Systematic Literature Review on Automated Monument Detectiondoi:10.11588/data/10083heiDATA2017-02-222Raun, Karl H.; Paterson, Duncan, 2017, "Systematic Literature Review on Automated Monument Detection", https://doi.org/10.11588/data/10083, heiDATA, V2Systematic Literature Review on Automated Monument Detectiondoi:10.11588/data/10083Raun, Karl H.Paterson, DuncanRaun, Karl H.Paterson, Duncan2016-08Heidelberg, Germany0.9.13.4heiDATAheiDATA: Heidelberg Research Data RepositoryKarl H. Raun2016-07-272016Arts and HumanitiesThis study measures the state of automated procedures within cultural heritage detection and management by correlating key terms for LiDAR data by citations. To reveal the evolution of the field, we conduct a Systematic Literature Review (SLR) using standardized search structures on publications related to “automated monument detection”. In addition, we highlight emerging best practices through cross-referencing occurrences of “automated procedures”. We analyze these results using the methods of network analysis (NA) with respect to personal and institutional ties, as well as actors involved in automated practice related to the field of cultural heritage. This repository contains the raw results, and enriched network data files from our analaysis.1820201519992015globalPublication Networktime-seriessystematic search querySLR: Web of Science, Scopus NA: Articlesduncan.paterson@asia-europe.uni-heidelberg.dePlease cite according to the above given citation information.Agapiou, A., & V. Lysandrou. 2015. Remote sensing archaeology: Tracking and mapping evolution in European scientific literature from 1999 to 2015. Journal of Archaeological Science, volume 4, p. 192–200.Proceedings of the annual conference on Computer Applications and Quantitative Methods in Archaeology, Oslo, NorwayProceedings of the annual conference on Computer Applications and Quantitative Methods in Archaeology, Oslo, Norwayco-auth_all.svgtext/plain; charset=US-ASCIIco-auth_deg2.svgtext/plain; charset=US-ASCIIco-auth_in.svgtext/plain; charset=US-ASCIIco-auth_out.svgtext/plain; charset=US-ASCIImain_authors.csvtext/plain; charset=US-ASCIImain_stats.csvtext/plain; charset=US-ASCIISLR.gephiapplication/octet-streamSLR_co-auth.gexftext/plain; charset=US-ASCIISLR_co-auth_geo_top40.gexftext/plain; charset=US-ASCIISLR_dyn_co-auth.gexftext/plain; charset=US-ASCII