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Spatial Data Analysis (spatial + data_analysis)
Selected AbstractsGeoDa: An Introduction to Spatial Data AnalysisGEOGRAPHICAL ANALYSIS, Issue 1 2006Luc Anselin This article presents an overview of GeoDaÔ, a free software program intended to serve as a user-friendly and graphical introduction to spatial analysis for non-geographic information systems (GIS) specialists. It includes functionality ranging from simple mapping to exploratory data analysis, the visualization of global and local spatial autocorrelation, and spatial regression. A key feature of GeoDa is an interactive environment that combines maps with statistical graphics, using the technology of dynamically linked windows. A brief review of the software design is given, as well as some illustrative examples that highlight distinctive features of the program in applications dealing with public health, economic development, real estate analysis, and criminology. [source] Finding Some Needles in the Haystack: Textbook Publishing on the Subjects of GIS and Spatial Data AnalysisTHE CANADIAN GEOGRAPHER/LE GEOGRAPHE CANADIEN, Issue 1 2010RON N. BULIUNG First page of article [source] ESTIMATION AND HYPOTHESIS TESTING FOR NONPARAMETRIC HEDONIC HOUSE PRICE FUNCTIONSJOURNAL OF REGIONAL SCIENCE, Issue 3 2010Daniel P. McMillen ABSTRACT In contrast to the rigid structure of standard parametric hedonic analysis, nonparametric estimators control for misspecified spatial effects while using highly flexible functional forms. Despite these advantages, nonparametric procedures are still not used extensively for spatial data analysis due to perceived difficulties associated with estimation and hypothesis testing. We demonstrate that nonparametric estimation is feasible for large datasets with many independent variables, offering statistical tests of individual covariates and tests of model specification. We show that fixed parameterization of distance to the nearest rapid transit line is a misspecification and that pricing of access to this amenity varies across neighborhoods within Chicago. [source] GIS and spatial data analysis: Converging perspectivesPAPERS IN REGIONAL SCIENCE, Issue 1 2004Michael F. Goodchild GIS; spatial data analysis; spatial modelling; geostatistics; point processes Abstract. This article identifies some of the important developments in GIS and spatial data analysis since the early 1950s. Although GIS and spatial data analysis started out as two more or less separate areas of research and application, they have grown closer together over time. We argue that the two areas meet in the field of geographic information science, with each supporting and adding value to the other. The article starts off providing a critical retrospective of developments over the past 50 years. Subsequently, we reflect on current challenges and speculate about the future. Finally, we comment on the potential for convergence of developments in GIS and spatial data analysis under the rubric of geographic information science (GIScience). [source] Exploratory spatial data analysis of the distribution of regional per capita GDP in Europe, 1980,1995PAPERS IN REGIONAL SCIENCE, Issue 2 2003Julie Le Gallo European Union; exploratory spatial data analysis; regional disparities; spatial autocorrelation; spatial heterogeneity Abstract. The aim of this paper is to study the space-time dynamics of European regional per capital GDP. A sample of 138 European regions over the 1980,1995 period provides clear evidence of global and local spatial autocorrelation as well as spatial heterogeneity in the distribution of regional per capita GDP. The detection of spatial clusters of high and low per capita GDP throughout the period is an indication of the persistence of spatial disparities among European regions. The dynamism of European regions is investigated by exploring the spatial pattern of regional growth. Implications for applied econometric work on the convergence of European regions are then suggested. [source] Measuring the spillover effects: Some Chinese evidence,PAPERS IN REGIONAL SCIENCE, Issue 1 2000Long Gen Ying Chinese space economy; core-periphery analysis; local Moran; spillover effects Abstract. Based on recently developed methods of exploratory spatial data analysis, this article seeks to prove the desired spread effects in the Chinese space economy from a core-periphery perspective. Recently developed methods of exploratory spatial data analysis provide new insights on the spatial pattern of the interaction of Chinese provincial output growth rates over the 1978,1994 period. Findings indicate that the economic spillover effects are most evident at the first order of province contiguity from Guangdong, where the two coastal provinces of Hainan and Guangxi are identified with a significant spread pattern, while non-coastal provinces Hunan and Jiangxi are observed with a strong polarization pattern. A further analysis indicates that the state preferential policies favoring the coastal region are the fundamental force in determining the direction of spread-polarization processes in the Chinese space economy. This finding confirms Friedmann's hypothesis on spatial interaction, namely, that the spread process is a successful diffusion of the core's existing institutions into the periphery. [source] | ||||||||||