Spatial data analysis with R: wrangling, visualizationand econometric models

Spatial Analysis with R: wrangling, visualization and econometric models (Anlisis Espacial con R: manejo, visualizacin y modelos economtricos) is a full open course in Spanish for the analysis of spatial information in R software.The course is intended for Spanishspeaking economics undergraduate students interested in acquiring technical skills for quantitative analysis required by the regional sciences (Fischer & Nijkamp, 2014) and the spatial approach to economics (Fujita et al., 2000), but it could be useful for other students of social sciences attracted by the topic.The objective of the book is to guide the student, from a basic practical approach, in the knowledge and handling of spatial information exploration, analysis and modeling techniques through the use of R (R Core Team, 2021) and RStudio, which are, respectively, a program computer science and programming language focused on statistical analysis and information visualization, on the one hand, and an integrated development environment (IDE), on the other.

Authors

Publication Details

Journal
Journal of Open Source Education
Published
2024-10-10
DOI
https://doi.org/10.21105/jose.00173
Primary Topic
Spatial and Panel Data Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Spatial data analysis with R: wrangling, visualizationand econometric models

Jaime A. Prudencio‐Vázquez
Journal of Open Source Education
Spatial and Panel Data Analysis
article

Spatial data analysis with R: wrangling, visualizationand econometric models

Jaime A. Prudencio‐Vázquez
article en

Abstract

Spatial Analysis with R: wrangling, visualization and econometric models (Anlisis Espacial con R: manejo, visualizacin y modelos economtricos) is a full open course in Spanish for the analysis of spatial information in R software.The course is intended for Spanishspeaking economics undergraduate students interested in acquiring technical skills for quantitative analysis required by the regional sciences (Fischer & Nijkamp, 2014) and the spatial approach to economics (Fujita et al., 2000), but it could be useful for other students of social sciences attracted by the topic.The objective of the book is to guide the student, from a basic practical approach, in the knowledge and handling of spatial information exploration, analysis and modeling techniques through the use of R (R Core Team, 2021) and RStudio, which are, respectively, a program computer science and programming language focused on statistical analysis and information visualization, on the one hand, and an integrated development environment (IDE), on the other.

Journal of Open Source EducationVol. 7(80)
Openalex Percentile: Top 78%
Spatial and Panel Data Analysis
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