the requirement for efficient 3D navigation. In this work, we investigate a Space-Time Cube in the Immersive Analytics domain. Based on a review of previous work and selecting an appropriate exploration metaphor, we built a prototype environment where the cube is coupled to a virtual representation of the analyst's real desk, and zooming and panning in space an"},"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":"1908.00580","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2019-08-01T18:59:21Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"1b5e6f9c1109231b635479f363f8c19fc432d653aa5cc70550b97be6a7c2f935","abstract_canon_sha256":"859b56594cc422fc1a5f1b1615e8cc7da861d19e6ff0a0ddf53998b28238280d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:10:54.114080Z","signature_b64":"FCCfWQoaQkfi2N3GbHIODZ1w1kR85gRqE7TWQt47pBrnPGTBVsM1WD7fHGTfcRKwInqo+XQtLOL7H8LgO9KqBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d3a316f1324088600b7700b248d49c05d1b246e624e3d2d4de7b3454f1b24641","last_reissued_at":"2026-07-05T00:10:54.113617Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:10:54.113617Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Evaluating an Immersive Space-Time Cube Geovisualization for Intuitive Trajectory Data Exploration","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.HC","authors_text":"Jorge A. Wagner Filho, Luciana Nedel, Wolfgang Stuerzlinger","submitted_at":"2019-08-01T18:59:21Z","abstract_excerpt":"A Space-Time Cube enables analysts to clearly observe spatio-temporal features in movement trajectory datasets in geovisualization. However, its general usability is impacted by a lack of depth cues, a reported steep learning curve, and the requirement for efficient 3D navigation. In this work, we investigate a Space-Time Cube in the Immersive Analytics domain. Based on a review of previous work and selecting an appropriate exploration metaphor, we built a prototype environment where the cube is coupled to a virtual representation of the analyst's real desk, and zooming and panning in space an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.00580","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1908.00580/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"1908.00580","created_at":"2026-07-05T00:10:54.113674+00:00"},{"alias_kind":"arxiv_version","alias_value":"1908.00580v2","created_at":"2026-07-05T00:10:54.113674+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.00580","created_at":"2026-07-05T00:10:54.113674+00:00"},{"alias_kind":"pith_short_12","alias_value":"2ORRN4JSICEG","created_at":"2026-07-05T00:10:54.113674+00:00"},{"alias_kind":"pith_short_16","alias_value":"2ORRN4JSICEGAC3X","created_at":"2026-07-05T00:10:54.113674+00:00"},{"alias_kind":"pith_short_8","alias_value":"2ORRN4JS","created_at":"2026-07-05T00:10:54.113674+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/2ORRN4JSICEGAC3XACZERVE4AX","json":"https://pith.science/pith/2ORRN4JSICEGAC3XACZERVE4AX.json","graph_json":"https://pith.science/api/pith-number/2ORRN4JSICEGAC3XACZERVE4AX/graph.json","events_json":"https://pith.science/api/pith-number/2ORRN4JSICEGAC3XACZERVE4AX/events.json","paper":"https://pith.science/paper/2ORRN4JS"},"agent_actions":{"view_html":"https://pith.science/pith/2ORRN4JSICEGAC3XACZERVE4AX","download_json":"https://pith.science/pith/2ORRN4JSICEGAC3XACZERVE4AX.json","view_paper":"https://pith.science/paper/2ORRN4JS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1908.00580&json=true","fetch_graph":"https://pith.science/api/pith-number/2ORRN4JSICEGAC3XACZERVE4AX/graph.json","fetch_events":"https://pith.science/api/pith-number/2ORRN4JSICEGAC3XACZERVE4AX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2ORRN4JSICEGAC3XACZERVE4AX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2ORRN4JSICEGAC3XACZERVE4AX/action/storage_attestation","attest_author":"https://pith.science/pith/2ORRN4JSICEGAC3XACZERVE4AX/action/author_attestation","sign_citation":"https://pith.science/pith/2ORRN4JSICEGAC3XACZERVE4AX/action/citation_signature","submit_replication":"https://pith.science/pith/2ORRN4JSICEGAC3XACZERVE4AX/action/replication_record"}},"created_at":"2026-07-05T00:10:54.113674+00:00","updated_at":"2026-07-05T00:10:54.113674+00:00"}