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This paper deals with the extension of internet-based geographic information systems with functionality for exploratory spatial data analysis (esda). The specific focus is on methods to identify and visualize outliers in maps for rates or proportions. Three sets of methods are included: extreme...
Persistent link: https://www.econbiz.de/10010867955
In this note, we compare three test statistics that have been suggested to assess the presence of spatial error autocorrelation in probit models. We highlight the differences between the tests proposed by Pinkse and Slade (J Econom 85(1):125–254, <CitationRef CitationID="CR13">1998</CitationRef>), Pinkse (Asymptotics of the Moran test...</citationref>
Persistent link: https://www.econbiz.de/10010995254
This paper reviews a number of conceptual issues pertaining to the implementation of an explicit "spatial" perspective in applied econometrics. It provides an overview of the motivation for including spatial effects in regression models, both from a theory-driven as well as from a data-driven...
Persistent link: https://www.econbiz.de/10011069267
type="main" xml:lang="es" <title type="main">Resumen</title> <p>En este artículo investigamos las propiedades de muestra finitas del estadístico de la prueba I de Moran para la autocorrelación espacial en modelos tobit como los sugeridos por Kelejian y Prucha. Con esto llenamos un vacío en la literatura teórica mediante...</p>
Persistent link: https://www.econbiz.de/10011085936
Andy Isserman left a lasting impact on the fields of Regional Science and Planning. This special issue is dedicated to his memory. In addition to summarizing its contents, in this article I also reflect on Andy’s particular view of Regional Science as a field, expressed in many of his...
Persistent link: https://www.econbiz.de/10011139352
Persistent link: https://www.econbiz.de/10011037755
Change and movement across space and over time are observed in our everyday lives, with people commuting, traveling, communicating, moving, migrating, etc. Understanding how and why such change occurs is important for various reasons, including management of resources, planning for service...
Persistent link: https://www.econbiz.de/10010593372
PySAL is an open source library for spatial analysis written in the object-oriented language Python. It is built upon shared functionality in two exploratory spatial data analysis packages--GeoDA and STARS--and is intended to leverage the shared development of these components. This paper...
Persistent link: https://www.econbiz.de/10010547786
This essay assesses the evolution of the way in which spatial data analytical methods have been incorporated into software tools over the past two decades. It is part retrospective and prospective, going beyond a historical review to outline some ideas about important factors that drove the...
Persistent link: https://www.econbiz.de/10010553106
Persistent link: https://www.econbiz.de/10010578486