Wading through the swamp: filter systems for geospatial data science

Adrian Tear, Richard Healey

Research output: Contribution to conferencePaperpeer-review


Data Scientists write code, understand statistics and derive insights from data. Commonly used technologies include Relational Database Management Systems and Structured Query Language, ‘Big Data’ ecosystems such as Hadoop, R, Java, Python or similar code bases, and; Natural Language Processing software used to text-mine large un-/semi-/structured datasets. Data Scientists must also deploy complex software environments built on (or across) various physical, virtual and/or cloud computing infrastructures. This paper outlines the development of one such system designed to comprehensively analyse >8 million Twitter/Facebook social media posts.
Original languageEnglish
Publication statusPublished - 18 Apr 2017
EventThe GIS Research UK 25th Annual Conference - Manchester, United Kingdom
Duration: 18 Apr 201721 Apr 2017


ConferenceThe GIS Research UK 25th Annual Conference
Abbreviated titleGISRUK2017
Country/TerritoryUnited Kingdom
Internet address


  • data science
  • big data
  • social media
  • text/data-mining
  • analytics


Dive into the research topics of 'Wading through the swamp: filter systems for geospatial data science'. Together they form a unique fingerprint.

Cite this