GIS Day / Geography Awareness Week

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Thanks to everyone for making our GIS Research Day so successful!  We look forward to another great event in November 2023. 

 

Date: Thursday, November 17, 2022 

Time: 9 a.m. to 1 p.m. 

Location: Bata Library Room 411 

Everyone Welcome! 

SpeaKer SCHEDULE 

Time Speaker Affiliation Title 
9:00 Library    Coffee & Welcome
9:15 Roshelle Chan Environmental & Life Sciences Automating the characterization of watershed land use across southern Ontario
9:25 Una Jermilova Environmental & Life Sciences Mercury in the Mackenzie River Basin: ArcGIS Mapping to model release via soil erosion and other potential sources
9:40 Dr Roger Picton Trent School of the Environment Using StoryMaps to cultivate a "geographic imagination"
9:55 Dr Nolan Pearce Biology Constructing the 3D distribution of limnological variables within three interconnected lakes in the Kawarthas
10:10 Dr James Conolly Anthropology Archaeology, lake evolution and shoreline history in the Kawartha Lakes
10:30 BREAK     
11:00 Shilah LeFeuvre Environmental & Life Sciences Two Eyed Seeing: Weaving knowledge systems to understand the genetics, distribution and behaviour of Eastern wolves (Canis lycaon) in collaboration with Magnetawan First Nation, Shawanaga FIrst Nation, and Wiikwemkoong Unceded Territory
11:15 Dr Raul Ponce-Hernandez Trent School of the Environment GIS in the age of big data, artificial intelligence, automation and climate change: the leap forward for geomatics
11:35 Lyn Brown Environmental & Life Sciences Using Field Maps to examine foraging habitat quality for a coastal shorebird
11:50 Dr Kaitlyn Fleming Trent School of the Environment Using ArcGIS to determine the effect of land-use on benthic macroinvertebrate community composition
12:05 Kayla Martin Environmental & Life Sciences Mapping wild turkey roosting sites
12:20 Kiefer Thalen Biology, BEMA Addressing citizen science through a priori sample design
12:35 Geoff Andrews MaDGIC (Alumni) Two roads diverged on a map ...
12:50 Justin Barker  MaDGIC Species distribution models: Administrative Boundary centroid occurrences require careful interpretation