1I have many individuals and organizations to thank for supporting the toolbox. First, I would
like to gratefully acknowledge the research support received from the National Science …

Statistical methods for spatial data have advanced significantly during the last few decades.
There is a wealth of research, writing, and information on spatial statistics, spatial modeling …

Although interest in spatial regression models has surged in recent years, a comprehensive,
up-to-date text on these approaches does not exist. Filling this void, Introduction to Spatial …

This book is the first in a two-volume series that introduces the field of spatial data science. It
offers an accessible overview of the methodology of exploratory spatial data analysis. It also …

This workbook contains a set of laboratory exercises initally developed for the ICPSR
Summer Program courses on spatial analysis: Introduction to Spatial Data Analysis and …

The November 2002 North American Meetings of the Regional Science Association
International in San Juan, Puerto Rico included five sessions with roughly 20 papers …

Outlines general ideas on fundamental issues related to the distinctive characteristics of
spatial data analysis as opposed to data analysis in general. Focuses on two issues that are …

Recent commentators have drawn attention to what appears to be a “spatial turn” in several
disciplines, including some of the social sciences, driven in part by advances in the …

This resource gives a brief overview of a website and playlist of YouTube videos using open
source software (R, GeoDa, and QGIS) designed to help get scholars up and running with …

The development of specialized software for spatial data analysis has seen rapid growth
since the lack of such tools was lamented in the late 1980s by Haining (1989) and cited as a …