The environmental-data automated track annotation (Env-DATA) system: linking animal tracks with environmental data
The movement of animals is strongly influenced by external factors in their surrounding environment such as weather, habitat types, and human land use. With advances in positioning and sensor technologies, it is now possible to capture animal locations at high spatial and temporal granularities. Likewise, scientists have an increasing access to large volumes of environmental data. Environmental data are heterogeneous in source and format, and are usually obtained at different spatiotemporal scales than movement data. Indeed, there remain scientific and technical challenges in developing linkages between the growing collections of animal movement data and the large repositories of heterogeneous remote sensing observations, as well as in the developments of new statistical and computational methods for the analysis of movement in its environmental context. These challenges include retrieval, indexing, efficient storage, data integration, and analytical techniques.
Citation Information
Publication Year | 2013 |
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Title | The environmental-data automated track annotation (Env-DATA) system: linking animal tracks with environmental data |
DOI | 10.1186/2051-3933-1-3 |
Authors | Somayeh Dodge, Gil Bohrer, Rolf P. Weinzierl, Sarah C. Davidson, Roland Kays, David C. Douglas, Sebastian Cruz, J. Han, David Brandes, Martin Wikelski |
Publication Type | Article |
Publication Subtype | Journal Article |
Series Title | Movement Ecology |
Index ID | 70138950 |
Record Source | USGS Publications Warehouse |
USGS Organization | Alaska Science Center Biology MFEB |