APA (7th ed.) Citation

Hamilton, S. E., Talbot, J., & Flint, C. (2018). The use of open source GIS algorithms, big geographic data, and cluster computing techniques to compile a geospatial database that can be used to evaluate upstream bathing and sanitation behaviours on downstream health outcomes in Indonesia, 2000–2008. International journal of health geographics, 17(1), 44-11. https://doi.org/10.1186/s12942-018-0164-6

Chicago Style (17th ed.) Citation

Hamilton, Stuart E., John Talbot, and Carl Flint. "The Use of Open Source GIS Algorithms, Big Geographic Data, and Cluster Computing Techniques to Compile a Geospatial Database That Can Be Used to Evaluate Upstream Bathing and Sanitation Behaviours on Downstream Health Outcomes in Indonesia, 2000–2008." International Journal of Health Geographics 17, no. 1 (2018): 44-11. https://doi.org/10.1186/s12942-018-0164-6.

MLA (9th ed.) Citation

Hamilton, Stuart E., et al. "The Use of Open Source GIS Algorithms, Big Geographic Data, and Cluster Computing Techniques to Compile a Geospatial Database That Can Be Used to Evaluate Upstream Bathing and Sanitation Behaviours on Downstream Health Outcomes in Indonesia, 2000–2008." International Journal of Health Geographics, vol. 17, no. 1, 2018, pp. 44-11, https://doi.org/10.1186/s12942-018-0164-6.