{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,5,31]],"date-time":"2024-05-31T00:29:35Z","timestamp":1717115375792},"reference-count":0,"publisher":"Copernicus GmbH","license":[{"start":{"date-parts":[[2024,5,30]],"date-time":"2024-05-30T00:00:00Z","timestamp":1717027200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["AGILE GIScience Ser."],"abstract":"<jats:p>Abstract. Bees can communicate the location of interesting resources to forage to their nestmates by performing what we call a waggle dance. Being able to precisely decode the information conveyed with waggle dances would help biologists, ecologists, beekeepers, and even decision-makers to limit the current decline of bees. The challenge addressed in this paper is to find the best way to model in a spatial database the directions given by the waggle dance, and the best way to visualize them.We propose first a method to collect the direction information in a video from an observation hive. Then, we propose three methods to model the uncertain locations indicated by the waggle dance, using a kind of box-plot geometry, clustering and heatmaps. An experiment to find the resources from our maps on the field shows that the heatmap representation is the most promising.\n                    <\/jats:p>","DOI":"10.5194\/agile-giss-5-24-2024","type":"journal-article","created":{"date-parts":[[2024,5,30]],"date-time":"2024-05-30T12:20:32Z","timestamp":1717071632000},"page":"1-7","source":"Crossref","is-referenced-by-count":0,"title":["Geolocating Bees by Translating the Waggle Dance Into Spatial Coordinates"],"prefix":"10.5194","volume":"5","author":[{"given":"Sylvain","family":"Galopin","sequence":"first","affiliation":[]},{"given":"Freddie-Jeanne","family":"Richard","sequence":"additional","affiliation":[]},{"given":"Guillaume","family":"Touya","sequence":"additional","affiliation":[]}],"member":"3145","published-online":{"date-parts":[[2024,5,30]]},"container-title":["AGILE: GIScience Series"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/agile-giss.copernicus.org\/articles\/5\/24\/2024\/agile-giss-5-24-2024.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,30]],"date-time":"2024-05-30T12:20:33Z","timestamp":1717071633000},"score":1,"resource":{"primary":{"URL":"https:\/\/agile-giss.copernicus.org\/articles\/5\/24\/2024\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,30]]},"references-count":0,"URL":"https:\/\/doi.org\/10.5194\/agile-giss-5-24-2024","relation":{},"ISSN":["2700-8150"],"issn-type":[{"value":"2700-8150","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5,30]]}}}