VecLI: A framework for calculating vector landscape indices considering landscape fragmentation

Abstract

Currently, raster-based landscape indices (LIs) that measures the landscape pattern of raster-format land-use data, can be easily computed by relevant software (e.g., Fragstats). Unfortunately, open-access software for vector-based LIs often implement a small variety of metrics, which cannot meet the growing demand of the GIS and landscape design research. The common approach often results in a loss of accuracy. Hence, this paper presents the state-of-the-art VecLI framework for computing 217 vector-based LIs. A parcel merging algorithm is proposed to address the impact of landscape fragmentation on vector-based LIs by considering the neighborhood effect. A case study was conduct in Shunde, China. The result shows that 80% of the LIs from VecLI are strongly correlated to Fragstats's LIs. The patch perimeter-related metrics from VecLI portray a more realistic geographical pattern compared to those from Fragstats. Moreover, the VecLI-based software is developed for use by the GIS and landscape design researchers.