The modifiable areal unit problem in regional economics

There is a very well known fundamental problem in spatial data analysis namely that all results of quantitative methods are potencially influenced by the way of spatial delimitation. This problem is mostly called modifiable areal unit problem (MAUP). However, beside the rich tradition in the empirical spatial data analysis, the effect of MAUP on putting forward and testing a theory and the effect on model-building is an issue rarely investigated. The MAUP creates the need for the investigation of the connection between theories and data and the micro-macro dualism. My paper presents the epistemological background of the problem and gives illustrations of the negative consequences of ignoring them in regional macroeconomics.

Apartment Rent Prediction Using Spatial Modeling

This paper provides a new model to explain local variation in apartment rents by introducing the notion of a spatial process. This model differs from those in the literature by explicitly specifying spatial association between pairs of locations as a function of distance between them. Data on apartment rents for the eight markets are used to illustrate the spatial model. Results indicate signi?cant prediction improvement over traditional hedonic rent models that only include indicator variables to capture spatial effects.

How developing countries can derive value from the principles and practice of geodemographics, and provide fresh solutions to millennium development challenges

Geodemographic segmentation systems are area classifications that use multi-criteria and geo-statistical analytics to group places and people into clusters of similarity. The benefits of these geocomputation techniques have been largely embraced by countries in the developed world where the origins of geodemographics lie. In spite of identified value of segmentation techniques for driving efficacy in policy making in developed societies, numerous developing countries still lack these systems. At the very basic level, some of the reasons for this paucity may appear obvious; however some more pertinent issues like the misunderstanding of the significance of data infrastructure has often been overlooked. In this paper, we provide some background on the antecedents of geodemographics and focus on the challenges and benefits of spatial segmentation as an option for driving evidence-based policy making within developing countries

A Framework for Research on Spatial Analysis Relevant to Geo-Statistical Informations Systems in Europe

The paper emphasises the importance of a research programme focused on developing and making widely available GIS relevant spatial analysis technology. It outlines generic criteria able to discriminate between GIS-relevant and GIS-irrelevant spatial analysis tools and outlines a list of six researchable spatial analysis themes. It is argued that presently there is an opportunity to develop a EU based spatial analysis research programme and then install the technology in the World's GIS. (authors' abstract)Series: Discussion Papers of the Institute for Economic Geography and GIScienc

Geographic Information Systems, Spatial Data Analysis and Spatial Modelling. - Problems and Possibilities -

This article is the position paper for the ESF-GISDATA Specialist Meeting on GIS & Spatial Analysis, Amsterdam, 1-5December1993. The focus here is on the two major themes of the meeting: Spatial Data Analysis and Spatial Modelling. Special emphasis is laid on specific problems and possibilities for interfacing spatial analysis tools (i.e. spatial data analysis techniques and spatial models) and GIS. Both GIS application fields, the environmental sciences and the social sciences, are taken into consideration. (authors' abstract)Series: Discussion Papers of the Institute for Economic Geography and GIScienc

Is There a Relationship Between the Concentration of Same-Sex Couples and Tobacco Retailer Density?

Tobacco use is markedly higher among lesbian, gay, and bisexual populations than heterosexuals. Higher density of tobacco retailers is found in neighborhoods with lower income and more racial/ethnic minorities. Same-sex couples tend to live in similar neighborhoods, but the association of this demographic with tobacco retailer density has not been examined

Geospatial Analysis for Irrigated Land Assessment, Modeling and Mapping

Assessment of irrigated lands by conventional means of survey requires a great deal of time, but the application of geospatial analysis using remote sensing data and GIS techniques minimize time consuming and offer the possibility rapid production of maps and models. This paper gave an overview of the techniques and methods in use at different scales. The presence of salt in the soils and its variation may be because of rise in water table and the difference in elevation in irrigated lands. The combined application of conventional methods with remote sensing and geographical information system techniques in detecting these problems in irrigated lands were examined. Different salinity indexes coupled with ground truthing with the proven results in assessing such problems were also examined thereby depicting indexes as good indicator of soil salinity and water logging, which may influence decision on reclamation of degraded land for proper agricultural land management. Irrigation and drainage managers, planners, farmers, and government agencies for smart agriculture can use models and maps generated through geospatial analysis

Regional Transport and Its Association with Tuberculosis in the Shandong Province of China, 2009-2011

Human mobility has played a major role in the spread of infectious diseases such as tuberculosis (TB) through transportation; however, its pattern and mechanism have remained unclear. This study used transport networks as a proxy for human mobility to generate the spatial process of TB incidence. It examined the association between TB incidence and four types of transport networks at the provincial level: provincial roads, national roads, highways, and railways. Geographical information systems and geospatial analysis were used to examine the spatial distribution of 2217 smear-positive TB cases reported between 2009 and 2011 in the Shandong province. The study involved factors such as population density and elevation difference in conjunction with the types of transport networks to predict the disease occurrence in space. It identified spatial clusters of TB incidence linked not only with transport networks of the regions but also differentiated by elevation. Our research findings provide evidence of targeting populous regions with well-connected transport networks for effective surveillance and control of TB transmission in Shandong.postprin

The association between urban public transport infrastructure and social equity and spatial accessibility within the urban environment: An investigation of Tramlink in London

The pursuit of sustainability has been at the forefront of contemporary planning initiatives. However, most recent research has focused on the environmental and economic aspects of developing sustainable urban environment, whilst largely neglecting the social aspects. Contemporary political thinking in the UK often disregards the potential of the urban infrastructure to improve social equity. The aim of this study was to analyse the impact of transport infrastructure on a variety of social measures, in an empirical and ideologically unbiased fashion, using both quantitative and qualitative methods. We selected “Tramlink” as a case study: a light-rail system in the London Borough of Croydon which began operation in 2000. We used quantitative methods, including advanced spatial statistics, to produce a more detailed analysis of social equity than has been previously published. This acknowledges that determining localised issues can produce more informed and effective policy interventions. Our results demonstrate that the physical properties of transport infrastructure and the non-physical attributes of society, in combination, help to create opportunities for individuals to succeed. We also find that in order to reduce the negative effects of austerity, public money could be more effectively spent if diverted to areas that are most in need which can be highlighted through localised investigations