Spatial Analysis Using Big Data

Chapter Six

Models in quantitative geography

Daisuke Murakami ¹ , and Yoshiki Yamagata ^{2       1} The Institute of Statistical Mathematics, Tachikawa, Tokyo, Japan      ² Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan

Abstract

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.

Keywords

Eigenvector spatial filtering; Geographically weighted regression; Regression; Spatially varying coefficients

1. 6.1 Introduction 
2. 6.2 ...