{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T01:05:14Z","timestamp":1755219914424,"version":"3.43.0"},"reference-count":14,"publisher":"Association for Computing Machinery (ACM)","issue":"1","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["SIGSPATIAL Special"],"published-print":{"date-parts":[[2025,7]]},"abstract":"<jats:p>The task of anomaly detection in geospatial data is to find data points in space and time that deviate so much from other observations as to arouse suspicion that it was generated by a different mechanism. Most of the existing work in geospatial data analysis relies on supervised machine learning, which involves training models on labeled datasets, allowing them to learn and make accurate predictions. Anomalies, by definition, are rare events that occur infrequently and unpredictably. As a result, labeled datasets for these events are either non-existent or extremely limited. Consequently, anomaly detection research calls for new strategies that can identify rare and unexpected events based on patterns and distributions within the data itself in an unsupervised fashion. These anomalies may manifest as unexpected changes in environmental conditions, natural disasters, unusual human activities, or irregular patterns in spatiotemporal distributions. To answer this call, we organized the 1st ACM SIGSPATIAL International Workshop on Geospatial Anomaly Detection (GeoAnomalies'24) at SIGSPATIAL'24. In this Newsletter Article, we report our first findings and map future research directions.<\/jats:p>","DOI":"10.1145\/3757932.3757935","type":"journal-article","created":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T14:49:27Z","timestamp":1754578167000},"page":"9-15","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["GeoAnomaly Detection: Towards finding Needles of Anomalous Behavior in a Haystack of Geospatial Data"],"prefix":"10.1145","volume":"15","author":[{"given":"Yao-Yi","family":"Chiang","sequence":"first","affiliation":[{"name":"University of Minnesota, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joon-Seok","family":"Kim","sequence":"additional","affiliation":[{"name":"Emory University, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cory","family":"Krause","sequence":"additional","affiliation":[{"name":"Intelligence Advanced Research Projects Activity, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Enrico","family":"Mattei","sequence":"additional","affiliation":[{"name":"Expedition Technology, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Khurram","family":"Shafique","sequence":"additional","affiliation":[{"name":"Novateur Research Solutions, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carola","family":"Wenk","sequence":"additional","affiliation":[{"name":"Tulane University, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andreas","family":"Z\u00fcfle","sequence":"additional","affiliation":[{"name":"Emory University, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,8,7]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3681765.3698459"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3681765.3698450"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3681765.3698457"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3681765.3698466"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3681765.3698454"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3681765.3698452"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3681765.3698465"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3681765.3698464"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3681765.3698463"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3681765.3698449"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3681765.3698455"},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/1869790.1869807"},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3681765.3698467"},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/1409635.1409677"}],"container-title":["SIGSPATIAL Special"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3757932.3757935","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T14:49:28Z","timestamp":1754578168000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3757932.3757935"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7]]},"references-count":14,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025,7]]}},"alternative-id":["10.1145\/3757932.3757935"],"URL":"https:\/\/doi.org\/10.1145\/3757932.3757935","relation":{},"ISSN":["1946-7729"],"issn-type":[{"value":"1946-7729","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7]]},"assertion":[{"value":"2025-08-07","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}