Mapping, Spatial Analysis & Econometrics in R

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://www.nuance-r.com/principalInvestigator.html (SKEMA Business School (Raleigh, NC))https://www.skema-bs.fr/campus/campus-raleigh
04-16-2020

By using SKEMA Quantum Studio framework (Warin 2019), this course will teach you how to mapping, do a spatial analysis & econometrics using R.

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



Warin, Thierry. 2019. “SKEMA Quantum Studio: A Technological Framework for Data Science in Higher Education.” https://doi.org/10.6084/m9.figshare.8204195.v2.

Citation

For attribution, please cite this work as

Warin (2020, April 16). Virtual Campus: Mapping, Spatial Analysis & Econometrics in R. Retrieved from https://virtualcampus.skemagloballab.io/posts/mappingspatialanalysiseconometrics/

BibTeX citation

@misc{warin2020mapping,,
  author = {Warin, Thierry},
  title = {Virtual Campus: Mapping, Spatial Analysis & Econometrics in R},
  url = {https://virtualcampus.skemagloballab.io/posts/mappingspatialanalysiseconometrics/},
  year = {2020}
}