Spatial Interpolation and Disaggregation of Multipliers

Most non-survey methods of estimating single-region multipliers have been shown to produce a systematic upward bias, unless a considerable amount of "superior" data is added. Here it is argued that this conclusion does not need to apply to the case of a non-survey, spatial disaggregation of multipliers. The method proposed consists of four steps with two substantive formulas. The first secures the non-survey interpolation of the lacking intra-regional multipliers for the smaller regions by means of regression. The second secures the non-survey spatial disaggregation of the inter-regional spillovers by means of second-order distance decays. The method is illustrated numerically by means of the interpolation and disaggregation of the 2 × 14 Type II biregional employment multipliers for aggregate Dutch regions into one 40 × 40 inter-regional employment multiplier matrix for the Netherlands as a whole.     

Target-Density Weighting Interpolation and Uncertainty Evaluation for Temporal Analysis of Census Data

Conducting temporal analysis of census data often requires applying areal interpolation to integrate data that have been spatially aggregated using incompatible zoning systems. This article introduces a method of areal interpolation, target-density weighting (TDW), that is useful for long-term temporal analysis because it requires only readily available historical data and basic geographic information system operations. Then, through regression analysis of a large sample of U.S. census tract data, a model is produced that relates the error in TDW estimates of tract population to four basic properties of tracts. An analysis of model residuals combined with theorized absolute limits on interpolation error yields formulas with which we can compute upper and lower prediction bounds on the population in a tract of one census at the time of a different census. These prediction intervals enable the interpretation of different interpolated estimates with appropriately varying degrees of uncertainty.     

An Anisotropic Model for Spatial Processes

One of the key assumptions in spatial econometric modeling is that the spatial process is isotropic, which means that direction is irrelevant in the specification of the spatial structure. On the one hand, this assumption largely reduces the complexity of the spatial models and facilitates estimation and interpretation; on the other hand, it appears rather restrictive and hard to justify in many empirical applications. In this article a very general anisotropic spatial model, which allows for a high level of flexibility in the spatial structure, is proposed. This new model can be estimated using maximum likelihood and its asymptotic properties are derived at length. When the model is applied to the well-known 1970 Boston housing prices data, it significantly outperforms the isotropic spatial lag model. It also provides interesting additional insights into the price determination process in the properties market. Finally, a Monte Carlo simulation study is used to confirm the optimal properties of the model.     

Reconstructing Population Density Surfaces from Areal Data: A Comparison of Tobler's Pycnophylactic Interpolation Method and Area-to-Point Kriging

We compare Tobler's pycnophylactic interpolation method with the geostatistical approach of area-to-point kriging for distributing population data collected by areal unit in 18 census tracts in Ann Arbor for 1970 to reconstruct a population density surface. In both methods, (1) the areal data are reproduced when the predicted population density is upscaled; (2) physical boundary conditions are accounted for, if they exist; and (3) inequality constraints, such as the requirement of non-negative point predictions, are satisfied. The results show that when a certain variogram model, that is, the de Wijsian model corresponding to the free-space Green's function of Laplace's equation, is used in the geostatistical approach under the same boundary condition and constraints with Tobler's approach, the predicted population density surfaces are almost identical (up to numerical errors and discretization discrepancies). The implications of these findings are twofold: (1) multiple attribute surfaces can be constructed from areal data using the geostatistical approach, depending on the particular point variogram model adopted—that variogram model need not be the one associated with Tobler's solution and (2) it is the analyst's responsibility to justify whether the smoothness criterion employed in Tobler's approach is relevant to the particular application at hand. A notable advantage of the geostatistical approach over Tobler's is that it allows reporting the uncertainty or reliability of the interpolated values, with critical implications for uncertainty propagation in spatial analysis operations.     

Planning for Rural Housing in the Republic of Ireland: From National Spatial Strategies to Development Plans

This paper examines the role of spatial planning as a policy framework for managing rural housing within an integrated territorial development strategy. The paper focuses on the Republic of Ireland, which provides a useful case for analysing spatial planning and rural housing relationships, due to the State's recent shift towards spatial planning (formalized with the publication of the Irish National Spatial Strategy), as well as the level of housing construction that has been observed in an increasingly post-productivist countryside (triggered by counter-urbanization flows, increased affluence and demands for second holiday homes, etc.). The paper reviews all policy instruments that have been used to manage rural housing at various scales (from national strategies to local level development plans). It is argued that while spatial planning adopts an integrative vocabulary, as policy moves down the spatial scale hierarchy, multi-dimensional spatial goals are implemented through traditional, narrow land-use regulation. This often leads to rural housing being addressed in isolation from its wider social and economic context, disconnecting housing from wider rural community issues and ultimately failing to deliver a coordinated and coherent spatial policy for managing rural settlements.     

Searching for Nineteenth-Century Farm Tenants: An Evaluation of Methods

Abstract

In tandem with a recent surge in interest in lynching in the United States in the late 19th and early 20th centuries, researchers in a number of fields have begun to use lynching data in new ways for a wide range of empirical investigations. A limited number of historical national lynching data series are available, have well-known flaws, and are nonetheless used. This article analyzes and compares these series, summarizes recent efforts to address their shortcomings, and identifies extensions that could aid in the construction a national database of confirmed lynching victims, whose broader applications are just beginning to be explored.     

An Anatomy of Spatial Planning: Coming to Terms with the Spatial Element in UK Planning

“Spatial planning” is a phrase that now resonates throughout many planning systems across the globe. It is being used as a label to describe pan-national, regional, strategic and even aspects of local planning processes. Within the UK, spatial planning is being utilized alongside, or even in place of, more traditional phraseology associated with planning, such as “town and country planning”. It is being used by a range of institutions of the State, professional groups and academic commentators to describe the processes of planning reform, modernization, policy integration, and strategic governance that politically are now required to make planning fit for purpose in the 21st century. The precise meaning and definition of spatial planning remains difficult to pin down, as does its origins within the UK. This paper attempts to dissect the various components of the spatial planning phrase and set out the meaning and origins of the term in the UK context. It covers re-territorialization, Europeanization and integration origins of spatial planning thinking and provides a conceptual, rather than practical, debate on the anatomy of spatial planning, situated within ongoing processes of institutional transformation, through the lens of governance and distinctiveness in state policy development.     

An Angular Version of Spatial Correlations,with Exact Significance Tests

Spatial correlations are replaced by ordinary correlations by projecting the two-dimensional coordinates of a map onto a single axis making angle θ with the horizontal (east-west) axis. This calculation permits the use of exact test statistics. Moreover, the correlations can be plotted in polar coordinate form and the significance of the maximum correlation can be tested. The plot is a useful aid in assessing the reasonableness of the isotropy assumption.     

旅游经济影响评估--线性规划在旅游决策中的运用

本文向旅游规划者提供线性规划模型,将其应用到国家级自然风景区--天柱山所在地潜山县,以此研究旅游发展对经济的影响,并建立一个基准水平作为比较的基础.     

衡山景观资源开发

衡山为中华五岳之一,著名宗教名山和旅游胜地。本文阐述衡山自然景观的形成,并从旅游的角度论证衡山具有独特的美学价值、丰富的科学与艺术内容、众多的旅游景目、优越的交通地理位置等优势,建议衡山风光资源开发必须遵循建设与保护相结合、自然景观与人文景观并重、美化和净化同步、社会效益与经济效益兼顾等原则。     

罗斯福"新政"金融立法评介

自从二战结束以来,美国国内关于美国金融体系的争论一直没有停止过。20世纪80年代的放松管制改革．1999年《金融服务现代化法案》的通过,标志着美国的金融体系进入了一个新的历史发展时期。这场争论似乎是以对罗斯福“新政”金融立法的全面否定而告终。在这一历史背景之下,有必要对“新政”的金融立法进行客观的评价。     

论醇亲王奕譞

醇亲王奕譞是晚清史上一重要政治人物,思想敏锐,品行廉洁,曾对中国早期近代化事业作出过很大的贡献,特别是在兴建铁路方面的业绩尤为突出。但以往人们多对其持消极评价,主要因为他曾帮助慈禧太后修建颐和园,这件事被认定与甲午战争的失败有关,笔者以为此种观点是不正确的。     

我国高等教育评估制度改进对策探究

高等教育评估是高等教育事业发展到新阶段的必然产物,是我国高度重视高等教育、狠抓教育教学质量、办人民满意的高教事业的重要举措,也是构建中国特色高等教育质量监控和保障体系的重要步骤。本文全面分析了我国高等教育评估中存在的问题及有待改进的方面,并提出了相应的对策、建议。