Seminar Tag

18 Jul Seminar and workshop 26 July 2019: Using FME Software for data integration and analysis

Events, News | admin@gri

The Geospatial Research Institute is pleased to host John Kreft, a Senior Engineer in WSP, United Kingdom. John will present a seminar, followed by a 2-hour introductory workshop on FME software.   Room 263, Ernest Rutherford Building   Networking lunch:  12:30-13:00 Seminar:   13:00-14:00 Workshop:…

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19 Jun GeoHealth Lab Seminar, 25 May 2019: A multidisciplinary perspective on environmental determinants of lifestyle and health

Events, News | admin@gri

Please come along to see Dr. Joreintje Mackenbach-van Es from the Amsterdam UMC present her seminar on the environmental determinants of lifestyle and health. Abstract There is widespread consensus that our environment affects our behaviour and health, but less understanding of how this works. I…

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31 Jan GRISS – 22 February 2019

News | admin@gri Telling yesterday’s stories with today’s geospatial technology Adrian Patchett and Sean Bragg (Te Rūnanga o Ngāi Tahu)   Mō tātou, ā, mō kā uri ā muri ake nei – for us and our children after us   "So we go back to the land, the... READ MORE

12 Nov GRISS – November 30th, 2018 – Trends in Environmental Sampling

News | admin@gri Jennifer Brown, School of Mathematics and Statistics, University of Canterbury Spatially balanced sampling is becoming a popular design for surveys in biological and environmental management. In large scale surveys the use of a spatially balanced design gives some assurance that there will be spatial coverage... READ MORE

11 Oct Towards Real-time Federation of Spatial Data for Hazard Risk Management – Feedback and Follow-up

News | admin@gri Prof. Matt Wilson, Director, Geospatial Research Institute (GRI) Rob Deakin, Manager, Resilience Group, Land Information New Zealand (LINZ) Dealing with natural hazards, whether planning or response, requires an increasing quantity of disparate spatial data. However, increasing data volumes are difficult to manage, particularly when data... READ MORE