• Accelerating advances in landscape connectivity modelling with the ConScape library 

      Van Moorter, Bram; Kivimäki, Ilkka; Noack, Andreas; Devooght, Robin; Panzacchi, Manuela; Hall, Kimberly R.; Leleux, Pierre; Saerens, Marco (Peer reviewed; Journal article, 2022)
      Increasingly precise spatial data (e.g. high-resolution imagery from remote sensing) allow for improved representations of the landscape network for assessing the combined effects of habitat loss and connectivity declines ...
    • Defining and quantifying effective connectivity of landscapes for species’ movements 

      Van Moorter, Bram; Kivimäki, Illka; Panzacchi, Manuela; Saerens, Marco (Peer reviewed; Journal article, 2021)
      Ecosystem functioning depends on multiple successful interactions, many supported by individual movements. The degree to which the landscape allows these interactions to take place has been referred to as ‘effective ...
    • Maximum likelihood estimation for randomized shortest paths with trajectory data 

      Kivimäki, Ilkka; Van Moorter, Bram; Panzacchi, Manuela; Saramäki, Jari; Saerens, Marco (Journal article, 2020)
      Randomized shortest paths (RSPs) are tool developed in recent years for different graph and network analysis applications, such as modelling movement or flow in networks. In essence, the RSP framework considers the ...