A Review of: “Loose Space: Possibility and Diversity in Urban Life”

Basso, Keith H. Wisdom Sits in Places: Language and Landscape among the Western Apache

Foote, Kenneth E. Shadowed Ground: America's Landscapes of Violence and Tragedy

Harries, Keith and Cheatwood, Derral The Geography of Execution: The Capital Punishment Quagmire in America

Larkham, Peter J. Conservation and the City

James, Preston E. and Martin, Geoffrey J. All Possible Worlds: A History of Geographical Ideas

Meir, Avinoam As Nomadism Ends: The Israeli Bedouin of the Negev

Ruddick, Susan M. Young and Homeless in Hollywood: Mapping Social Identities

Smith, Neil The New Urban Frontier: Gentrification and the Revanchist City     

A Review of: “Urban and Regional Technology Planning: Planning Practice in the Global Knowledge Economy”

Haiti and other developing countries have increasingly turned to emigrant remittances as a potential source of development capital. There is a vigorous debate in the development community about the impacts of remittances, however, with concerns about dependence challenging the optimism about a potential new development engine. Based on interviews with forty-two remittance recipients in Haiti and forty-five corresponding senders in New York State, we find that the remittance economy in Haiti is indeed productive and has the potential to generate employment and other important development benefits. That said, there are important limitations created by broader political–economic conditions and deeply entrenched inequalities.     

A Review of: “Accuracy of Spatial Databases”. Edited by M. Goodchild and S. Gopal. (London: Taylor & Francis, 1989.) [Pp. 290.] Price £35.00.

The integration of multisource heterogeneous spatial data is one of the major challenges for many spatial data users. To facilitate multisource spatial data integration, many initiatives including federated databases, feature manipulation engines (FMEs), ontology-driven data integration and spatial mediators have been proposed. The major aim of these initiatives is to harmonize data sets and establish interoperability between different data sources.

On the contrary, spatial data integration and interoperability is not a pure technical exercise, and there are other nontechnical issues including institutional, policy, legal and social issues involved. Spatial Data Infrastructure (SDI) framework aims to better address the technical and nontechnical issues and facilitate data integration. The SDIs aim to provide a holistic platform for users to interact with spatial data through technical and nontechnical tools.

This article aims to discuss the complexity of the challenges associated with data integration and propose a tool that facilitates data harmonization through the assessment of multisource spatial data sets against many measures. The measures represent harmonization criteria and are defined based on the requirement of the respective jurisdiction. Information on technical and nontechnical characteristics of spatial data sets is extracted to form metadata and actual data. Then the tool evaluates the characteristics against measures and identifies the items of inconsistency. The tool also proposes available manipulation tools or guidelines to overcome inconsistencies among data sets. The tool can assist practitioners and organizations to avoid the time-consuming and costly process of validating data sets for effective data integration.     

Spatial Modelling in Forest Ecology and Management: A Case Study. Edited by M. JANSEN,M. JUDAS and J. SABOROWSKI (Berlin: Springer Verlag, 2002). [Pp. xiii+225]. ISBN 3-540-43357-0. Price €89.95. Hardback

Urban segregation has received increasing attention in the literature due to the negative impacts that it has on urban populations. Indices of urban segregation are useful instruments for understanding the problem as well as for setting up public policies. The usefulness of spatial segregation indices depends on their ability to account for the spatial arrangement of population and to show how segregation varies across the city. This paper proposes global spatial indices of segregation that capture interaction among population groups at different scales. We also decompose the global indices to obtain local spatial indices of segregation, which enable visualization and exploration of segregation patterns. We propose the use of statistical tests to determine the significance of the indices. The proposed indices are illustrated using an artificial dataset and a case study of socio‐economic segregation in São José dos Campos (SP, Brazil).     

A Review of: “Three Dimensional Applications in Geographical Information Systems”. Edited by J. RAPER. (London: Taylor & Francis, 1989.) [Pp. 189.] Price £30·00. ISBN 0850667763.

Studies on the structural properties of road network and its close relationship with the traffic flow distribution have received intensive interdisciplinary attention. However, most of these attempts were theoretical. It is also a challenge to understand the relationship between the structure and morphology of a road network and peoples' movement. We developed a new methodology to deal with this challenge in this study. The first attempt was to apply the ego network analysis (which is rooted in social science) to the formation of hierarchical road networks. Then, the ego network was improved to become weighted ego network by assigning a weight to each of the links in a network. A measure called weighted average centrality rank is developed to define the order of links in a complex network. The ego network and the weighted ego network are both evaluated with a notional network and two sets of real-life road networks. Traffic flow data were used as a benchmark for the evaluation of the two approaches. The results show that they both perform well. But the hierarchies formed by weighted ego network analysis are more consistent with the real-life traffic flow, and the improvement is clearly observable.     

A Review of: “Fractals in Geoscience and Remote Sensing: Proceedings of Joint JRC/EARSel Expert Meeting,Ispra, Italy, 14–15 April 1994. Report EUR 16092 EN,Image Understanding Research Series Vol I. Edited by G. G. Wilkinson,I. Kanellopoulos and J. Megier”

Geographic information systems (GIS) and spatial regression modeling techniques were used to evaluate the spatially prioritized relationships between grave density and various spatial parameters for a total of 5549 grave locations. Solar radiation was the most important predictor of grave density in the Feng‐Shui locations. Similarly, spatial clustering technology identified the fact that high concentrations of grave necessarily accompany the significantly increasing trends of solar radiation. The results of the regression analyses indicate that the grave density could be explained by the four landform parameters alone yielding R ² values of 0.751. In contrast to the typical theory, slope and aspect were not a dominant determining factor upon the dependent variable of grave density. Also, the significantly increasing trends of grave density were not observed in line with a southern direction. A clear verification has been made for the hidden assumptions in Feng‐Shui's long history that its approach is found to be more appropriate in avoiding shadow conditions, rather than exploring the ideal landform location.