期刊
METHODS IN ECOLOGY AND EVOLUTION
卷 7, 期 10, 页码 1209-1216出版社
WILEY-BLACKWELL
DOI: 10.1111/2041-210X.12571
关键词
data base; data intensive science; data management; django; monitoring; python
类别
资金
- National Science Centre, Poland [2012/07/N/NZ8/02651, 2012/05/B/NZ8/01010]
- Scholarships for PhD students of Podlaskie Voivodeship - European Social Fund
- Polish Government
- Podlaskie Voivodeship
- Polish Ministry of Science and Higher Education [N309137335]
1. Camera trapping is increasingly becoming an important tool in ecological research. However, the organization of large collections of multimedia files and especially efficient searching for subsets of data is a challenging task. While the development of project-specific software solutions is dominating in the camera trapping community, little attention has been paid to more flexible and open-source solutions supporting diverse camera trapping research projects. 2. We used state of the art and well-recognized open source software components and programming language PYTHON to design and implement TRAPPER, a flexible data base driven web application to manage, classify, integrate, share and re-use data in camera trapping projects. 3. Themain features of TRAPPER are: (i) it is fully open-source, (ii) it facilitates analysis of videos as well as images, (iii) it provides spatial filtering and web-mapping, (iv) it allows flexible implementation of specific data collection protocols, (v) it is a multi-user and role based system which facilitates collaborative work on camera trapping projects, (vi) it supports data re-use and (re) discovery. 4. TRAPPER can therefore be widely used by ecologists working with a variety of camera trap studies, alone or in collaboration with each other.
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