Linking censuses through time: problems and solutions

This paper reviews the difficulties encountered when attempting to study social change by comparing data from successive censuses, and describes a system designed to provide integrated online access to data from the 1971, 1981 and 1991 Censuses in Great Britain at http://census.ac.uk/cdu/lct/.     

Variation in low food access areas due to data source inaccuracies

Several spatial measures of community food access identifying so called “food deserts” have been developed based on geospatial information and commercially-available, secondary data listings of food retail outlets. It is not known how data inaccuracies influence the designation of Census tracts as areas of low access. This study replicated the U.S. Department of Agriculture Economic Research Service (USDA ERS) food desert measure and the Centers for Disease Control and Prevention (CDC) non-healthier food retail tract measure in two secondary data sources (InfoUSA and Dun & Bradstreet) and reference data from an eight-county field census covering 169 Census tracts in South Carolina. For the USDA ERS food deserts measure accuracy statistics for secondary data sources were 94% concordance, 50–65% sensitivity, and 60–64% positive predictive value (PPV). Based on the CDC non-healthier food retail tracts both secondary data demonstrated 88–91% concordance, 80–86% sensitivity and 78–82% PPV. While inaccuracies in secondary data sources used to identify low food access areas may be acceptable for large-scale surveillance, verification with field work is advisable for local community efforts aimed at identifying and improving food access.     

Use of the census of population to discern trends in the Welsh language: an aggregate analysis

The aim of this paper is to present a preliminary analysis of unitary authority level data from the 2001 census of population on the spatial (and, where available, temporal) patterns in proportions of Welsh speakers in Wales. In so doing we draw attention to the advantages (and limitations) of the census as a source of information on the state of the Welsh language. Although a 2 per cent increase in the percentage of Welsh speakers between 1991 and 2001 has been welcomed, several commentators have drawn attention to the change in the nature of the question asked at the 2001 census which may account for some of this increase. In this paper, we assess what is, and is not, possible to discern from the census, draw attention to other potential sources of information on the language and make some preliminary recommendations for those agencies concerned with monitoring trends in the future, both with regard to the need for more detailed language use surveys and the nature of the question included in subsequent censuses that would permit a more useful comparison of spatial and temporal trends.     

Guest editorial: the 2001 UK census: remarkable resource or bygone legacy of the 'pencil and paper era'?

National censuses are expensive. They are conducted infrequently. They collect information that some feel infringes their human rights, and people are required by law to complete them. The outputs are not perfect, and in some situations may be misleading. Some suggest that censuses hark back to a period when regularly collected administrative data were not available. These are some of the views held about national censuses. Why, then, would others argue that they are an essential resource? In this paper, we consider some of the pros and cons of conducting national censuses, before introducing a series of papers that draw on early data available from the 2001 UK census. We argue that these papers, and the wealth of research that will be conducted in the future with 2001 census data, make a strong case for supporting the compulsory collection of personal information about the 'entire' population every ten years.     

Reindeer population size and trend on Edgeøya Svalbard

Two censuses made of the population of Svalbard reindeer on Edgeøya in 1983 and 1996 resulted in 1586 and 2434 individuals respectively. Together with data from earlier population surveys (1969-77), this indicates, numerically, a population growth during the period 1969-96. Because of the weaknesses in the different census methods used, we cannot conclude that in reality a population growth has taken place even though the numerical data is correct. Therefore an average population size of 1730 (± 451 SD) individuals for the period 1969-96 is suggested. Earlier estimates of vegetated area indicate that the present data corresponds to reindeer densities averaging 1.05 and ranging from 0.79 to 1.47 individuals/km².     

Patterns and causes of uncertainty in the American Community Survey

In 2010 the American Community Survey (ACS) replaced the long form of the United States decennial census. The ACS is now the principal source of high-resolution geographic information about the U.S. population. The margins of error on ACS census tract-level data are on average 75 percent larger than those of the corresponding 2000 long-form estimate. The practical implications of this increase is that data are sometimes so imprecise that they are difficult to use. This paper explains why the ACS tract and block group estimates have large margins of error. Statistical concepts are explained in plain English. ACS margins of error are attributed to specific methodological decisions made by the Census Bureau. These decisions are best seen as compromises that attempt to balance financial constraints against concerns about data quality, timeliness, and geographic precision. In addition, demographic and geographic patterns in ACS data quality are identified. These patterns are associated with demographic composition of census tracts. Understanding the fundamental causes of uncertainty in the survey suggests a number of geographic strategies for improving the usability and quality ACS.     

Exploring urban commuting imbalance by jobs and gender

Previous findings support that distance matters for job access. Typically, long distances act negatively on job access either due to the lack of information about the opportunities or the cost (time, transportation, etc.). Disparities in job access are explained with the workers’ demographic and socioeconomic characteristics and their spatial condition. Nevertheless, job access was not fully explored in multi-dimensional ways because of data and computational limitations. Recently, the wealth of commuting data, combined with the growing capacity of computation and methodological development, enables us to examine more commuting pattern details than what existing data provide at an aggregate level. This study uses a disaggregate journey-to-work model on 2000 Census Transportation Planning Package (CTPP) commuting data to investigate access to job by gender and occupation, in a more localized context. To explore this varying degree of job access and associated explanation, we analyzed disaggregate commuting flows and ran a regression model on them. This study has three main objectives: (1) to disaggregate journey-to-work flows by gender and occupation to estimate the number of commute trips between census tracts, (2) to explore the variations in job access by gender and occupation, and (3) to draw relationships between job access and various worker’s situations. The results show the details of commuting patterns, suggesting that some occupations have more gender imbalance than others. Further, the findings indicate that the same demographic, socioeconomic and spatial conditions have different effects on workers, and the effect is related to the workers’ demographic-socioeconomic status in complex ways. Unlike conventional research in which a particular worker group is compared to a control group of opposite characteristics, our methodology makes it possible to examine an overview of all the job and gender groups, providing advantages in 2-way comparisons between gender and occupation groups beyond a conventional comparison between two groups. Therefore, our study adds an additional dimension to the conventional comparison.     

Leveraging geotagged Twitter data to examine neighborhood happiness,diet, and physical activity

ObjectivesUsing publicly available, geotagged Twitter data, we created neighborhood indicators for happiness, food and physical activity for three large counties: Salt Lake, San Francisco and New York.MethodsWe utilize 2.8 million tweets collected between February–August 2015 in our analysis. Geo-coordinates of where tweets were sent allow us to spatially join them to 2010 census tract locations. We implemented quality control checks and tested associations between Twitter-derived variables and sociodemographic characteristics.ResultsFor a random subset of tweets, manually labeled tweets and algorithm labeled tweets had excellent levels of agreement: 73% for happiness; 83% for food, and 85% for physical activity. Happy tweets, healthy food references, and physical activity references were less frequent in census tracts with greater economic disadvantage and higher proportions of racial/ethnic minorities and youths.ConclusionsSocial media can be leveraged to provide greater understanding of the well-being and health behaviors of communities—information that has been previously difficult and expensive to obtain consistently across geographies. More open access neighborhood data can enable better design of programs and policies addressing social determinants of health.     

An environmental justice assessment of public beach access in Miami,Florida

The scope of empirical environmental justice (EJ) research has expanded beyond hazards exposure to scrutinize social inequities in access to amenities, but no prior study has examined the EJ implications of public beach access. Furthermore, quantitative research on white privilege is very scarce. To address these knowledge gaps, our study examines racial/ethnic and socioeconomic inequities in access to public beaches in the Miami metropolitan statistical area, Florida. Public beach accessibility is modeled with an innovative geospatial approach that involves population weighted distances to beach access sites. To assess EJ implications of public beach access for various racial/ethnic and socioeconomically vulnerable groups, spatial regression models are estimated using census tract-level data. Results indicate that beaches are more accessible to neighborhoods with a higher proportion of non-Hispanic Whites, while neighborhoods with higher percentages of Hispanics and socioeconomically disadvantaged residents have limited access. This study demonstrates the importance of assessing white privilege and access to environmental amenities in EJ research to better understand social inequities.     

Integrating GIS and data warehousing in a Web environment: A case study of the US 1880 Census

While the business intelligence sector, involving data warehouses and online analytical processing (OLAP) technologies, is experiencing strong growth in the IT marketplace, relatively little attention has been devoted to the problem of utilizing such tools in conjunction with GIS. This study contributes to the development of this research area by examining the issues involved in the design and implementation of an integrated data warehouse and GIS system that delivers analytical OLAP and mapping results in real‐time across the Web. The case study chosen utilizes individual records from the US 1880 population census, which have recently been made available by the North Atlantic Population Project. Although historical datasets of this kind present a number of challenges for data warehousing, the results indicate that the integrated approach adopted offers a much more flexible and powerful analytical methodology for this kind of large social science dataset than has hitherto been available.     

Abstract databases as information sources in economic geography

The limitations of existing information sources on mergers/acquisitions within the EU are a serious obstacle to the study of the restructuring of the European production system. The experience of using a computerized abstracting service as a source of information on mergers/acquisitions in the chemical industry is reviewed. This experience informs an assessment of the strengths and weaknesses of similar databases as information sources in economic geography. The proliferation of such databases, together with advances in text management software, suggests that their potential has not been fully appreciated. This potential is considerable in providing easy access to detailed factual information on economic events and processes at continental and global scales. It is, however, strictly limited when it comes to interpreting the corporate strategies and motivations responsible for these developments.     

The domestic divide: Access to the Internet in New Zealand

We use unit records of the 2006 census to show that access to the Internet in the home varies geographically in New Zealand primarily as a result of demographic and socio‐economic differences among individuals. Of particular significance is the much lower rates of domestic access experienced by Māori and Pacific Island individuals even after controlling for differences in their age, gender, education, income, occupation and settlement type. While differences in Internet access by ethnicity has been noted before, it is the magnitude and persistence of this difference in New Zealand after controlling for correlated factors that renders this study unique. Our results have important implications in an education environment increasingly reliant on Web access, but they also raise questions about the extent of access to the Internet outside the home.     

Neighbourhoods and area statistics in the post 2001 census era

This paper examines the current interest in neighbourhood-based policy in England and considers the extent to which the output geography developed for the 2001 census helps to meet the need for neighbourhood-based data. The characteristics of the new census output geography are presented, and the difficulties of creating meaningful neighbourhood geographies from statistical reporting units reviewed. The new geography will provide a much improved basis for the consolidation of data from official administrative sources, but additional challenges are also discussed in relation to the future of census data collection and publication.     

基于WebMGIS的矿山安全实时监测集成系统及其应用

矿山安全实时监测对矿山安全与防灾减灾具有重要的意义。该文在分析当前国内矿山GIS(MGIS)、矿山安全监测系统(MSMS)研究与应用现状的基础上,指出MGIS与MSMS在企业网上进行集成的必要,提出了统一的时空框架下系统集成后的功能和总体结构,论述系统集成中的开发方法选择、时空数据组织、空间数据接口、数据库访问方法及页面更新等问题,最后对该系统在开滦林南仓的成功应用作了简要介绍。     

Does Better Spatial Access Lead to Better Use of Prenatal Care? A Population Study in Georgia

Understanding the effect of spatial accessibility on service utilization is essential to facilitate prenatal care delivery. Previous studies suggest that mothers with better spatial access are more likely to receive adequate prenatal care. Their conclusions, however, are limited by use of small samples and inappropriate spatial accessibility measurements. This article examines the role of spatial accessibility in explaining the variation of prenatal care utilization among 202,377 mothers in Georgia from 2009 to 2011. Specifically, we use geographic information systems and spatial analysis methods to explore the spatial pattern of inadequate prenatal care utilization. A two-transportation-mode, two-step floating catchment area method is used to measure the spatial access to prenatal care by census tract. The effects of spatial accessibility, combined with the influences of demographic, socioeconomic, behavioral, and medical factors, on the adequacy of prenatal care utilization are investigated with statistical models at the individual level. The results show that mothers with better spatial access are less likely to have adequate prenatal care. The inconsistency of this finding with other existing evidence suggests that the effects of spatial accessibility on health service utilization could be complicated and context specific.     

Incorporating GIS Building Data and Census Housing Statistics for Sub-Block-Level Population Estimation

This article presents a deterministic model for sub-block-level population estimation based on the total building volumes derived from geographic information system (GIS) building data and three census block-level housing statistics. To assess the model, we generated artificial blocks by aggregating census block areas and calculating the respective housing statistics. We then applied the model to estimate populations for sub-artificial-block areas and assessed the estimates with census populations of the areas. Our analyses indicate that the average percent error of population estimation for sub-artificial-block areas is comparable to those for sub-census-block areas of the same size relative to associated blocks. The smaller the sub-block-level areas, the higher the population estimation errors. For example, the average percent error for residential areas is approximately 0.11 percent for 100 percent block areas and 35 percent for 5 percent block areas.     

Research Note—A New Method for Mapping Population and Understanding the Spatial Dynamics of Disease in Urban Areas: Asthma in the Bronx,New York

Determining an accurate depiction of population distribution for urban areas in order to develop an improved "denominator" is important for the calculation of higher-precision rates in GIS analyses, particularly when exploring the spatial dynamics of disease. Rather than using data aggregated by arbitrary administrative boundaries such as census tracts, we developed the Cadastral-Based Expert Dasymetric System (CEDS), an interpolation method using ancillary information to delineate areas of homogeneous values. This method uses cadastral data, land-use filters, modeling by expert system routines, and validation against various census enumeration units and other data. The CEDS method is presented through a case study of asthma hospitalizations in the borough of the Bronx in New York City, in relation to proximity buffers constructed around major sources of air pollution. The analysis using CEDS shows that asthma hospitalization risk due to proximity to pollution sources is greater than previously calculated using traditional disaggregation methods.     

Population size,distribution and growth in Iran

The author examines population size, distribution, and growth in Iran using data for 1966, 1976 census data, and some historical data for the nineteenth century. "This paper discusses changes in the size of population through time, population distribution, and regional patterns of population growth of the 23 provinces. It has been argued in this paper that because of a large family size norm as a religious duty to increase the numbers of the Islamic faith, early age at marriage, especially among females, common practice of polygamy, and the war with Iraq, population will grow even faster. It is concluded that population policy must be integrated into the national development plans."     

Recent population characteristics and growth in the USSR

"Data from the preliminary results of the 1989 census and Naseleniye SSSR 1987 permit analyses of age-sex structures of the Soviet population and distributions by civil divisions of natural growth rates, total population growth, urban growth, rural growth, percent urbanization, and growths of cities. The paper complements the treatment of census results by macroregions appearing in the November 1989 issue of Soviet Geography...by summarizing trends emerging at a finer scale of analysis and providing recent background information on demographic components of population change."     

Land cover and land use change in the Italian central Apennines: A comparison of assessment methods

Analyses of land-use cover changes (LUCC) are fundamental to the understanding of numerous social, economical and environmental problems and can be carried out rapidly, using either cartographic or census data. However, the trends of the two methods differ in direction and quantity.For this study, a historical and a recent remote sensing-derived map were homogenized to reduce misleading changes and to assess spatial aggregation errors. This was carried out by means of a data integration procedure based on landscape metrics, allowing cartographic and census trends to be compared. Discrepancies between data were thus highlighted, both in absolute surface value and in evolution.The methodology presented, and the results obtained, could be employed to evaluate and improve LUCC analyses aimed at assessing landscape identity, both in the case of analyses based only on LU census data, or of those based only on LC cartographic data. This could lead to benefits for both biodiversity conservation and environmental planning on a large scale.