New technologies and multilevel data sets that include geographic identifiers have
heightened sociologists' interest in spatial analysis. I review several of the key concepts …

The open source movement has grown steadily and matured in recent years, and this
growth has been mirrored by a rise in open source related research. The objective of this …

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 …

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 …

This chapter describes PySAL, an open source library for spatial analysis written in the
object oriented language Python. PySAL grew out of the software development activities that …

With the proliferation of social indicator databases, the need for powerful techniques to study
patterns of change has grown. In this paper, the utility of spatial data analytical methods …

We determine the spatial pattern of Aedes aegypti and the containers in which they develop
in two neighborhoods of the Amazonian city of Iquitos, Peru. Four variables were examined …

Government agencies and other authorities often communicate earthquake risks using maps
derived from geographic information systems. Yet, little is known about the effects of these …

Since its introduction more than 15 years ago, the GeoDa software for the exploration of
spatial data has transitioned from a closed source Windows‐only solution to an open source …

To implement appropriate and effective disease control programs at the national level, up-to-
date and unbiased information on disease frequency is needed. The aim of this study was to …