Bird Migration with Visual Avian Navigation & Nest Nidification: The Spatial Linear Geometries Georeferencing Functionality
Article
| IMSEAR
| ID: sea-218431
ABSTRACT
Problem:
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.
Full text:
Available
Index:
IMSEAR (South-East Asia)
Year:
2022
Type:
Article
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