Bird Migration with Visual Avian Navigation & Nest Nidification: The Spatial Linear Geometries Georeferencing Functionality

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dc.contributor.authorBasdekidou, C.en_US
dc.date.accessioned2023-07-14T07:02:36Z
dc.date.available2023-07-14T07:02:36Z
dc.date.issued2022-10
dc.description.abstractProblem: Bird migration (eye): Georeferencing procedure with clues, rules, functionalities, and restrictions, for avian navigation and nest nidification.Literature Knowledge: Computer vision (sensor): Robot self-referencing with the Perspective-n- Point pose estimation technique.Aim: Hypothesis introduction and proving (“The birds also follow the same georeferencing procedure like robots in avian navigation and nest nidification”).Methodology: (a) Reference data, images, and photography acquisition and 4-means layering (eBird dataset, Flickr imagery, CORINE land covering, and Volunteered Geographic Information);(b) Image processing; and (c) GIS spatial overlay analysis.Results: Statistical spatial analysis using data of the GIS overlays (the 4 layers). Correlation matrix (Avian navigation and nest nidification in low-density urban areas as these are affected by spatial linear geometries and land cover types).Conclusion: A statistically satisfactory approach to the introduced hypothesis.Potential Applications: Human spatial cognition and movement behavior; Children’s motor control and coordination.en_US
dc.identifier.affiliationsDepartment of Forest and Natural Environment Sciences, The International Hellenic University, Thessaloniki, Greece.en_US
dc.identifier.citationBasdekidou C.. Bird Migration with Visual Avian Navigation & Nest Nidification: The Spatial Linear Geometries Georeferencing Functionality. Ophthalmology Research: An International Journal. 2022 Oct; 17(4): 30-50en_US
dc.identifier.issn2321–7227
dc.identifier.placeIndiaen_US
dc.identifier.urihttps://imsear.searo.who.int/handle/123456789/218431
dc.languageenen_US
dc.publisherSciencedomain Internationalen_US
dc.relation.issuenumber4en_US
dc.relation.volume17en_US
dc.source.urihttps://doi.org/10.9734/or/2022/v17i4371en_US
dc.subjectBirds visual avian navigationen_US
dc.subjectbirds nest nidificationen_US
dc.subjectspatial linear geometriesen_US
dc.subjectgeoreferencingen_US
dc.subjectGIS spatial overlayen_US
dc.titleBird Migration with Visual Avian Navigation & Nest Nidification: The Spatial Linear Geometries Georeferencing Functionalityen_US
dc.typeJournal Articleen_US
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