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IDENTIFICATION OF CRIME ENVIRONMENTAL FACTORS BASED ON SPATIAL HUMAN DATA INTEGRATION

IVAN, Igor, Kocich, David, Horak, Jiri

First published: 2016-06-28https://doi.org/10.5593/sgem2016/b21/s08.087View metrics

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Publication details

Title
IDENTIFICATION OF CRIME ENVIRONMENTAL FACTORS BASED ON SPATIAL HUMAN DATA INTEGRATION
Authors
IVAN, Igor, Kocich, David, Horak, Jiri
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 16th International Multidisciplinary Scientific GeoConference SGEM2016, Informatics, Geoinformatics and Remote Sensing
Publisher
Stef92 Technology
Year
2016
Pages
697-704
ISSN
1314-2704
ISBN
978-619-7105-58-2
Language
en
Publication type
Conference Paper
References18
  1. NOVOTNÝ, O., ZAPLETAL, J., 2004, Kriminologie. Praha: ASPI Publishing, p. 451, ISBN 80-7357 -026-2.

  2. de BY, R., 2012, Maps4Science: an initiative towards a national geo-data & - services facility for academia. In Proceedings of AGILE 2012, Avignon.

  3. HRUŠKA-TVRDÝ et al. , 2011, Industriální město v postindustriální společnosti. 4. díl Závěrečná monografie. Ostrava: ACCENDO-Centrum pro vědu a výzkum. ISBN 978-80-904810-3-9.

  4. LOSHIN, D., 2012, Business Intelligence: The Savvy Managers Guide. MORGAN Kaufmann, Newnes, USA, p. 370,.

  5. BACLER, L. H., 2014, EFGS and integration of Geography and Statistics. In Proceedings of EFGS Krakow 22.-24.10.2014.

  6. HORÁK, J., IVAN, I., HORÁKOVÁ, B., 2015, OLAP for heterogeneous socio- economic data – the challenge of integration, analysis and crime prevention: a Czech case study. In Proceedings of European Forum for Geography and Statistics. Vienna, 10–12.11. 2015. h ttp://www.statistik.at/web_de/downloads/efgs2015/efgs2015_papers/9_4_paperJH_OL APCZ_fin.pdf

  7. HORÁK, J., IVAN, I., INSPEKTOR, T., 2016, Spatial data mining to discover factors of spreyer crimes in the Czech Republic. LNGC The Rise of Big Spatial Data (GIS Ostrava 2016).

  8. INSPEKTOR, T., IVAN, I., HORÁK, J. , 2014, Mapping and Monitoring Unemployment Hot Spots towards Identification of Socially Excluded Localities: case study of Ostrava. Journal of Maps, 10/1, pp. 35-46. ISSN 1744-5647.

  9. WANG, Mingjun and GERBER, Matthew S., 2015, Using Twitter for Next-Place Prediction, with an Application to Crime Prediction. In : [online]. IEEE. December 2015. p. 941–948. [Accessed 28 January 2016]. ISBN 978-1-4799-7560-0. Available from: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm arnumber=7376713 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org

  10. NOVOTNÝ, O., ZAPLETAL, J., 2004, Kriminologie. Praha: ASPI Publishing, p. 451, ISBN 80-7357 -026-2.

  11. de BY, R., 2012, Maps4Science: an initiative towards a national geo-data & - services facility for academia. In Proceedings of AGILE 2012, Avignon.

  12. HRUŠKA-TVRDÝ et al. , 2011, Industriální město v postindustriální společnosti. 4. díl Závěrečná monografie. Ostrava: ACCENDO-Centrum pro vědu a výzkum. ISBN 978-80-904810-3-9.

  13. LOSHIN, D., 2012, Business Intelligence: The Savvy Managers Guide. MORGAN Kaufmann, Newnes, USA, p. 370,.

  14. BACLER, L. H., 2014, EFGS and integration of Geography and Statistics. In Proceedings of EFGS Krakow 22.-24.10.2014.

  15. HORÁK, J., IVAN, I., HORÁKOVÁ, B., 2015, OLAP for heterogeneous socio- economic data – the challenge of integration, analysis and crime prevention: a Czech case study. In Proceedings of European Forum for Geography and Statistics. Vienna, 10–12.11. 2015. h ttp://www.statistik.at/web_de/downloads/efgs2015/efgs2015_papers/9_4_paperJH_OL APCZ_fin.pdf

  16. HORÁK, J., IVAN, I., INSPEKTOR, T., 2016, Spatial data mining to discover factors of spreyer crimes in the Czech Republic. LNGC The Rise of Big Spatial Data (GIS Ostrava 2016).

  17. INSPEKTOR, T., IVAN, I., HORÁK, J. , 2014, Mapping and Monitoring Unemployment Hot Spots towards Identification of Socially Excluded Localities: case study of Ostrava. Journal of Maps, 10/1, pp. 35-46. ISSN 1744-5647.

  18. WANG, Mingjun and GERBER, Matthew S., 2015, Using Twitter for Next-Place Prediction, with an Application to Crime Prediction. In : [online]. IEEE. December 2015. p. 941–948. [Accessed 28 January 2016]. ISBN 978-1-4799-7560-0. Available from: http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm arnumber=7376713 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org

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