1. ABOUT THE DATASET -------------------- Title: Supplementary material for ‘Location retrieval using qualitative place signatures of visible landmarks’ Creators: Lijun Wei[a], Valerie Gouet-Brunet[b], and Anthony G Cohn[a,c,d] Organisation(s): [a] School of Computing, University of Leeds, UK; [b] LaSTIG, IGN-ENSG, University Gustave Eiffel, France; [c] Department of Computer Science and Technology, Tongji University, Shanghai, China; [d] The Alan Turing Institute, UK. Rights-holder(s):Unless otherwise stated, Copyright 2023 University of Leeds Publication Year: 2024 Description: This document provides the supplementary material to the manuscript ‘Location retrieval using qualitative place signatures of visible landmarks’ published in the to the ’International Journal of Geographical Information Science’. It should be read in conjunction with the main manuscript. It contains: A. Links to websites and datasets mentioned in the main text B. An illustration of the method proposed by Schlieder, (1993) C. An algorithm to remove the visibility area occluded by buildings D. A way to determin the effect of the uncertainty of perception on landmarks and spatial relations E. A way to determine the impact of the uncertainty of landmark location Cite as: Lijun Wei[a], Valerie Gouet-Brunet[b], and Anthony G Cohn (2024): Supplementary material for ‘Location retrieval using qualitative place signatures of visible landmarks. University of Leeds. [Dataset] https://doi.org/10.5518/1506 Contact: Lijun Wei lweidatapaper@gmail.com 2. TERMS OF USE --------------- Copyright 2024 University of Leeds. Unless otherwise stated, this dataset is licensed under a Creative Commons Attribution 4.0 International Licence: https://creativecommons.org/licenses/by/4.0/. 3. PROJECT AND FUNDING INFORMATION ---------------------------------- This project was partially supported by the Economic and Social Research Council (ESRC) under grant ES/W003473/1. Title: Understanding Space and Time in Narratives Dates: 1st April 2023 to 30/6/2026 Funding organisation: The Economic and Social Research Council (ESRC)