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The Ba River catchment and delta on the island of Viti Levu, Fiji, supports a wealth of livelihoods and is populated by diverse communities who are living with an increased frequency and intensity of hydro-meteorological hazards (floods, cyclones and droughts). Participatory mapping as part of focus group discussions is a tool that can be used to elucidate communities’ understanding of the differing impacts of multiple hazards, as well as the strategies used to prepare and respond to different hazards. In this chapter, the authors present the results of qualitative research undertaken with members of three communities along the Ba River, from the Nausori highlands to the coastal mangroves, with a particular focus on recent floods (2009, 2012) and Tropical Cyclone Winston (2016). The communities draw on a wide range of livelihood strategies from fishing and agriculture to tourism and outside work. Natural hazard events vary in their impact on these livelihood strategies across the landscape and seascape, so that community members can adjust their activities accordingly. The temporal ‘signatures’ of ongoing impacts are also variable across communities and resources. The results suggest that taking a broad, landscape (and seascape) approach to understanding how communities draw livelihoods is valuable in informing effective and inclusive adaptation strategies for environmental change. Furthermore, documenting how the landscape is used in a mapped output may be a valuable tool for future social impact assessment for resource extraction activities.

Making a classroom a space that can become a place of lively discussion and interaction is a goal of many instructors, but it can be challenging to assess the extent to which classroom engagement is resulting in meaningful participation. The use of an assessment tool called classroom mapping provides a way to trace and analyze students’ interaction, performance, and involvement in a class. It maps discussions and shows feedback on what is going on; including who is talking, for how long, what subjects and instructional strategies engage which students, and what kinds of connections are being made with the students and the instructors. This chapter considers the broader implications of using technology to elevate classroom mapping from formative assessment to potential learning analytic, with particular attention to the practical, pedagogical and ethical implications of recording and mapping how students engage in their classes.

This paper aims to describe the major causes of massive destruction due to floods in developing countries and to elaborate the usefulness of flood hazard maps under the framework of community‐based flood management.

This paper elaborates the usefulness of flood hazard maps and their application.

It is a clear perception that flood risk management cannot be treated in isolation – rather it should be a part of community development. In this context, it is essential to build a community's capacity to understand their vulnerabilities, strategies, activities and the role they could play in managing flood risks without relying on external entities. Therefore the proposed community‐based flood hazard‐mapping technique can be a good solution for addressing current issues. The approach will not only focus on the effective development and application of FHM but also it will correct the defects of the top‐down approach in disaster planning and also encourage all stakeholders' participation in an integrated and sustainable manner.

Based on the findings, it is strongly recommended that agencies should adhere and incorporate the idea while developing programs and projects for communities. In addition, It is simple to understand and easy to implement by the community.

It is hoped that the idea will be beneficial and a catalyst to promote a community's response for flood disaster management in developing countries, thereby helping agencies to develop an operational strategy in advance.

Tourism is an important economic activity, and a significant contributor to employment, growth and sustainable development for most of the predominantly small island developing states of the Caribbean. Community-based tourism, given its intuitively natural alignment with the interests and greater inclusiveness of local actors and communities, is considered to be an important contributor to sustainable tourism. This study aims to evaluate the potential for digital technologies to amplify the distinctiveness, enhance service delivery and ultimately contribute to the sustainability of community tourism contexts.

The research uses a form of participatory action research that involves active collaboration between researchers and practitioners. The authors propose a framework approach for implementing smart community initiatives within a community tourism context.

The human-centered, participatory framework approach described in this research can help to empower community tourism by providing increased visibility and enhanced service delivery for small operators. These outcomes can become important contributions to enhancing inclusive and sustainable development and capacity for participatory, integrated and sustainable local communities – a key outcome for sustainable development goal 11 – sustainable cities and communities.

The research is ongoing with the value outcomes still emerging. The empirical domain is confined to a single geographical context, so the findings and insights may not be generalizable.

Beyond the emerging research insights, the project produced specific digital artifacts such as geospatial data and technology platforms; and process outcomes such as training, capacity-building and empowerment of community members. In particular, youth trained to create and maintain the digital infrastructure (community mapping) provide an important local capability that can be re-purposed for other types of field-based data collection activities, thus providing alternative economic opportunities.

The map-based information and digital content are localized to a specific geographical context, using data mapped by local actors, who possess the best local knowledge about what the community has to offer. The approach and supporting technologies can be readily replicated into other communities.

Community asset mapping (CAM) is an evidence-based activity commonly used in local socioeconomic development initiatives. Residents and other stakeholders collaboratively identify the resources that they deem most important to the vitality of their community. Results are depicted qualitatively using maps. While maps are a useful means to convey information, alternate approaches to summarize data drawn from CAM activities may yield additional inferences that better inform community development initiatives.

This study conducted a retrospective analysis of secondary, de-identified data collected from the 2015–2016 Gonzaga University Logan Neighborhood Asset Mapping Project. Hierarchical and nonhierarchical cluster analyses were used to establish interrelationships between the perceived importance of various community assets.

The hierarchical cluster analysis revealed a very intuitive hierarchical clustering of community assets, with various health care services tightly clustered together. Similarly, farmers’ markets, community gardens and meeting spaces were clustered closely together. Third, community education and care services for all age groups were clustered together. The nonhierarchical cluster analysis revealed intuitive clustering of respondent groups who valued particular sets of assets.

By identifying these clusters and characterizing the linkages between them, it is possible to fund multiple development initiatives that are mutually reinforcing. For example, if the neighborhood obtains funds to invest, then they could be used to facilitate both community gardens and farmers’ markets, two closely related activities. Additional physical locations might also be developed to support (possibly outdoor) meeting space.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2020-0206.

Currently held views and policies commonly suggest that community participation in the development of physical infrastructure is primarily exercised to encourage local ownership and generate local livelihoods. This article draws on the experience of recent primary education building programmes in India using cost-effective construction technologies to observe that the involvement of users in the delivery, maintenance and management of community assets is above all a pre-condition for the fulfilment of the globally agreed development targets. This conceptual distinction provides an experienced reason for any provider to seek an active partnership with the user community and appreciate their grass-roots realities, assets and resources. The article then provides observations from recent fieldwork in India to argue that a realistic mapping of community resources will help to redefine widely accepted development targets for community assets as well as identifying capacity building measures to streamline the delivery and management of community infrastructure.

The purpose of this paper is to visualize the collaboration network among regions in library science (LS) in China. Using various methods and tools of social network analysis and geographical visualization, results were obtained, showing the structure and patterns of research collaborations in topological and geographical views, as well as the geographical distributions of contribution.

The sample includes all studies published in the top journal in library science in China from 2006 to 2015. First, co-occurrence data representing collaborations among regions was extracted from author affiliations. Second, the topological network of collaboration was generated by applying social network analysis tools and descriptive statistics, network indicators of the collaboration network and research communities were calculated. Third, the topological network was projected into a geographical map with corresponding coordinates and distances using geographical tools. Finally, the topological network maps and the geographical maps were produced for visualization.

The levels of contribution are very unbalanced between regions, and overall research collaboration is low. Beijing, Hubei and several other areas are central and significant regions in China; other regions are mostly connected with central ones through direct collaborations. Research collaborations in LS research in China are mostly distributed in the east and south of China, being centralized in the “Beijing–Hubei–Shanghai” triangle zone, as well as within the triangle’s extending zones. Finally, there are three distinct research communities that connect closely within themselves and loosely between them. The Beijing community is relatively centralized in geography, while other communities are scattered.

This study applied various methods and tools of social network analysis and geographical mapping analysis to reveal the collaboration structure and patterns among regions in LS research in China. Visualized maps in topological and geographical views help shed new light on research efforts.

This qualitative study explores how discursive power shapes South Carolina lesbian, gay, bisexual, transgender, queer, intersex and asexual (LGBTQIA+) communities' health information practices and how participants resist this power.

In total, 28 LGBTQIA+ community leaders from South Carolina engaged in semi-structured interviews and information world mapping–a participatory arts-based elicitation technique–to capture the context underlying how they and their communities create, seek, use and share health information. We focus on the information world maps for this paper, employing situational analysis–a discourse analytic method for visual data–to analyze them.

Six themes emerged describing how discursive power operates both within and outside of LGBTQIA+ communities: (1) producing absence, (2) providing unwanted information, (3) commoditizing LGBTQIA+ communities, (4) condensing LGBTQIA+ people into monoliths; (5) establishing the community's normative role in information practices; (6) applying assimilationist and metronormative discourses to information sources. This power negates people's information practices with less dominant LGBTQIA+ identities and marginalized intersectional identities across locations such as race and class. Participants resisted discursive power within their maps via the following tactics: (1) (re)appropriating discourses and (2) imagining new information worlds.

This study captures the perspectives of an understudied population–LGBTQIA+ persons from the American South–about a critical topic–their health–and frames these perspectives and topics within an informational context. Our use of information world mapping and situational analysis offers a unique and still underutilized set of qualitative methods within information science research.

The identification of network user relationship in Fancircle contributes to quantifying the violence index of user text, mining the internal correlation of network behaviors among users, which provides necessary data support for the construction of knowledge graph.

A correlation identification method based on sentiment analysis (CRDM-SA) is put forward by extracting user semantic information, as well as introducing violent sentiment membership. To be specific, the topic of the implementation of topology mapping in the community can be obtained based on self-built field of violent sentiment dictionary (VSD) by extracting user text information. Afterward, the violence index of the user text is calculated to quantify the fuzzy sentiment representation between the user and the topic. Finally, the multi-granularity violence association rules mining of user text is realized by constructing violence fuzzy concept lattice.

It is helpful to reveal the internal relationship of online violence under complex network environment. In that case, the sentiment dependence of users can be characterized from a granular perspective.

The membership degree of violent sentiment into user relationship recognition in Fancircle community is introduced, and a text sentiment association recognition method based on VSD is proposed. By calculating the value of violent sentiment in the user text, the annotation of violent sentiment in the topic dimension of the text is achieved, and the partial order relation between fuzzy concepts of violence under the effective confidence threshold is utilized to obtain the association relation.

Mapping and Geographic Information Systems (GIS) are widely used in disaster research and practice. While, in some cases, these practices incorporate methods inspired by critical cartography and critical GIS, they rarely engage with the theoretical discussions that animate those fields.

In this commentary, the author considers three such discussions, and draws out their relevance for disaster studies: the turn towards processual cartographies, political economy analysis of datafication and calls for theorising computing of and from the South.

The review highlights how these discussions can contribute to the work of scholars engaged in mapping for disaster risk management and research. First, it can counter the taken-for-granted nature of disaster-related maps, and encourage debate about how such maps are produced, used and circulated. Second, it can foster a reflexive attitude towards the urge to quantify and map disasters. Third, it can help to rethink the role of digital technologies with respect to ongoing conversations on the need to decolonise disaster studies.

The paper aims to familiarise disaster studies scholars with literature that has received relatively little attention in this field and, by doing so, contribute to a repoliticisation of disaster-related maps.