Using spatial econometric models, this paper focuses attention on the spatial structure of provincial unemployment disparities of Italian provinces for the year 2003. On the basis of findings from the economic literature and of the available socio-economic data, various model specifications including supplyand demandside variables are tested. Further we use ESDA analysis as equivalent to integr...

This review paper is based on an observation that there exists a ‘generation gap’ between the quantitative and GIS revolutions, even though paradigmatic homology of spatial science is often presumed and cross-fertilization is straightforwardly promised. It is argued that each revolution needs to be edified to establish an integrative, sustainable research framework: SDA needs to become more acc...

Proper analysis of building energy performance requires selecting appropriate models for handling complicated calculations. Machine learning has recently emerged as a promising effective solution solving this problem. The present study proposes novel integrative machine model predicting two parameters residential buildings, namely annual thermal demand (DThE) and weighted average discomfort deg...

This article reports the findings from a localized spatial modeling approach and visual assessment of crime determinants in Flint, Michigan. Factors pertaining to socioeconomic condition, public health, social capital, environmental stress, and neighborhood context were analyzed spatially and statistically using exploratory data analysis, exploratory spatial data analysis (ESDA), ordinary least...

A consistent theme in recent work on developing exploratory spatial data analysis (ESDA) has been the importance attached to visualization techniques, particularly following the pioneering development of packages such as SPIDER and REGARD (Haslett et al 1990). The focus on visual techniques is often justified in two ways: (a) the power of modern graphical interfaces means that graphics is no lo...

BACKGROUND Area-level variation in treatment and outcomes may be a potential source of confounding bias in observational comparative effectiveness studies. This paper demonstrates how to use exploratory spatial data analysis (ESDA) and spatial statistical methods to investigate and control for these potential biases. The case presented compares the effectiveness of two antipsychotic treatment s...

5 5 Na Na Nati ti tion on onal al al H H Hea ea eart rt rt, , Lu Lu Lung ng ng a a and nd nd B B Blo lo lood od od I I Ins ns nsti ti titu tu tute te te, , Be Be Beth th thes es esda da da, , MD MD MD Abstract Background—Patients with heart failure (HF) who live in rural areas have less access to cardiac

The coupled space-time attributes of economic phenomena at various scales are difficult to represent and examine. This paper aims to develop a framework that can be used to systematically generate research questions regarding patterns, trends, interactions, and relationships in space-time data, using economic growth data as an example. A taxonomy of methods is then suggested. The cross-fertiliz...