Spatial Data Analysis: Theory and Practice, first published in 2003, provides a broad ranging treatment of the field of spatial data analysis. It begins with an

An introductory overview of spatial analysis and statistics through GIS, including worked examples and critical analysis of results.

In terms of statistics, GIS offers many connections. With GIS, data are gathered, displayed, summarized, examined, and interpreted to discover patterns. Spatial

Geospatial health data are essential to inform public health and policy. These data can be used to quantify disease burden, understand geographic and temporal p

"In an age of big data, data journalism and with a wealth of quantitative information around us, it is not enough for students to be taught only 100 year old st