Assessing the Cluster Correspondence between Paired Point Locations

Some complex geographic events are associated with multiple point locations. Such events include, but are not limited to, those describing linkages between and among places. The term multi‐location event is used in the paper to refer to these geographical phenomena. Through formalization of the multi‐location event problem, this paper situates the analysis of multi‐location events within the broad context of point pattern analysis techniques. Two alternative approaches (Vector autocorrelation analysis and cluster correspondence analysis) to the spatial dependence of paired‐location events (i.e., two‐location events) are explored, with a discussion of their appropriateness to general multi‐location event problems. The research proposes a framework of cluster correspondence analysis for the detection of local non‐stationarities in the spatial process generating multi‐location events. A new algorithm for local analysis of cluster correspondence is proposed. It is implemented on a large‐scale dataset of vehicle theft and recovery location pairs in Buffalo, New York.     

GROWTH AND FLUCTUATIONS OF INDUSTRIAL PRODUCTION IN THE OECD, 1964–1984

Time series for industrial production covering the period 1964 to 1984 for 16 countries of the oecd are analyzed in order to measure the trends in production and to study the diffusion patterns of cyclical fluctuations within the system. The dramatic growth at the beginning of the period is unequally distributed, favouring industrializing countries, such as Greece and Spain, as well as Japan, which joins the ranks of oecd leading nations during this period. Along with Germany, Japan becomes a key indicator of the system as a whole, its short term performance being highly correlated with most countries of the oecd, whereas that of the U.S.A. becomes quasi-isolated .
On a analysé les séries chronologiques de la production industrielle pour la péride 1964 à 1984 pour seize pays de l'ocde afin d'évaluer les tendances, et étudier la structure des variations cycliques au sein du système. La croissance vertigineuse au début de période s'avère inégalement distribuée, favorisant les pays en voie d'in-dustrialisation tels que la Grèce et l'Espagne ainsi que le Japon qui rejoint alors le rang des pays les plus impor-tants. C'est d'ailleurs le Japon qui constitue avec l'Alle-magne l'indicateur clé pour tous les pays de l'ocde, sa performance à court terme reflétant sensiblement la situation de l'ocde dans son ensemble, alors que celle des Etats-Unis apparat isolée .     

Spatial Autocorrelation Statistics of Areal Prevalence Rates under High Uncertainty in Denominator Data

We propose a new estimator of spatial autocorrelation of areal incidence or prevalence rates in small areas, such as crime and health indicators, for correcting spatially heterogeneous sampling errors in denominator data. The approach is dubbed the heteroscedasticity‐consistent empirical Bayes (HC‐EB) method. As American Community Survey (ACS) data have been released to the public for small census geographies, small‐area estimates now form the demographic landscape of neighborhoods. Meanwhile, there is growing awareness of the diminished statistical validity of global and local Moran’s I when such small‐area estimates are used in denominator data. Using teen birth rates by census tracts in Mecklenburg County, North Carolina, we present comparisons of conventional and new HC‐EB estimates of Global and Local Moran’s I statistics created on ACS data, along with estimates on ground truth values from the 2010 decennial census. Results show that the new adjustment method dramatically enhances the statistical validity of global and local spatial autocorrelation statistics.     

flowAMOEBA: Identifying Regions of Anomalous Spatial Interactions

This study aims at developing a data‐driven and bottom‐up spatial statistic method for identifying regions of anomalous spatial interactions (clusters of extremely high‐ or low‐value spatial flows), based on which it creates a spatial flow weights matrix. The method, dubbed flowAMOEBA, upgrades a multidirectional optimum ecotope‐based algorithm (AMOEBA) from areal data to spatial flow data through a proper spatial flow neighborhood definition. The method has the potential to dramatically change the way we study spatial interactions. First, it breaks the convention that spatial interaction data are always collected and modeled between spatial entities of the same granularity, as it delineates the OD region of anomalous spatial interactions, regardless of the size, shape, scale, or administrative level. Second, the method creates an empirical spatial flow weights matrix that can handle network autocorrelation embedded in spatial interaction modeling, thus improving related policy‐making or problem‐solving strategies. flowAMOEBA is tested and demonstrated on a synthetic data set as well as a county‐to‐county migration data set.     

Infant taphonomy

In almost all living creatures, in Primates as well as in seventeenth–eighteenth century human populations, a high infant mortality is the rule; therefore, the scarcity of children's bones in cemeteries is suspicious from a demographic point of view. Though possible in some cases, sociological causes appear less important than the peculiar behaviour of infants' bones in the tomb. This paper examines the physico-chemical properties of infants' bones and their consequences for the preservation of archaeological samples; it proposes a new way of approaching distributions at death in the past. © 1997 John Wiley & Sons, Ltd