TY - CHAP
T1 - Models in quantitative geography
AU - Murakami, Daisuke
AU - Yamagata, Yoshiki
N1 - Publisher Copyright:
© 2020 Elsevier Inc. All rights reserved..
PY - 2019/11/2
Y1 - 2019/11/2
N2 - This chapter introduces approaches in quantitative geography. After the introduction in Section 6.1, Sections 6.2 and 6.3 explain the geographically weighted regression and the spatial filtering approaches, respectively. Section 6.4 describes extensions of these approaches for large spatial dataset.
AB - This chapter introduces approaches in quantitative geography. After the introduction in Section 6.1, Sections 6.2 and 6.3 explain the geographically weighted regression and the spatial filtering approaches, respectively. Section 6.4 describes extensions of these approaches for large spatial dataset.
KW - Eigenvector spatial filtering
KW - Geographically weighted regression
KW - Regression
KW - Spatially varying coefficients
UR - http://www.scopus.com/inward/record.url?scp=85094110761&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85094110761&partnerID=8YFLogxK
U2 - 10.1016/B978-0-12-813127-5.00006-0
DO - 10.1016/B978-0-12-813127-5.00006-0
M3 - Chapter
AN - SCOPUS:85094110761
SN - 9780128131275
SP - 159
EP - 178
BT - Spatial Analysis Using Big Data
PB - Elsevier
ER -