TY - JOUR
T1 - Exploration of the spatial pattern of urban residential land use with geographically weighted regression technique: a case study of Nanjing, China
AU - Mingxing, Hu
AU - Jiang, Wu
AU - Xuan, Zhu
PY - 2015
Y1 - 2015
N2 - As the traditional methods and technical means cannot meet the quantitative research needs of the urban land use patterns, quantitative research methods for the urban land use pattern are established via the GIS (geographic information system) technique combined with the related theories and models. Taking the city of Nanjing as an example, a spatial database of urban land use and other environmental and socio-economic data is constructed. A multiple linear regression model is developed to determine the statistically significant factors affecting the residential land use distributions. To explain the spatial variations of urban land use patterns, the geographically weighted regression (GWR) is employed to establish spatial associations between these significant factors and the distribution of urban residential land use. The results demonstrate that the GWR can provide an effective approach to the exploration of the urban land use spatial patterns and also provide useful spatial information for planning residential development and other types of urban land use.
AB - As the traditional methods and technical means cannot meet the quantitative research needs of the urban land use patterns, quantitative research methods for the urban land use pattern are established via the GIS (geographic information system) technique combined with the related theories and models. Taking the city of Nanjing as an example, a spatial database of urban land use and other environmental and socio-economic data is constructed. A multiple linear regression model is developed to determine the statistically significant factors affecting the residential land use distributions. To explain the spatial variations of urban land use patterns, the geographically weighted regression (GWR) is employed to establish spatial associations between these significant factors and the distribution of urban residential land use. The results demonstrate that the GWR can provide an effective approach to the exploration of the urban land use spatial patterns and also provide useful spatial information for planning residential development and other types of urban land use.
KW - Geographically weighted regression
KW - GIS (geographic information system)
KW - Multiple linear regression
KW - Urban residential land use
UR - http://ddxbywb.paperonce.org/oa/DArticle.aspx?type=view&id=201501025
U2 - 10.3969/j.issn.1003-7985.2015.01.025
DO - 10.3969/j.issn.1003-7985.2015.01.025
M3 - Article
VL - 31
SP - 149
EP - 156
JO - Journal of Southeast University (English Edition)
JF - Journal of Southeast University (English Edition)
SN - 1003-7985
IS - 1
ER -