Social media data for conservation science: a methodological overview

This repository provides supplementary information for the article Social media data for conservation science: a methodological overview published in Biological Conservation. To cite the article, or any material in this repository, please use the following citation:

Toivonen, T., Heikinheimo, V., Fink, C., Hausmann, A., Hiippala, T., Järv, O., Tenkanen, H., Di Minin, E. (2019). Social media data for conservation science: a methodological overview. Biological Conservation.

Alternatively, you can use the following BibTeX code to import the reference to your bibliographic database.

@article{toivonenetal2019-somecon,
    author = "Tuuli Toivonen and Vuokko Heikinheimo and Christoph Fink and Anna Hausmann and Tuomo Hiippala and Olle J{\"a}rv and Henrikki Tenkanen and Enrico {Di Minin}",
    title = "Social media data for conservation science: a methodological overview",
    year = "2019",
    journal = "Biological Conservation",
    doi = "10.1016/j.biocon.2019.01.023",
    volume = "233",
    pages = "298-315"
    }

This repository documents the example analyses reported in the article. A separate README.md is provided for each example in its respective subdirectory, which describes the software requirements and outlines the steps required to reproduce the results.

BOX 1: ASSESSING NATIONAL PARK VISITORS’ MOVEMENTS – CASE STUDY FROM KRUGER NATIONAL PARK, SOUTH AFRICA
BOX 2: AUTOMATED CONTENT DETECTION FROM SOCIAL MEDIA IMAGES
BOX 3: TEMPORAL VARIATION OF VISITOR ACTIVITIES IN PROTECTED AREAS
BOX 4: ASSESSING PUBLIC SENTIMENT FOR CONSERVATION – CASE PANGOLIN

DigitalGeographyLab/some-conservationscience

Social media data for conservation science: a methodological overview

Contents: