Population at risk: using areal interpolation and Twitter messages to create population models for burglaries and robberies

Ourania Kounadi; Alina Ristea; Michael Leitner; Chad Langford

doi:10.1080/15230406.2017.1304243

Population at risk: using areal interpolation and Twitter messages to create population models for burglaries and robberies

Ourania Kounadi (Korresp. Autor*in)
, Alina Ristea
, Michael Leitner
, Chad Langford

Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel › Peer Reviewed

Originalsprache	Englisch
Seiten (von - bis)	205-220
Seitenumfang	16
Fachzeitschrift	Cartography and Geographic Information Science
Jahrgang	45
Ausgabenummer	3
DOIs	https://doi.org/10.1080/15230406.2017.1304243
Publikationsstatus	Veröffentlicht - 4 Mai 2018
Extern publiziert	Ja

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

SDG 16 – Frieden, Gerechtigkeit und starke Institutionen

ÖFOS 2012

507003 Geoinformatik
507001 Angewandte Geographie

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10.1080/15230406.2017.1304243Lizenz: CC BY 4.0

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title = "Population at risk: using areal interpolation and Twitter messages to create population models for burglaries and robberies",

keywords = "Areal interpolation, CRIME, IMPACT, Twitter, population at risk, spatial crime analysis",

author = "Ourania Kounadi and Alina Ristea and Michael Leitner and Chad Langford",

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Population at risk: using areal interpolation and Twitter messages to create population models for burglaries and robberies. / Kounadi, Ourania (Korresp. Autor*in); Ristea, Alina; Leitner, Michael et al.
in: Cartography and Geographic Information Science, Band 45, Nr. 3, 04.05.2018, S. 205-220.

Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel › Peer Reviewed

TY - JOUR

T1 - Population at risk: using areal interpolation and Twitter messages to create population models for burglaries and robberies

AU - Kounadi, Ourania

AU - Ristea, Alina

AU - Leitner, Michael

AU - Langford, Chad

PY - 2018/5/4

Y1 - 2018/5/4

KW - Areal interpolation

KW - CRIME

KW - IMPACT

KW - Twitter

KW - population at risk

KW - spatial crime analysis

UR - https://www.scopus.com/pages/publications/85016511481

U2 - 10.1080/15230406.2017.1304243

DO - 10.1080/15230406.2017.1304243

M3 - Article

SN - 1523-0406

VL - 45

SP - 205

EP - 220

JO - Cartography and Geographic Information Science

JF - Cartography and Geographic Information Science

IS - 3

ER -

Population at risk: using areal interpolation and Twitter messages to create population models for burglaries and robberies

UN SDGs

ÖFOS 2012

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