09-10, 13:30–14:00 (Europe/Bratislava), B320
The goal of this analysis was to compute omnidirectional landscape connectivity for a large study area around Lake Superior in the US. The area is more than 250,000 square km and consists of northern Michigan, Wisconsin and Minnesota. The data inputs were processed using QGIS. The actual 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 connectivity between every possible pair of pixels in the landscape that are valid sources and within the specified radius. It produces several outputs which were processed in QGIS along with the final maps.
The 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 carbon credits as a means to protect important and biodiverse private parcels.
This talk will show the entire process and some results.
In early 2021, Kurt moved from the USA to Denmark and now works for Septima P/S in Copenhagen, Denmark. He has a broad skillset. He is a spatial analyst, cartographer, trainer/teacher and author. In 2022 he published his eighth and ninth books on QGIS: Discover QGIS 3.x - Second Edition and QGIS for Hydrological Applications - Second Edition, both with Locate Press. He is currently working on book #10 Field Data Collection with QGIS and Mergin Maps. In 2015 he became an OsGeo Charter Member. He is also a fellow of the Rewilding Institute and a board member of Wild Arizona.