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UID:pretalx-qgis-uc2024-KUNWTJ@talks.staging.osgeo.org
DTSTART;TZID=CET:20240910T133000
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DESCRIPTION:The goal of this analysis was to compute omnidirectional landsc
 ape connectivity for a large study area around Lake Superior in the US. Th
 e area is more than 250\,000 square km and consists of northern Michigan\,
  Wisconsin and Minnesota. The data inputs were processed using QGIS. The a
 ctual analysis was done using Omniscape.jl which is an open-source program
  designed to compute omnidirectional landscape connectivity using circuit 
 theory and the Omniscape algorithm. The Omniscape algorithm evaluates conn
 ectivity between every possible pair of pixels in the landscape that are v
 alid sources and within the specified radius. It produces several outputs 
 which were processed in QGIS along with the final maps. \nThe end goal of 
 the larger project is to identify important linkages through private lands
  which connect public land parcels. The results will be prioritized using 
 potential carbon data. The end goal is to develop a program leveraging car
 bon credits as a means to protect important and biodiverse private parcels
 . \nThis talk will show the entire process and some results.
DTSTAMP:20260414T160435Z
LOCATION:B320
SUMMARY:Computing Omnidirectional Landscape Connectivity with QGIS and Omni
 scape.jl - Kurt Menke
URL:https://talks.staging.osgeo.org/qgis-uc2024/talk/KUNWTJ/
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