Interactive Techniques and Exploratory Spatial Data Analysis

TL;DR: Racial residential segregation disproportionately places African Americans in more-impoverished neighborhoods in Detroit and consequently reduces access to supermarkets, however, supermarkets have opened or remained open close to middle-income neighborhoods that have transitioned from White to African American.

TL;DR: In this paper, the authors evaluate the importance of methodology in assessing whether or not, or to what degree the distribution of urban public services is equitable, by means of an empirical case study of the spatial distribution of playgrounds.

TL;DR: In this article, the authors study the dynamics of European regional per capita product over time and space by using the recently developed methods of Exploratory Spatial Data Analysis and find strong evidence of global and local spatial autocorrelation in per capita GDP throughout the period.

TL;DR: In this article, the authors proposed a remote sensing-based ecological index (RSEI) to assess the urban ecological quality, which integrated the primary land surface components (i.e., the build-up area and vegetation cover) and the climate (the land surface temperature and land surface moisture) based on the framework of the pressurestate-response (PSR) using a principal components analysis (PCA).

TL;DR: In this article, a typology of Spatial Econometric Models is presented, and the maximum likelihood approach to estimate and test Spatial Process Models is proposed, as well as alternative approaches to Inference in Spatial process models.

TL;DR: In this paper, an Introduction to Applied Geostatistics is presented, with a focus on the application of applied geometrics in the area of geostatistic applications.

TL;DR: In this paper, Krigeage and continuite spatiale were used for interpolation of a variogramme with anisotropic interpolation reference record created on 2005-06-20, modified on 2011-09-01.

TL;DR: The analysis and experiments show that with the assistance of CLAHANS, these two algorithms are very effective and can lead to discoveries that are difficult to find with current spatial data mining algorithms.