Skip to content
@srmss

Spatial Regression Models for the Social Sciences

This site provides supplemental materials for the book "Spatial Regression Models for the Social Sciences" by Guangqing Chi and Jun Zhu (SAGE 2019).

Popular repositories Loading

  1. data_popgrowth data_popgrowth Public

    Data example of population growth used in Chapters 2-7

    1

  2. data_poverty data_poverty Public

    Data example of poverty used in Chapter 8

    1

  3. 40weightmatrices 40weightmatrices Public

    The 40 spatial weight matrices used in the book

    1

  4. SpatialRegPovertyR SpatialRegPovertyR Public

    Forked from guangqingchi/SpatialRegPovertyR

    SpatialRegPovertyR: Data and supplemental tutorial for the research note "Spatial Regression Analysis of Poverty in R (2019)".

    HTML 1 1

  5. strm strm Public

    Forked from guangqingchi/strm

    strm is an R package that fits spatio-temporal regression model based on Chi & Zhu Spatial Regression Models for the Social Sciences (2019). The approach here fits a simultaneous spatial error mode…

    R 1 1

  6. Ch2 Ch2 Public

    Chapter 2

Repositories

Showing 10 of 13 repositories

People

This organization has no public members. You must be a member to see who’s a part of this organization.

Top languages

Loading…

Most used topics

Loading…