https://doi.org/10.7490/f1000research.1114476.1
Poster
NOT PEER REVIEWED
Download
metrics
VIEWS
229
 
downloads
21
CITE
How to cite this poster:
Mancini F, Coghill G and Lusseau D. What can big data do for conservation? Modelling the distribution of wildlife watchers using social media  [version 1; not peer reviewed]. F1000Research 2017, 6:1197 (poster) (https://doi.org/10.7490/f1000research.1114476.1)
NOTE: it is important to ensure the information in square brackets after the title is included in this citation.

What can big data do for conservation? Modelling the distribution of wildlife watchers using social media 

Francesca Mancini1, George Coghill, David Lusseau
Author Affiliations
  • Metrics
  • 229 Views
  • 21 Downloads
 
Part of the collection
Browse by related subjects
Published 23 Jul 2017

What can big data do for conservation? Modelling the distribution of wildlife watchers using social media 

[version 1; not peer reviewed]

Francesca Mancini1, George Coghill, David Lusseau
Author Affiliations
1 University of Aberdeen, UK
Presented at
28th International Congress for Conservation Biology (ICCB 2017)
Abstract
Competing Interests

No competing interests were disclosed

Keywords
Big data, interdisciplinary conservation, recreational ecosystem services
Comments
0 Comments
 
Sign In
If you've forgotten your password, please enter your email address below and we'll send you instructions on how to reset your password.

The email address should be the one you originally registered with F1000.

Email address not valid, please try again

You registered with F1000 via Google, so we cannot reset your password.

To sign in, please click here.

If you still need help with your Google account password, please click here.

You registered with F1000 via Facebook, so we cannot reset your password.

To sign in, please click here.

If you still need help with your Facebook account password, please click here.

Code not correct, please try again
Email us for further assistance.
Server error, please try again.