Advances in Spatial Econometrics: Methodology, Tools and Applications (Luc Anselin)  This series of books is dedicated to reporting on recent advances in spatial science. It contains scientific studies focusing on spatial phenomena, utilising theoretical frameworks, analytical methods, and empirical procedures specifically designed for spatial analysis. The series brings together innovative spatial research utilising concepts, perspectives, and methods with a relevance to both basic science and policy making. The aim is to present advances in spatial science to an informed readership ...

Perspectives on Spatial Data Analysis (Luc Anselin)  Spatial data analysis has seen explosive growth in recent years. Both in mainstream statistics and econometrics as well as in many applied ?elds, the attention to space, location, and interaction has become an important feature of scholarly work. The methodsdevelopedto dealwith problemsofspatialpatternrecognition,spatialau- correlation, and spatial heterogeneity have seen greatly increased adoption, in part due to the availability of user friendlydesktopsoftware. Throughhis theoretical and appliedwork,ArthurGetishasbeena majorcontri...

New Directions in Spatial Econometrics (Luc Anselin)  Since Paelinck coined the term ‘spatial econometrics’ in the early 1970s to refer to a set of methods that deal with the explicit treatment of space in multiregional models, the field has come a long way. The early results established in regional economics by Blommestein, Hordijk, Klaassen, Nijkamp, Paelinck and others [e.g., Hordijk and Nijkamp (1977), Hordijk (1979), Paelinck and Klaassen (1979), Blommestein (1983)], as well as the path breaking work of Cliff and Ord in geography [Cliff and Ord (1973, 1981), Ord (197...

Modern Spatial Econometrics in Practice (Luc Anselin)  This book is the definitive user’s guide to the spatial regression functionality in the software packages GeoDa and GeoDaSpace, as well as the spreg module in the PySAL library –-all developed at the GeoDa Center for Geospatial Analysis and Computation. The book provides the techniques to test for and estimate spatial effects in linear regression models, addressing both spatial dependence (spatial autoregressive models) as well as spatial heterogeneity (spatial regimes models). The book also serves as an introduction and ...