Spatial eigenvector filtering for spatiotemporal crime mapping and spatial crime analysis

Marco Helbich; Jamal Jokar Arsanjani

doi:10.1080/15230406.2014.893839

Spatial eigenvector filtering for spatiotemporal crime mapping and spatial crime analysis

Research output: Contribution to journal › Journal article › Research › peer-review

Original language	English
Journal	Cartography and Geographic Information Science
Volume	0
Issue number	0
Pages (from-to)	134-148
Number of pages	15
ISSN	1523-0406
DOIs	https://doi.org/10.1080/15230406.2014.893839
Publication status	Published - 1 Mar 2014
Externally published	Yes

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10.1080/15230406.2014.893839

http://www.tandfonline.com/doi/abs/10.1080/15230406.2014.893839

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Cite this

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title = "Spatial eigenvector filtering for spatiotemporal crime mapping and spatial crime analysis",

keywords = "generalized additive model,negative binomial,poisson regression,regression,spatial autocorrelation,spatial fi ltering,spatiotemporal crime mapping",

author = "Marco Helbich and {Jokar Arsanjani}, Jamal",

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doi = "10.1080/15230406.2014.893839",

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AU - Helbich, Marco

AU - Jokar Arsanjani, Jamal

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KW - generalized additive model,negative binomial,poisson regression,regression,spatial autocorrelation,spatial fi ltering,spatiotemporal crime mapping

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DO - 10.1080/15230406.2014.893839

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VL - 0

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JO - Cartography and Geographic Information Science

JF - Cartography and Geographic Information Science

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