@InProceedings{ristea_et_al:LIPIcs.GISCIENCE.2018.56, author = {Ristea, Alina and Kounadi, Ourania and Leitner, Michael}, title = {{Geosocial Media Data as Predictors in a GWR Application to Forecast Crime Hotspots}}, booktitle = {10th International Conference on Geographic Information Science (GIScience 2018)}, pages = {56:1--56:7}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-083-5}, ISSN = {1868-8969}, year = {2018}, volume = {114}, editor = {Winter, Stephan and Griffin, Amy and Sester, Monika}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GISCIENCE.2018.56}, URN = {urn:nbn:de:0030-drops-93845}, doi = {10.4230/LIPIcs.GISCIENCE.2018.56}, annote = {Keywords: spatial crime prediction, street crime, population at risk, geographically weighted regression, geosocial media} }
The metadata provided by Dagstuhl Publishing on its webpages, as well as their export formats (such as XML or BibTeX) available at our website, is released under the CC0 1.0 Public Domain Dedication license. That is, you are free to copy, distribute, use, modify, transform, build upon, and produce derived works from our data, even for commercial purposes, all without asking permission. Of course, we are always happy if you provide a link to us as the source of the data.
Read the full CC0 1.0 legal code for the exact terms that apply: https://creativecommons.org/publicdomain/zero/1.0/legalcode
Feedback for Dagstuhl Publishing