Illuminating spaces in the classroom with qualitative GIS

As social and postmodern ontologies continue to shape our definition of space, undergraduate instructors have struggled to incorporate these paradigms in the geography classroom. Recent research suggests that practical applications using field work, qualitative research, and geographic information science can augment students’ understanding of these spatial ontologies. Qualitative GIS holds promise as a means to integrate these methods in geographic education, yet there are no signs to date that the methodology has transitioned from research to teaching. This paper details our attempt to incorporate qualitative GIS into an undergraduate urban field studies course in lieu of a strictly lab-based GIS assignment. We outline our approach before discussing students’ engagement with the assignment in greater depth. Drawing from field experiences and deliverables across four terms, we argue that teaching from a qualitative GIS framework can effectively communicate the fundamentals of modern spatial theory and geographic research methods to students as they investigate problems in the field. We also note recurring challenges to mixed-methods teaching for students unfamiliar with the new methods presented. We close by discussing avenues for instructors in different circumstances, e.g. personal skills sets and class characteristics, to consider qualitative GIS in their classrooms.     

Pattern Analysis Based on Type, Orientation, Size, and Shape

Quantifying the pattern of geographically defined areas has proven useful in analyzing and understanding geographic processes. Pattern analyses most commonly used by geographers measure the spatial distribution of nonspatial variables at each point or in each area. The objective of this research is to develop and assess a pattern analysis for area-class maps that considers more than the nonspatial attributes when describing a spatial pattern. We examine whether similar geographic areas—similar with respect to attribute type and several geometric properties—exhibit particular spatial patterns (e.g., clustered, random, or dispersed). The additional attributes we include are orientation, size, and shape. We refer to the method as TOSS, reflecting the T ype, O rientation, S ize, and S hape of areas. The goal of considering these additional attributes is to capture the geometric aspects of pattern that other approaches to pattern analysis do not. Sets or groups of similar areas are created using cluster analysis, based on a variable standardization score using the Gower coefficient of similarity. The spatial distributions for each set of geographic objects are then calculated using nearest neighbor analysis. To test the effectiveness of the TOSS method, results from pattern analysis and the TOSS method are qualitatively and quantitatively compared. The TOSS method offers a novel approach to pattern analysis.     

HISTORIOMETRICS,HISTORICAL AND CARTOGRAPHIC INFORMATION,AND COMPUTERS

Abstract

Accessibility is frequently used in transportation planning to measure the efficiency of new infrastructure in terms of travel time and population served. In this article, the authors apply accessibility concepts based on the geo-historical angle. The aim of this study is to investigate the relationships between population dynamics and the railway expansion from 1830 to 1930. Their approach considers a local scale composed of some 36,000 French communes for the demographic data and more than 28,000 kilometers for the railway network. The methodological framework of this database is based on historical geographic information systems completed by anamorphosis analysis. In this way, they are able to map the changing contours of accessibility from the local to the regional and national scales for historical time.     

Legacy databases and GIS: a discussion of the issues illustrated by a case study of archaeological site data from southeast Alberta,Canada

Many institutions and agencies are currently faced with the issue of geographic information systems‐enabling legacy databases. The problems can be acute for data sets that have been compiled through many years, using different standards and levels of recording. To explore these issues further, we report on a data quality assessment undertaken in 2002 for a subset of the archaeological site database of the province of Alberta, Canada. Our work shows that positional ambiguities in the data set can be highlighted and corrected by relatively straightforward procedures. This case study also provides an indication of the amount of work effort that will be involved in validating or ‘cleaning up’ data sets so model results and analyses undertaken with them are more reliable.     

EMPIRICAL IMPLICATIONS OF ADVANCES IN CANONICAL THEORY*

Canonical correlation has seen growing acceptance in geographical research as a tool for analysing the interrelationships between two sets of variables.¹ It provides a natural extension to the multivariate case of simple correlation analysis introduced into the discipline in the fifties for measuring the degree of areal association between two individual variables.² It has also proved valuable for forging a link between traditional geographic variables measuring the attributes of places and those indicating interactions among them.³ Recently, major developments in canonical theory have occurred which provide two major benefits for geographical research.⁴ First, asymmetrical regression relationships in addition to symmetrical correlation relationships between two variable sets can be determined. Researchers can use canonical regression to examine the degree to which one variable set is capable of predicting the other, in addition to canonical correlation which examines the symmetrical interrelationships between the two.⁵ Secondly, much improved methods are available for measuring the number, strength, and nature of the interrelationships between the two variable sets, and for assessing the adequacy of the canonical model in general.⁸ The purpose of this paper is to provide an overview of these developments and, more particularly, to explore their implications for the validity of empirical results obtained in earlier applications of canonical analysis. This is not intended as a criticism of these studies but rather as an attempt to further our understanding of spatial structure and process through re-examination of existing data in the light of refined techniques.     

Seeing Past Parallel Play: Survey Measures of Collaboration in Disaster Situations

The literature on the management of policy networks has expanded greatly in the past decade. In spite of this attention, no consensus has emerged on how to measure collaboration or even what constitutes collaboration. This article uses data from a postdisaster survey to compare some existing approaches to measuring collaboration. We analyze various survey‐based measures ranging from respondent‐defined collaboration to activity‐based or contact‐based measures. We recommend that scholars consider opportunity costs as a key component in differentiating between significant collaboration and basic coordination (or “parallel play”). Based on this opportunity cost approach, we consider the distinctiveness of disaster collaboration.     

Quantifying the Effects of Mask Metadata Disclosure and Multiple Releases on the Confidentiality of Geographically Masked Health Data

The availability of individual-level health data presents opportunities for monitoring the distribution and spread of emergent, acute, and chronic conditions, as well as challenges with respect to maintaining the anonymity of persons with health conditions. Particularly when such data are mapped as point locations, concerns arise regarding the ease with which individual identities may be determined by linking geographic coordinates to digital street networks, then determining residential addresses and, finally, names of occupants at specific addresses. The utility of such data sets must therefore be balanced against the requirements of protecting the confidentiality of individuals whose identities might be revealed through the availability of precise and accurate locational data. Recent literature has pointed toward geographic masking as a means for striking an appropriate balance between data utility and confidentiality. However, questions remain as to whether certain characteristics of the mask (mask metadata) should be disclosed to data users and whether two or more distinct masked versions of the data can be released without breaching confidentiality. In this article, we address these questions by quantifying the extent to which the disclosure of mask metadata and the release of multiple masked versions may affect confidentiality, with a view toward providing guidance to custodians of health data sets. The masks considered include perturbation, areal aggregation, and their combination. Confidentiality is measured by the areas of confidence regions for individuals' locations, which are derived under the probability models governing the masks, conditioned on the disclosed mask metadata.     

The City as a Focus for Human Capital Migration: Towards a Dynamic Analysis of University Human Capital Contributions

Universities’ contributions to urban development frequently focus on their micro- or macro-scale effects, ignoring the meso-scale effects they have on inter-territorial relationships. Although universities are seen as an essential part of the recipe for successful urban development, there is a lacuna to understanding how they make places and shape urban hierarchies, and this article addresses this question. This article focuses on one university–urban development process, the creation and embedding of highly skilled graduates, to explore what the aggregate effects of universities on places are; it develops a set of indicators to measure graduate attraction and retention as well as the overall composite place effect. The article develops a typology based on these three indicator sets, and tests this using a data set developed from a Polish social media website. It finds that these indicators are a good way of measuring the effects of human capital creation and mobility at the urban scale. The article concludes by arguing that a greater focus is required in studying the roles that universities play in fostering through-flow in places, changing these places’ nature as nodes within wider urban systems and hierarchies, in the context of university–regional development.     

Lost in the Mail: the Inherent Errors of Mapping Australia Post Postcodes to ABS Derived Postal Areas

It is now common practice, by users of geographic information, to link data held at the postcode level to that obtained from the national census. This paper examines the relationship between Australia Post (AP) postcodes and Australian Bureau of Statistics (ABS) derived postal areas — which are an approximation of the former based on aggregated census collection districts (CDs). A group of adjacent ABS postal areas in northwest Melbourne was compared with the true AP postcode areas they purported to represent and the discrepancies were investigated. Firstly, shape mismatches were studied and their potential impacts upon resource allocation decisions were assessed. Next, comparisons of areas were undertaken. It was found that, in established inner city urban areas, the two sets of boundaries were highly correlated. However, outer suburban neighborhoods were identified as being particularly prone to major areal discrepancies. The implications of mismatches between these two key boundary data sources may be severe, given that management decisions and the allocation of public and private resources are often based on spatial statistical analyses which use these data sets. The authors acknowledge ABS efforts in providing information at the levels of aggregation that society demands. The introduction of ABS postal areas data has undoubtedly facilitated the use of demographic data in many sectors; it has, however, also caused some problems, for instance, when users assume that ABS postal areas are identical to AP postcodes. These issues could easily be avoided with the inclusion of more comprehensive metadata documentation accompanying ABS data. Research is continuing to develop a method by which agencies may derive common boundaries for their administrative units, yet still meet their own individual data and sampling requirements.     

The role of policy narrators during crisis: A micro-level analysis of the sourcing,synthesizing, and sharing of policy narratives in rural Texas

How do policymakers respond to crises? The Narrative Policy Framework (NPF) answers this question by focusing on the contest over policy narratives. This paper focuses on the individuals constructing those policy narratives, conceptualizing them as policy narrators. Using a case study approach, we analyze seven counties located in a major oil and gas formation in Texas, which in early 2020 faced both an oil bust and the onset of COVID-19. We explore four sets of propositions about how policy narrators source, synthesize, and share their policy narratives. We find that while their narratives vary, the structure of those narratives is similar; their backgrounds shape how they source narratives, and they tailor their levels of narrative breach to the action (or inaction) they hope for. They avoid casting other local actors as villains, place their audience as the hero, and situate themselves as either supporting or a member of that audience, stressing their common ties. From these findings, we put forward a working definition of policy narrators, identify how they fit into the NPF, and discuss how they relate to other types of policy actors, including policy entrepreneurs.     

The United States Manuscript Census as a Teaching Aid

Abstract

This article describes a new approach for analyzing data within national historical geographic information system databases that can be used to explore long-term trends in landscape evolution. The methodology is based on clustering together areas with similar demographic characteristics to define urban agglomerations whose territorial extents and populations vary over time. The resulting database can be used in a wide range of ways that allow the empirical study of urban growth and urban sprawl. The article is based on data for England and Wales but given the increasing availability of national historical geographic information system databases for countries around the world, the approach could be replicated for a wide range of different places.     

Fortifications and Enclosures in European Prehistory: A Cross-Cultural Perspective

This article reviews recent research into the archaeological interpretation and investigation of fortifications and enclosures during the Neolithic and Bronze Age in Europe. Recent methodological, technological, and cultural developments have expanded our understanding of the temporal, spatial, and formal variability of these features on the landscape. Interpretations of this variability also have varied with different theoretical trends in the discipline. We advocate a cross-cultural approach that focuses on the occurrence of enclosures and fortifications over the long term at the continental scale. Such a macroscalar approach complements interpretive frameworks at the regional and microregional scales. The geographic and temporal distribution of these features indicates that social institutions associated with principles of segmentation and substitutability became formalized and tethered to the landscape during the Neolithic.     

Measuring Spatial Correspondence among Network Paths

Measuring the spatial correspondence among geographic features is an important component of many analyses such as those seeking to identify similar or dissimilar features, explore the extent to which change has taken place, and explain the processes influencing spatial change. In networked systems, the paths providing connectivity between pairs of nodes are often the geographic features among which spatial correspondence is to be assessed. That is, given a set of paths between a pair of nodes, the extent to which they share portions of the network and spatially deviate from one another can provide insight on the factors underlying the use of a system. While methods for measuring the spatial correspondence among specific types of network paths have been devised, this article proposes a methodology for measuring the spatial correspondence among the topology of network paths of any type, including those involving redundant use of network space. By basing comparisons upon the topologic relationships among the paths, the proposed approach better accounts for average spatial deviation as well as the asymmetric spatial relationship between pairs of paths, enabling greater stability and consistency in the analysis of their spatial characteristics. The developed methodology is applied to evaluate variability in spatial correspondence among a set of network paths to demonstrate its utility.     

A Shape‐Based Local Spatial Association Measure (LISShA): A Case Study in Maritime Anomaly Detection

The explicit consideration of the shape of geographic features has been largely ignored in existing spatial association measures. The primary contribution of this work is the development of a new local spatial association measure—a Local Indicator of Spatial and Shape Association (LISShA). The LISShA measure is modeled after local Geary's Spatial Autocorrelation measure with distance between shapes, calculated using the Small–Le metric, replacing difference between attribute values and the spatial neighborhood defined by Fréchet distance. We provide some explanation of these metrics and show, in detail, how the LISShA and proposed moments are calculated in a one‐dimensional context in a case study of maritime anomaly detection.     

A Critical Comment on the Taylor Approach for Measuring World City Interlock Linkages

In the study of economic‐geographic structures, the shifting focus from the national state to the city and its region has highlighted the lack of reliable interurban data sets. The abundance of usable data sets on international structures and flows has no counterpart when studying interurban relations, which makes it hard to draw any extensive conclusions regarding the structure of world city networks. Instead of relying on available data sets, Peter Taylor has developed a method for generating data sets that, it is argued, can be used in research on the structure of the world city network. In this approach, actors are defined as cities with internal attribute service values, values reflecting the presence of different transnational service‐producing corporations in each city. The structural values between each pair of cities are then established by a mathematical formula based on the service value of each firm in each pair of cities. This procedure can be criticized on two accounts. First, although internal attributes on exceptional occasions can be used as a proxy and as a rough estimate for structural values, such studies must have a firm theoretical underpinning in order to be valid from a network‐analytical perspective. If not, such generated structural values become nothing more than a function of internal attributes, thus losing the whole basic idea of social network analysis. Second, the Taylor function used for generating structural values can be questioned. Why should a large presence of TNC offices in a pair of cities imply a larger city interlock link than would be the case between a high‐ranked city and a low‐ranked city, as the city with the larger service value probably serves cities with a lower service value with economic command, control, and support functions?     

Contiguity Constraints for Single‐Region Site Search Problems

This paper proposes an explicit set of constraints as a general approach to the contiguity problem in site search modeling. Site search models address the challenging problem of identifying the best area in a study region for a particular land use, given that there are no candidate sites. Criteria that commonly arise in a search include a site's area, suitability, cost, shape, and proximity to surrounding geographic features. An unsolved problem in this modeling arena is the identification of a general set of mathematical programming constraints that can guarantee a contiguous solution (site) for any 0–1 integer‐programming site search formulation. The constraints proposed herein address this problem, and we evaluate their efficacy and efficiency in the context of a regular and irregular tessellation of geographic space. An especially efficient constraint form is derived from a more general form and similarly evaluated. The results demonstrate that the proposed constraints represent a viable, general approach to the contiguity problem.     

Where is Helvellyn? Fuzziness of multi-scale landscape morphometry

The landscape in which people live is made up of many features, which are named and have importance for cultural reasons. Prominent among these are the naming of upland features such as mountains, but mountains are an enigmatic phenomenon which do not bear precise and repeatable definition. They have a vague spatial extent, and recent research has modelled such classes as spatial fuzzy sets. We take a specifically multi-resolution approach to the definition of the fuzzy set membership of morphometric classes of landscape. We explore this idea with respect to the identification of culturally recognized landscape features of the English Lake District. Discussion focuses on peaks and passes, and the results show that the landscape elements identified in the analysis correspond to well-known landmarks included in a place name database for the area, although many more are found in the analysis than are named in the available database. Further analysis shows that a richer interrogation of the landscape can be achieved with Geographical Information Systems when using this method than using standard approaches.     

Assessing the Impact of Location on Women's Labor Market Outcomes: A Methodological Exploration

Location and the nature of locally available employment opportunities is believed to shape labor force participation, job type, and wages. Analysts investigating this issue have encountered problems in operationalizing the concept of “locally available employment opportunities.” We first review the grounds for expecting a relationship between local context and employment outcomes for women and then critically assess the methods and measures that analysts have used to explore the relationship. Finally, we describe a new approach for measuring local employment context that consists of a fine-scaled measure individually tailored for each woman in the sample. Using discriminant analysis we ask whether the spatial variables measuring local employment context are important determinants of women's employment in female-dominated occupations. The results suggest that for most groups of women (defined by city or suburban residence and by sociodemographics) the spatial variables are not important. For well-educated, part-time employed women with young children, however, living in an area rich in female-dominated job opportunities increases the likelihood of having a job in a gender-typical occupation; for these women, the local employment context does affect labor market outcomes.     

ELEMENTS OF SKILL: TRAITS,INTELLIGENCES, EDUCATION,AND AGGLOMERATION*

ABSTRACT There are many fundamental issues in regional and urban economics that hinge on worker skills. This paper builds on psychological approaches to learning to characterize the role of education and agglomeration in the skill development process. While the standard approach of equating skill to worker education can be useful, there are important aspects of skill that are missed. Using a measure of skill derived from hedonic attribution, the paper explores the geographic distribution of worker traits, intelligences, and skills and considers the roles of urbanization and education in the skill development process.     

Networks,context, and the use of spatially weighted survey metrics

Social context is a vitally important concept to political geographers, but one that suffers from measurement problems and ambiguities of definition, particularly at the most localized levels of measurement. In this paper, we argue that unique insights about context can be gained by combining the tools of survey research with the geographic tools of spatial analysis. By spatially interpolating indicators of neighborhood-level political discussion from egocentric network batteries, we capture meaningful variation in micro-level political environments. Focusing on three activist-driven measures of the political environment, we demonstrate that these measures pass key validity tests and improve model fit compared to unit-invariant measures of social context. We conclude by discussing the practical considerations and challenges associated with this measurement strategy and discuss other, more general dimensions of social context that might be captured utilizing this methodology.