EXPLORING SCALE EFFECT USING GEOGRAPHICALLY WEIGHTED REGRESSION ON MASS DATASET OF URBAN ROBBERY

Yavuz O., Tecim V.

29th International Annual Symposium of the Urban-Data-Management-Society (UDMS), London, Kanada, 29 - 31 Mayıs 2013, cilt.40-4-W1, ss.147-154, (Tam Metin Bildiri) identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 40-4-W1
  • Basıldığı Şehir: London
  • Basıldığı Ülke: Kanada
  • Sayfa Sayıları: ss.147-154
  • Anahtar Kelimeler: GIS, Urban, Spatial, Information, Analysis, Exploration, CRIME, TEMPERATURE
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

Urban geographers have been studying to explain factors influencing crime on cases limited by their study areas. Researchers have a common opinion that explanatory variables modelling crime on those cases might be irrelevant for another one. None of the researchers tested significance of these variables with changing scales of the study area. Because their data did not allow them to study with different scales. This research examines the scale effect with various data from a wide range of data sources. Geographically Weighted Regression (GWR) method is used to explain that effect, after organizing data by Geographical Information System (GIS) technologies. Explanatory variables deduced for district scale are different from those for grid scale. Hence, the explanatory variables may change not only for different geographical areas but also for different scales of the same area.