Java's forgotten pearls: the history and disappearance of pearl fishing in the Segara Anakan lagoon, South Java, Indonesia

Pearls have been a valued resource in most cultures that had access to them. A number of historically important pearling grounds were situated in the waters around today's Indonesia. One of these areas, now largely forgotten, was the Segara Anakan lagoon in South Java. In the seventeenth century, Dutch colonists exploited the lagoon's pearls. Afterwards, the lagoon's oysters were locally exploited as a food item until the late 1970s. While the pearl fishery attracted considerable attention in the colonial literature, its disappearance, by contrast, went largely undocumented. Nowadays, the oysters no longer are found in the lagoon as a result of extensive sedimentation processes. Their former existence is only preserved in the memory of local people. This article examines the history and fate of the pearls of Segara Anakan, providing an example of a formerly valued species whose existence simply became forgotten outside the area.     

Geographical structure in nineteenth-century urban retailing: Milwaukee, 1836–1890

This study explores the spatial structure of retailing in Milwaukee, Wisconsin, in the era before the introduction of the electric streetcar in 1890. It uses city directory listings to chart changes in the numbers and types of retail outlets, their degree of nucleation and the functional complexity of such nucleations. The evidence suggests the early appearance of non-central retailing, the rapid dispersal of high as well as low order goods to non-central sites and the early emergence initially of a three-level and then, by 1870, a four-level hierarchy of shopping clusters. The pattern of retail clustering varied with the class and ethnic character of neighbourhoods, and clusters gravitated toward major arterial routes even in the pre-mass transit ear. Urban retailing in the second half of the nineteenth century was neither randomly dispersed nor over-whelmingly concentrated in a single central retail district, but developed a spatial hierarchy that clearly anticipated modern patterns.     

Reducing Errors in Rainfall Estimates through Rain Gauge Location

Facility location models are examined as a framework for generating rain gauge networks designed to reduce errors in mean areal precipitation (MAP) estimation. Errors in estimating MAP may be divided into two types: (i) capture error, not observing a storm which occurs in a gauged area, and (ii) extrapolation error, using a rain gauge measurement to represent a heterogeneous area. In this paper, five rain gauge location models are developed to minimize these errors. The models include adaptations of the maximal covering location problem, the p-median model, and three models derived from multicriteria cluster analysis. The models are tested using precipitation data from an experimental watershed maintained by the U.S. Department of Agriculture in Arizona. Analysis of the results reveals, for the particular watershed, that (1) in sparse networks, location of rain gauges can play a larger role than number of rain gauges in reducing errors in MAP estimates; (2) models based on mean hydrologic data provide nearly as good networks as models based on spatially correlated data; and (3) models yielding the best networks for estimating precipitation for flood predictions are different from the models providing the best precipitation estimates for low flow forecasts.     

A Comparison of Spatially Varying Regression Coefficient Estimates Using Geographically Weighted and Spatial‐Filter‐Based Techniques

Geographically weighted regression (GWR) is a technique that explores spatial nonstationarity in data‐generating processes by allowing regression coefficients to vary spatially. It is a widely applied technique across domains because it is intuitive and conforms to the well‐understood framework of regression. An alternative method to GWR that has been suggested is spatial filtering, which it has been argued provides a superior alternative to GWR by producing spatially varying regression coefficients that are not correlated with each other and which display less spatial autocorrelation. It is, therefore, worthwhile to examine these claims by comparing the output from both methods. We do this by using simulated data that represent two sets of spatially varying processes and examining how well both techniques replicate the known local parameter values. The article finds no support that spatial filtering produces local parameter estimates with superior properties. The results indicate that the original spatial filtering specification is prone to overfitting and is generally inferior to GWR, while an alternative specification that minimizes the mean square error (MSE) of coefficient estimates produces results that are similar to GWR. However, since we generally do not know the true coefficients, the MSE minimizing specification is impractical for applied research.     

War widows and revenge in Restoration England

This article examines petitions submitted by royalist widows to the House of Lords during the first few months of the Restoration. The husbands of these women had been tried and executed for treason during the 1640s and 1650s for their perceived loyalty to the royalist cause, prompting their spouses to demand retribution against their judges and jurors. As the Convention Parliament deliberated over the Act of Indemnity during the summer of 1660, these aggrieved widows were presented with an opportunity to ensure that the men they held responsible for their husband’s deaths were brought to account. By assessing the petitioning strategies adopted by these women and the government’s responses to their demands, the article throws light on a group of war widows who have received little scholarly attention. It is argued that whilst these women were largely unsuccessful, their efforts represent a significant aspect of female activism during the seventeenth century.     

The religious geography of Marvell’s “An Horatian Ode”: popery,presbytery, and parti-coloured picts

ABSTRACT

Marvell’s “Ode” (1650) is an English poem about a British problem – a problem further problematized by religion. The “Ode” lauds Cromwell’s Irish and Scottish campaigns, but English responses to these “colonial” wars were in reality complicated by protestant infighting among presbyterians, independents, and sectarians. Writers like Milton and Nedham rallied English support for Cromwell’s Irish campaign by recycling Spenserian stereotypes of Irish catholic barbarity. But Milton and Nedham also undercut English protestant unity by flinging these same anti-catholic stereotypes at Scottish presbyterians in Belfast and Edinburgh. Departing from previous studies, this article argues that Marvell’s “Ode” eschews Milton and Nedham’s anti-Presbyterianism in ways calculated to elide, rather than divide, protestant communities. The article explores how the “Ode” presents Cromwell’s Irish and Scottish campaigns as exclusively anti-catholic (rather than anti-presbyterian) crusades, comparing Marvell’s presentation of Cromwell in the “Ode” with his identification of Cromwell as an anti-catholic crusader in “First Anniversary” (1655). Both poems anticipate in this respect Marvell’s later anti-catholic, but pro-nonconformist, approach to Ireland in Rehearsal transpros’d (1672–1673). The article is therefore concerned to root Marvell’s post-Restoration commitment to protestant tolerationism within the anti-catholic language of the “Ode”.