[R Course] Mapping, Spatial Analysis & Econometrics in R

R Courses Data Visualization

Learn a range of spatial skills, including: reading, writing and manipulating geographic data; making static and interactive maps; applying geocomputation to solve real-world problems; and modeling geographic phenomena.

Thierry Warin https://warin.ca/aboutme.html (HEC Montréal and CIRANO (Canada))https://www.hec.ca/en/profs/thierry.warin.html
04-16-2020

Course objectives

This course provides a range of spatial skills, including: reading, writing and manipulating geographic data; making static and interactive maps; applying geocomputation to solve real-world problems; and modeling geographic phenomena.

Course plan

1. Introduction

Understanding the concept of geocomputation.

2. Spatial Analysis

Reading and mapping spatial data in R.

3. Mapping with Leaflet

Create interactive maps with Leaflet.

4. Spatial Econometrics

Focusing on the specification of spatial dependence, on specification tests to detect spatial dependence in regressions models and on basic regression models that incorporate spatial dependence.



ACCESS TO THE COURSE



Citation

For attribution, please cite this work as

Warin (2020, April 16). www.warin.ca: [R Course] Mapping, Spatial Analysis & Econometrics in R. Retrieved from https://warin.ca/posts/rcourse-mapping-spatialanalysis-econometrics/

BibTeX citation

@misc{warin2020[r,
  author = {Warin, Thierry},
  title = {www.warin.ca: [R Course] Mapping, Spatial Analysis & Econometrics in R},
  url = {https://warin.ca/posts/rcourse-mapping-spatialanalysis-econometrics/},
  year = {2020}
}