THE DATA AVALANCHE IS HERE. SHOULDN’T WE BE DIGGING?

ABSTRACT.  We have access to an unprecedented amount of fine-grained data on cities, transportation, economies, and societies, much of these data referenced in geo-space and time. There is a tremendous opportunity to discover new knowledge about spatial economies that can inform theory and modeling in regional science. However, there is little evidence of computational methods for discovering knowledge from databases in the regional science literature. This paper addresses this gap by clarifying the geospatial knowledge discovery process, its relation to scientific knowledge construction, and identifying challenges to a greater role in regional science.     

Conceptualizing Urban Inequalities as a Complex Socio-Technical Phenomenon

The United Nations World Social Report (2020) reveals that more than two thirds of the world's population live in countries where urban inequalities have increased in the last three decades. While urban inequalities are traditionally characterized as an economic issue, scholars are increasingly applying methods from geospatial analysis to study them. In the context of these advancements, it remains unclear what underlying perspectives are guiding decisions to concentrate on certain aspects of urban inequalities, while potentially ignoring others. We address this gap by reviewing the literature centered on the geospatial analysis of urban inequalities and identify three predominant research lenses from accessibility, distribution, and policy and stakeholder perspectives. As a primary contribution of this article, we connect the perspectives with ideas drawn from complexity theory to develop an overarching socio-technical framework for how urban inequalities emerge over space and time. While traditional scientific frameworks seek to increase knowledge through causality, complexity science acknowledges the inherent challenges in defining, understanding and solving complex problems such as urban inequalities, which has profound implications for their representation, modeling and interpretation. We critically reflect on the framework through key relational themes and insights drawn from the literature and close with considerations for future research.     

Matching Geospatial Concepts with Geographic Educational Needs

In this paper, we assume that learning to comprehend the geospatial environment would be significantly facilitated by developing a multi‐level task ontology that identifies various levels and complexities of geospatial concepts. We suggest that, apart from four spatial ‘primitives’– identity, location, magnitude, and space‐time – all geospatial concepts involve ‘inheritance’ characteristics. The more complex and abstract the concept, the larger the inheritance links that need to be appreciated to enhance concept understanding. For example, many basic geospatial concepts – such as direction and distance – are first‐order derivatives from the ‘location’ primitive, whereas concepts such as spatial association, map projection or interpolation are high‐order concepts that require several layers of geospatial concepts in their derivation. Having offered a five‐level ontology for concept organisation, we suggest sets of tasks that could establish an understanding of concepts, thus directly making the environment more legible in a spatial sense. We develop this framework in the context of the teaching of geography in grades from kindergarten to the final years of high school (grade 12 in the United States system). Our conceptualisation is grounded in the US school system – in which geography is usually absent in the curriculum.     

A Geographic Network Automata Approach for Modeling Dynamic Ecological Systems

Landscape connectivity networks are composed of nodes representing georeferenced habitat patches that link together based on a species’ maximum dispersal distance. These static representations cannot capture the complexity in species dispersal where the network of habitat patch nodes changes structure over time as a function of local dispersal dynamics. Therefore, the objective of this study is to integrate geographic information, complexity, and network science to propose a novel Geographic Network Automata (GNA) modeling approach for the simulation of dynamic spatial ecological networks. The proposed GNA modeling approach is applied to the emerald ash borer (EAB) forest insect infestation using geospatial data sets from Michigan, U.S.A. and simulates the evolution of the EAB spatiotemporal dispersal network structures across a large regional scale. The GNA model calibration and sensitivity analysis are performed. The simulated spatial network structures are quantified using graph theory measures. Results indicate that the spatial distribution of habitat patch nodes across the landscape in combination with EAB dispersal processes generate a highly connected small-world dispersal network that is robust to node removal. The presented GNA model framework is general and flexible so that different types of geospatial phenomena can be modeled, providing valuable insights for management and decision-making.     

The Hidden Perils of Citation Counting for Australasian Political Science

In a recent article in Australian Journal of Political Science, Dale and Goldfinch present ‘standard’ journal-based publication and citation rankings of Australasian political science departments designed to complement what they characterise as the multidisciplinary, historical, qualitative and humanistic political science of the region. However, the ‘highly cited’ articles in their top-ranked political science department belong to quantitative psychology. Through unravelling why their study favours the opposite of that which it was meant to detect, this paper alerts political scientists to the hidden perils of accepting ‘standard’ Institute of Scientific Information-based approaches to citation counting as valid measures of research ‘quality’. It exposes the veiled bibliometric assumption that the ‘best’ social science is quantitative research, notes that incongruous citation scores may inform the distribution of block funding and departmental appointment processes, and warns against using ‘standard’ data to unintentionally self-police the future shape of Australasian political science.     

Time for tools: A review on geospatial tools and their role in co-management

The overall goal of this study was to conduct an extensive literature review to characterize how geospatial tools are being applied in co-management contexts globally. This was accomplished through two objectives: (i) to investigate the use and applications of geospatial tools in cases of natural resource co-management; and (ii) to identify benefits and challenges associated with the use of these technologies. A total of 26 articles met the inclusion criteria for review; these encompassed a range of contexts, but were predominantly focused on co-management of fisheries, protected areas, and forests. Case studies were analyzed through the lens of four tool-based categories: participatory mapping, spatial data collection, remote sensing, and modelling. Findings suggest a wide range of applications, demonstrating the versatility of these tools including those used to measure the efficacy of co-management. Frequently cited geospatial tool benefits included identifying space-use patterns, determining the state of resources, capacity building, and monitoring change over time. Challenges with geospatial tools included issues of scale and generalization, data uncertainty, incomplete or poor data, and lack of trust. A primary conclusion from this study is that geospatial tools tend to be used in a participatory fashion, thereby contributing to key elements of co-management such as trust building and knowledge co-production.     

Subaltern Empowerment in the Geoweb: Tensions between Publicity and Privacy

Geographers have argued that the emergence of the geospatial web, or geoweb, represents a radical shift away from the state's monopolization of geospatial technologies. Like the public participation geographic information systems (PPGIS) movement before it, the geoweb research agenda has emphasized a desire for empowerment and participatory democracy. However, this research agenda has also inherited a conceptualization of power that emphasizes the linkages between empowerment and public visibility, and this paper argues that this inheritance opens potentially sensitive geoweb data to exploitation. Geographers therefore have an important role to play in emphasizing the need to explore ways of harnessing the power of the geoweb for marginalized communities while nonetheless maintaining those communities' privacy. This paper uses work with the Maijuna indigenous people of Peru as a case study to begin a discussion about how the political goals of disempowered people may be best obtained through both public and private uses of the geoweb.     

Geography and geographic information science: An evolving relationship

GISystems have strong and longstanding roots in Geography, stemming from early developments in the 1960s and 1970s that defined a first phase of their relationship. But as the uses and sophistication of geospatial technology have grown and spread across virtually all areas of the academy, reducing Geography's claim to ownership, that relationship to Geography has evolved in new directions, forming a second phase. The critiques of the early 1990s have led to research into the societal context and social implications of GISystems that remains largely centred in Geography; techniques for the analysis of data embedded in space and time remain strongly associated with Geography; and rigorous principles have been discovered under the umbrella of GIScience that are widely recognized within and outside Geography. Today the relationship has entered a third phase, defined by the new opportunities that are being created by the growth of data science, by new sensors, and by new areas of application, suggesting that the relationship between Geography and GIScience will continue to evolve in interesting and exciting ways.     

Multiple pathways across past landscapes: circuit theory as a complementary geospatial method to least cost path for modeling past movement

The incorporation of geospatial technologies in archaeology has resulted in productive advances in the analysis of past behavioral processes. Archaeologists have relied on the Geographic Information Systems (GIS) application of cost surface analysis and the computation of least cost paths (LCP) to study movement, one key social process. Recent research has identified limitations with LCP for modeling nonhuman species movement, notably the inability of LCP to accommodate multiple pathways. Archaeology must consider the implications of these critiques for models of past human movement. In this paper, I apply a different approach, circuit theory modeling, enacted through the program Circuitscape, to an archaeological case study previously analyzed with LCP modeling, travel to a regionally significant ceremonial earthwork center during Late Prehistory (ca. AD 1200–1600) in the Northern Great Lakes. Through this comparative analysis, I evaluate the advantages and disadvantages of these methods for modeling past movement. The results suggest LCP modeling and circuit modeling offer archaeology complementary geospatial methods for conceptualizing past mobility. Combining circuit theory and LCP allows archaeologists to produce richer models of past movement by appreciating scenarios where multiple pathways are important as well as scenarios where optimum single travel routes have priority.     

Complexity science and human geography

Complexity science has attracted considerable attention in a number of disciplines. However, this perspective on scientific understanding remains ill defined. In this paper, ideas and approaches from complexity science are reviewed. It appears that complexity science fundamentally is driven by ontological decisions on the part of the investigator. This is a result of the epistemological approach fundamental to complexity as it is currently studied, which is based on the construction of computer simulation models of reality. This methodology requires that researchers decide what exists and is important enough to represent in a simulation, and also what to leave out. Although this points to serious difficulties with complexity science, it is argued that the approach nevertheless has much to offer human geography. Drawing on complexity science, renewed engagements between physical and human geography, and between both and geographical information science seem possible, based on clearly shared concerns with the representation of geographical phenomena. In conclusion, it is suggested that seeing models as a source of geographical narratives may be a useful way to promote constructive engagement between different perspectives in the discipline.     

Institutional approaches for building intercultural understanding into the curriculum: an Australian perspective

Australia is one of the most culturally diverse countries in the world. Since World War II, seven million immigrants from more than 150 countries have settled in Australia. Since that time, Federal governmental changes to its policies on immigration has recognized the importance of cultural diversity in its population. Educational institutions have also responded by initiating a variety of strategies and developing curricula aimed at achieving equitable education and social outcomes and promote the acceptance of people from ethnically diverse backgrounds. This paper first examines how Australia has developed policy that has enabled education to become its third largest export market worth more than AUD$18 billion in 2014–2015. It focuses on some of the state and federal government policies that have encouraged the internationalization within the primary, secondary and tertiary education sectors and then gives an overview of some of the institutional strategies and policies that have been implemented at the Royal Melbourne Institute of Technology (RMIT University) at university level and geospatial science undergraduate discipline level. A range of challenges at the governmental, institutional and discipline level faced by those individual academics wishing to incorporate internationalization into their respective curricula are investigated.     

南京市区活动空间总体特征研究——基于大数据的实证分析

大数据"时代的到来,提供了新的研究方法与研究视角。人作为信息化的主体,随着移动信息通信技术的快速发展以及信息通信设备的日益普及,人们在网络中遗留的带有地理空间信息的大规模"痕迹"成为重要的研究数据,并开始被地理学者广泛关注。本文尝试通过借助新浪微博,引入位置服务签到大数据分析南京市区活动空间的总体特征通过与基于城镇人口的空间等级对比研究发现活动空间等级的依赖与极化并指出信息时代下距离的二重作用是导致空间极化的最主要原因。     

Placing GIS in sustainability education

As public awareness about sustainability grows and as higher education advances sustainability more comprehensively, geographers have an opportunity to take a role in sustainability education. This article examines (1) what constitutes sustainability education, (2) how geographic concepts and Geographic Information System (GIS) are relevant to sustainability education, and (3) how geospatial thinking can be incorporated into the sustainability curriculum using GIS. This research proposes five geospatial inquiries that students can make to explore sustainability issues using GIS, which are spatial distribution, spatial interactions, spatial relationships, spatial comparisons, and temporal relationships. Definition, examples, and uses of these five geospatial inquiries supported by GIS are provided.     

The Two Cultures and a World Apart: Archaeology and Science at a New Crossroads

Within the past decade or so, archaeology has increasingly utilised and contributed to major advances in scientific methods when exploring the past. This progress is frequently celebrated as a quantum leap in the possibilities for understanding the archaeological record, opening up hitherto inaccessible dimensions of the past. This article represents a critique of the current consumption of science in archaeology, arguing that the discipline’s grounding in the humanities is at stake, and that the notion of ‘interdisciplinarity’ is becoming distorted with the increasing fetishisation of ‘data’, ‘facts’ and quantitative methods. It is argued that if archaeology is to break free of its self-induced inferiority to and dependence on science, it must revitalise its methodology for asking questions pertinent to the humanities.     

试论旅游学的研究方法

任何一个成熟的理论体系或学科都有与其学科性质和学科内容相适应的研究方法,以作为该理论和学科研究的基本手段和工具。旅游学是一门综合性的边缘学科,根据其学科性质和特点,我们应使用如下研究方法：一是综合法和借鉴法;二是理论与实践相结合的方法;三是定性分析和定量分析相结合的方法。     

Modeling agricultural potential in Chaco Canyon during the Bonito phase: a predictive geospatial approach

This study presents a geospatial analysis of surficial hydrology and geomorphology and their relationship to potential agricultural productivity in order to better understand the economic role of water in Chaco Canyon during the Bonito Phase (ca. AD 850–1150). Defined as the Natural Agricultural Suitability Analysis, the foundation of this study is a hierarchical geospatial analysis that integrates six key natural factors: slope, soil texture, soil depth, non-catastrophic overbank flooding potential, drainage flow length, and drainage proximity and flow potential. These factors are combined through a raster weighted overlay function to generate composite suitability map that offers a testable proxy for variability in relative agricultural potential during the Bonito Phase at Chaco. The rationale for including this set of natural factors is based largely on ethnographic and modern agricultural studies, but the predictive model differs from previous studies of agricultural potential in that it is independent of the specific archaeological distribution of evidence of agriculture in the study area. The results of this analysis suggest that previous models of Chacoan agricultural productivity have underestimated local production capacity. Previous studies have focused solely on floodplain contexts, whereas this study points to a more comprehensive and geographically distributed use of the landscape.     

SEEING SPATIAL STRUCTURES: ON THE ROLE OF VISUAL MATERIAL IN THE MAKING OF THE EARLY QUANTITATIVE REVOLUTION IN GEOGRAPHY

This article examines the role that visual material played in the early years of the quantitative revolution in Anglophone geography. It is part of a larger project that attempts to write a history of geography's scopic regimes in the twentieth century and draws on post‐positivist approaches to the history of science. It is argued that there are a number of strategic as well as theoretical reasons for such a reliance on images in the quantitative revolution. Some reasons are unique to the quantitative revolution in geography, some resemble a more general way in which paradigm shifts take place in science and some are located outside of academia. This article is primarily interested in the internal view on the geography of the quantitative revolution and its rationalities. The paper departs from Christaller's hexagon, as one of the most influential and iconic. It then broadens the view to include a much wider range of visual material, arguing for some more general observations on the use of images in geography during the early quantitative revolution. It is argued that there was a significant shift of forms and functions of visual material. Overall, it is argued, visual material gained in importance and while geography was getting “thinner” and more abstract, its role in making visual arguments became stronger. From being merely an aid for seeing, visual material became a prime carrier of knowledge.     

‘There is no better way to study science than to collect and analyse data in your own yard’: outdoor classrooms and primary school children in Bangladesh

ABSTRACT

The design and use of outdoor spaces for primary school teaching and learning has been given little consideration in the present context. The existing evidence base is mostly from western perspectives. In this study, an outdoor classroom was designed and built in a primary school in Bangladesh and used to teach children (n?=?30) their science curriculum. Multiple methods were used to investigate the impact of the outdoor classroom on students’ learning and engagement, including achievement tests, a questionnaire and focus groups with children and teachers. Children’s science scores were significantly higher after they had been taught outdoors, compared to indoors. Physical qualities of their outdoor classroom (lighting, acoustics, seating), in addition to greater enjoyment and active participation in learning likely explained improved attainment. Qualitative insights from children and teachers supported the quantitative findings. These results provide empirical support for building outdoor classrooms as an effective environment for teaching and learning.     

Rediscovering regional science: Positioning the field's evolving location in science and society

This study aims to provide a comprehensive examination of the evolution of regional science, a scholarly domain in the social sciences that applies analytical and quantitative approaches and methods to understand and address urban, rural, or regional problems. We conducted a bibliometric analysis of 8509 articles published in six regional science flagship journals (including the Journal of Regional Science, Annals of Regional Science, Regional Science and Urban Economics, Papers in Regional Science, Regional Science Policy and Practice, and International Regional Science Review) from 1958 to 2021. The analysis presents an objective data-driven and unprecedented visualization of the field's intellectual, social, and conceptual structure and trends from the beginning to the present. It also provides a rich portrayal of the epistemology of regional science and illuminates matters related to regional science education and training. We find that regional science has moved well beyond its origins, shifting away from a heavy focus on theory and abstraction to modeling/simulation, empirical analysis, and policy research. We also find that there has been increasing attention to “people” in regions and the spatial characteristics of social problems, and some important shifts in the regional science community itself, particularly in terms of patterns of collaboration and the geography of scholarship. The findings of this paper provide implications for future directions of research and education for regional science.     

Navigating the Fault Lines: Race and Class in Philadelphia's Solidarity Economy

In debates over post‐capitalist politics, growing attention has been paid to the solidarity economy (SE), a framework that draws together diverse practices ranging from co‐ops to community gardens. Despite proponents’ commitment to inclusion, racial and class divides suffuse the SE movement. Using qualitative fieldwork and an original SE dataset, this article examines the geospatial composition of the SE within the segregated geography of Philadelphia. We find that though the SE as a whole is widely distributed across the city, it is, with the exception of community gardens, largely absent from poor neighborhoods of color. We also identify SE clusters in racially and economically diverse border areas rather than in predominantly affluent White neighborhoods. Such findings complicate claims about the SE's emancipatory potential and underscore the need for its realignment towards people of color and the poor. We conclude with examples of how the SE might more fully address racial injustice.