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Sun, Yeran and Wang, Shaohua and Xie, Jing and Hu, Xuke (2021) Modeling Local-Scale Violent Crime Rate: A Comparison of Eigenvector Spatial Filtering Models and Conventional Spatial Regression Models. Professional Geographer. Taylor & Francis. doi: 10.1080/00330124.2020.1844574. ISSN 0033-0124.
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Official URL: https://doi.org/10.1080/00330124.2020.1844574
| Item URL in elib: | https://elib.dlr.de/145053/ | ||||||||||||||||||||
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| Document Type: | Article | ||||||||||||||||||||
| Title: | Modeling Local-Scale Violent Crime Rate: A Comparison of Eigenvector Spatial Filtering Models and Conventional Spatial Regression Models | ||||||||||||||||||||
| Authors: |
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| Date: | 29 January 2021 | ||||||||||||||||||||
| Journal or Publication Title: | Professional Geographer | ||||||||||||||||||||
| Refereed publication: | Yes | ||||||||||||||||||||
| Open Access: | Yes | ||||||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||||||
| In SCOPUS: | Yes | ||||||||||||||||||||
| In ISI Web of Science: | Yes | ||||||||||||||||||||
| DOI: | 10.1080/00330124.2020.1844574 | ||||||||||||||||||||
| Publisher: | Taylor & Francis | ||||||||||||||||||||
| ISSN: | 0033-0124 | ||||||||||||||||||||
| Status: | Published | ||||||||||||||||||||
| Keywords: | eigenvector spatial filtering; land use mix; spatial regression model; street connectivity; violent crime | ||||||||||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||
| HGF - Program: | Space | ||||||||||||||||||||
| HGF - Program Themes: | Space System Technology | ||||||||||||||||||||
| DLR - Research area: | Raumfahrt | ||||||||||||||||||||
| DLR - Program: | R SY - Space System Technology | ||||||||||||||||||||
| DLR - Research theme (Project): | R - Exploration of citizen science methods, R - QS-Project_04 Big-Data-Plattform | ||||||||||||||||||||
| Location: | Jena | ||||||||||||||||||||
| Institutes and Institutions: | Institute of Data Science > Citizen Science | ||||||||||||||||||||
| Deposited By: | Hu, Xuke | ||||||||||||||||||||
| Deposited On: | 30 Nov 2021 15:56 | ||||||||||||||||||||
| Last Modified: | 13 Jun 2023 14:54 |
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