A Primer for Spatial Econometrics: With Applications in R (Palgrave Texts in Econometrics)

This book aims at meeting the growing demand in the field by introducing the basic spatial econometrics methodologies to a wide variety of researchers. It provides a practical guide that illustrates the potential of spatial econometric modelling, discusses problems and solutions and interprets empirical results.

• Spatial Econometrics: From Cross-Sectional Data to Spatial Panels (SpringerBriefs in Regional Science)
• Spatial Econometrics
• Spatial Statistics and Geostatistics: Theory and Applications for Geographic Information Science and Technology (SAGE Advances in Geographic Information Science and Technology Series)
• An Introduction to R for Spatial Analysis and Mapping
• Deep Learning (Adaptive Computation and Machine Learning series)
• Using R for Introductory Econometrics
• Applied Spatial Data Analysis with R (Use R!)
• Introduction to Spatial Econometrics (Statistics: A Series of Textbooks and Monographs)
• Learning R for Geospatial Analysis
• Modern Spatial Econometrics in Practice: A Guide to GeoDa, GeoDaSpace and PySAL