Understanding Water Disputes in Chile by Text and Data Mining tools.
| dc.contributor.author | Herrera, Mauricio | |
| dc.contributor.author | Candia, Cristián | |
| dc.contributor.author | Rivera, Diego | |
| dc.contributor.author | Aitken, Douglas | |
| dc.contributor.author | Brieba, Daniel | |
| dc.contributor.author | Boettiger Philipps, Camila | |
| dc.contributor.author | Guillermo, Donoso | |
| dc.contributor.author | Godoy Faúndez, Alex | |
| dc.date.accessioned | 2020-02-28T16:05:24Z | |
| dc.date.available | 2020-02-28T16:05:24Z | |
| dc.date.issued | 2019 | |
| dc.description | Centro de Investigación en Sustentabilidad y Gestión Estratégica de Recursos, Facultad de Ingeniería. Centro de Investigación en Complejidad Social (CICS), Facultad de Gobierno.Centro de Justicia Constitucional, Facultad de Derecho | |
| dc.description.abstract | This paper provides a multidimensional study based on data and text mining of prosecuted disputes on water rights in Chile, and an analysis of the state’s capacity, particularly of the institutions related to water regulation. This study shows not only a substantial increase of legal disputes regarding water rights over the years (1981- 2014), but also clear patterns in the geographic location of these conflicts, as well as in the types of legal actions, arguments and strategies used in their pursuit. Through a topic analysis, we find a growing diversification over time of the subjects contained in the legal claims, suggesting an increase in structure and complexity. | |
| dc.identifier.citation | Water International, 44:3, 302-320, DOI: 10.1080/02508060.2019.1599774 | |
| dc.identifier.uri | http://hdl.handle.net/11447/3083 | |
| dc.identifier.uri | https://doi.org/10.1080/02508060.2019.1599774 | |
| dc.language.iso | en | |
| dc.publisher | Taylor & Francis | |
| dc.subject | Text mining | |
| dc.subject | Network theory | |
| dc.subject | Geographic analysis | |
| dc.subject | Data mining | |
| dc.subject | Chile | |
| dc.title | Understanding Water Disputes in Chile by Text and Data Mining tools. | |
| dc.type |