Books

As a basis for city planning and architectural design work, a solid understanding of the existing and surrounding urban structures is indispensable. This volume not only explains the possible approaches; it also describes in practical terms how to implement those approaches in the areas analyzed and how to evaluate the data one has collected.

This book stimulates critical thinking and questioning and contains enough planning theory to discuss the function of the planner and the alternative approaches, as well as to provide the background for defining a core set of planning tasks.

This text presents basic concepts and practical material in each of the areas fundamental to modern surveying (geomatics) practice.

This book provides engineers with the necessary information to design sustainable processes, products and value chains.

This title summarises the methods used in species distribution modeling (also called niche modeling) and presents a framework for spatial prediction of species distributions based on the attributes (space, time, scale) of the data and questions being asked.

Quantitative Geography: The Basics is the perfect introduction for undergraduates beginning any quantitative methods course.

This text introduces a nonverbal model to subdisciplines that until now has mostly employed mathematical or verbal-conceptual models. The focus is on how scientific visualization can help revolutionize the manner in which the tendencies for (dis)similar numerical values to cluster together in location on a map are explored and analyzed. In doing so, the concept known as spatial autocorrelation - which characterizes these tendencies - is further demystified.  

Spatial Statistics and Geostatistics is the definitive text on spatial statistics. Its focus is on spatial statistics as a distinct form of statistical analysis and it includes computer components for ArcGIS, R, SAS, and WinBUGS.

This is an introductory textbook on spatial analysis and spatial statistics through GIS. Each chapter presents methods and metrics, explains how to interpret results, and provides worked examples. Topics include: describing and mapping data through exploratory spatial data analysis; analyzing geographic distributions and point patterns; spatial autocorrelation; spatial clustering; geographically weighted regression and OLS regression; and spatial econometrics. The worked examples link theory to practice through a single real-world case study, with software and illustrated guidance. Exercises are solved twice: first through ArcGIS, and then GeoDa. Through a simple methodological framework the book describes the dataset, explores spatial relations and associations, and builds models. Results are critically interpreted, and the advantages and pitfalls of using various spatial analysis methods are discussed. This is a valuable resource for graduate students and researchers analyzing geospatial data through a spatial analysis lens, including those using GIS in the environmental sciences, geography, and social sciences.