ISPRS-Archives The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS-Archives Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 2194-9034 Copernicus Publications Göttingen, Germany 10.5194/isprsarchives-XL-4-W1-147-2013 EXPLORING SCALE EFFECT USING GEOGRAPHICALLY WEIGHTED REGRESSION ON MASS DATASET OF URBAN ROBBERY Yavuz Ö. 1 Tecim V. 2 Department of Geographical Information Systems, The Graduate School of Natural and Applied Sciences, Dokuz Eylul University 35160 Buca Izmir, Turkey Department of Econometrics, Faculty of Economics and Administrative Sciences, Dokuz Eylul University, 35160 Buca Izmir, Turkey 06 05 2013 XL-4/W1 147 154 Copyright: © 2013 Ö. Yavuz 2013 This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/3.0/ This article is available from https://isprs-archives.copernicus.org/articles/XL-4-W1/147/2013/isprs-archives-XL-4-W1-147-2013.html The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XL-4-W1/147/2013/isprs-archives-XL-4-W1-147-2013.pdf

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.