Corrigendum to “Ecological network analysis on intra-city metabolism of functional urban areas in England and Wales” [Resour. Conserv. Recycl. 138 (2018) 172–182]

2019 ◽  
Vol 145 ◽  
pp. 457
Author(s):  
Ling Min Tan ◽  
Hadi Arbabi ◽  
Qianqian Li ◽  
Yulan Sheng ◽  
Danielle Densley Tingley ◽  
...  
Keyword(s):  
Network Analysis ◽  
Urban Areas ◽  
Ecological Network ◽  
England And Wales ◽  
Ecological Network Analysis

scholarly journals Ecological network analysis on intra-city metabolism of functional urban areas in England and Wales

2018 ◽  
Vol 138 ◽  
pp. 172-182 ◽  
Author(s):  
Ling Min Tan ◽  
Hadi Arbabi ◽  
Qianqian Li ◽  
Yulan Sheng ◽  
Danielle Densley Tingley ◽  
...  
Keyword(s):  
Network Analysis ◽  
Urban Areas ◽  
Ecological Network ◽  
England And Wales ◽  
Ecological Network Analysis

scholarly journals mangal - making ecological network analysis simple

2014 ◽  
Author(s):  
Timothée E Poisot ◽  
Benjamin Baiser ◽  
Jennifer A Dunne ◽  
Sonia Kéfi ◽  
Francois Massol ◽  
...  
Keyword(s):  
Network Analysis ◽  
R Package ◽  
Ecological Networks ◽  
Ecological Interactions ◽  
Ecological Network ◽  
Ecological Data ◽  
Meta Data ◽  
Ecological Network Analysis ◽  
Analysis Process ◽  
Access Data

The study of ecological networks is severely limited by (i) the difficulty to access data, (ii) the lack of a standardized way to link meta-data with interactions, and (iii) the disparity of formats in which ecological networks themselves are represented. To overcome these limitations, we conceived a data specification for ecological networks. We implemented a database respecting this standard, and released a R package ( `rmangal`) allowing users to programmatically access, curate, and deposit data on ecological interactions. In this article, we show how these tools, in conjunctions with other frameworks for the programmatic manipulation of open ecological data, streamlines the analysis process, and improves eplicability and reproducibility of ecological networks studies.

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