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The purpose of this paper is to create a longitudinal data-driven model of change over time in a postindustrial landscape, using the “Copper Country” of Michigan’s Upper Peninsula as a case study. The models resulting from this project will support the heritage management and public education goals of the contemporary communities and Keweenaw National Historical Park that administer this nationally significant mining region through accessible, engaging, and interpretable digital heritage.

The paper applies Esri’s CityEngine procedural modeling software to an existing historical big data set. The Copper Country Historical Spatial Data Infrastructure, previously created by the HESA lab, contains over 120,000 spatiotemporally specific building footprints and other built environment variables. This project constructed a pair of 3D digital landscapes comparing the built environments of 1917 and 1949, reflecting the formal and functional evolution of several of the most important copper mining, milling, and smelting districts of Michigan’s Keweenaw Peninsula.

This research discovered that CityEngine, while intended for rapid 3D modeling of the contemporary urban landscape, was sufficiently robust and flexible to be applied to modeling serial historic industrial landscapes. While this novel application required some additional coding and finish work, by harnessing this software to existing big data sets, 48,000 individual buildings were rapidly visualized using several key variables.

This paper presents a new and useful application of an existing 3D modeling software, helping to further illuminate and inform the management and conservation of the rich heritage of this still-evolving postindustrial landscape.

The purpose of this paper is to propose a way of using already existing archival resources in the geographic information system (GIS).

The essence of the methodology used was to identify semantic relations of archival documents with geographical space and develop their metadata into spatially related metadata, ready to use in GIS and to join geographical names occurring in these metadata with exact places to which they were related to. Research was based on two digital collections from the Library of Contemporary History in Stuttgart on-line service. These collections were related to the First World War and they included metadata prepared in MAB standard.

As the results of the research, two sample metadata sets related to posters and ration coupons were developed. Thesauruses of coordinates of places and regions mentioned in documents metadata in different semantic context were also created. To complete the methodology, the assumptions of the GIS structure and concept of applying metadata in them, have been proposed.

The research also presents limitations in effective implementation of the proposed solutions, which lie mainly in lack of rules and consequences in recording geographical names in metadata.

The value of the proposed solution is easy way of using already existing data in GIS and possibilities of gathering, managing, presenting and analyzing archives with one parameter more than in traditional databases – with spatial information. The added value and an effective use of already collected data lies in the strong recommendation of defining and implementation of rules for recording geographical names in archival documents metadata. This will help in a wide use of collected data in any spatial-based solutions as well as in automation of process of joining archives with geographical space, and finally in dissemination of collected resources.

This article aims to describe how information and communications technology (ICT) has introduced a new approach in the handling of spatial data and related services and how Regione Autonoma della Sardegna, one of the Italian local governments, has been involved in an interesting growth that adopts ICT to provide spatial data and related services to itself and to its territory.

This article considers three aspects data and services interoperability and the implications of spatial data delivered through a multi-channel environment; the use of social web as a platform for volunteered geographical information in the public administration environment; and the application of mobile technologies.

The article represents the summary of recent activities in the Sardinia region and may constitute a paradigmatic example for other realities.

The research and activities conducted represent a point of view advanced and innovative in the field of territorial sciences and spatial planning on a regional scale.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

The purpose of this paper was to develop an integrated framework for assessing the flood risk and climate adaptation capacity of an urban area and its critical infrastructures to help address flood risk management issues and identify climate adaptation strategies.

Using the January 2011 flood in the core suburbs of Brisbane City, Queensland, Australia, various spatial analytical tools (i.e. digital elevation modeling and urban morphological characterization with 3D analysis, spatial analysis with fuzzy logic, proximity analysis, line statistics, quadrat analysis, collect events analysis, spatial autocorrelation techniques with global Moran’s I and local Moran’s I, inverse distance weight method, and hot spot analysis) were implemented to transform and standardize hazard, vulnerability, and exposure indicating variables. The issue on the sufficiency of indicating variables was addressed using the topological cluster analysis of a two-dimension self-organizing neural network (SONN) structured with 100 neurons and trained by 200 epochs. Furthermore, the suitability of flood risk modeling was addressed by aggregating the indicating variables with weighted overlay and modified fuzzy gamma overlay operations using the Bayesian joint conditional probability weights. Variable weights were assigned to address the limitations of normative (equal weights) and deductive (expert judgment) approaches. Applying geographic information system (GIS) and appropriate equations, the flood risk and climate adaptation capacity indices of the study area were calculated and corresponding maps were generated.

The analyses showed that on the average, 36 (approximately 813 ha) and 14 per cent (approximately 316 ha) of the study area were exposed to very high flood risk and low adaptation capacity, respectively. In total, 93 per cent of the study area revealed negative adaptation capacity metrics (i.e. minimum of −23 to <0), which implies that the socio-economic resources in the area are not enough to increase climate resilience of the urban community (i.e. Brisbane City) and its critical infrastructures.

While the framework in this study was obtained through a robust approach, the following are the research limitations and recommended for further examination: analyzing and incorporating the impacts of economic growth; population growth; technological advancement; climate and environmental disturbances; and climate change; and applying the framework in assessing the risks to natural environments such as in agricultural areas, forest protection and production areas, biodiversity conservation areas, natural heritage sites, watersheds or river basins, parks and recreation areas, coastal regions, etc.

This study provides a tool for high level analyses and identifies adaptation strategies to enable urban communities and critical infrastructure industries to better prepare and mitigate future flood events. The disaster risk reduction measures and climate adaptation strategies to increase urban community and critical infrastructure resilience were identified in this study. These include mitigation on areas of low flood risk or very high climate adaptation capacity; mitigation to preparedness on areas of moderate flood risk and high climate adaptation capacity; mitigation to response on areas of high flood risk and moderate climate adaptation capacity; and mitigation to recovery on areas of very high flood risk and low climate adaptation capacity. The implications of integrating disaster risk reduction and climate adaptation strategies were further examined.

The newly developed spatially explicit analytical technique, identified in this study as the Flood Risk-Adaptation Capacity Index-Adaptation Strategies (FRACIAS) Linkage/Integrated Model, allows the integration of flood risk and climate adaptation assessments which had been treated separately in the past. By applying the FRACIAS linkage/integrated model in the context of flood risk and climate adaptation capacity assessments, the authors established a framework for enhancing measures and adaptation strategies to increase urban community and critical infrastructure resilience to flood risk and climate-related events.

Comprehensive urban management (CUM), with specified philosophical and technical limits, can address the negative consequences of the interrelationship between increasing urban poor population, spatial expansion of squalor and informal settlement on marginalised urban lands, overburdened and old urban infrastructure and increase in frequency and intensity of natural hazards. The research places these four concerns within the urbanisation context of the Kingston Metropolitan Region (KMR) in Jamaica, where their expressions are related to the lack of effective urban management and planning. The research uses a mixture of secondary information, from a myriad of public and private institutions and field surveys in the forms of observations and questionnaires. The cause and effects interrelationship between the factors are presented in a problem tree and analysed and discussed against known facts and theoretical posits. The paper aims to discuss these issues.

The research draws from a litany of document analysis, qualitative research as well as pre-coded questionnaires, field research and expert interviews and discussions with urban managers. Information and data selected from state and quasi-state agencies also proved valuable. Additionally, other relevant materials were sourced from the published domain including publications, journal articles, newspapers, textbooks and internet (online professional group discussions), etc.

Increase in urban poor over the last ten years increase in squalor settlements on marginal urban lands. Urban infrastructure is old and overburdened. Natural hazards are on the increase and are associated with negative demographic and social dynamics. Development plan and planning is lacking in the KMR. Urban management roles and responsibilities are not clearly defined. There are gaps and overlaps in roles and legislations. CUM needs redefinition for it to be effective in solving this relationship. Limits can be set for defining comprehensive urban planning.

Space to explore more the relationship and evidences of the factor under investigation to their fullest extent.

Investments in urban infrastructure and other built environment and physical structures in important for urban resilience to hazards. Non-traditional countries and agencies are good source of financial and technical support for developing countries to improve their urban and national physical and social infrastructure. Urban land management and administration are crucial or urban spatial planning and land use.

The four factors under investigation, even though they are not novel in their individual treatment, are however original in the context of assessing their interrelationship and moreover their relationship with CUM. A redefinition of CUM is attempted to give stated criticisms of its past failures. The application to Jamaica and its potential application to other small island developing states are unique.

This paper aims to explore the involvement of various actors in the preparation of Palu City's spatial plan before the multi-hazard events of 2018. In addition, it evaluates the extent to which disaster risk reduction (DRR) is mainstreamed in the spatial plan.

The study uses qualitative methods of analysis with a risk-based planning approach and stakeholder analysis.

It is critical that DRR is mainstreamed in spatial planning from the preparation to the implementation. Disasters can take place when there is a knowledge gap in the planning process. This results in developments in disaster-prone areas and even in high-risk areas. Therefore, mainstreaming DRR into spatial planning requires national guidelines that offer planners at the local level clear and detailed guidance on what they must prepare, consider and do in a risk-based spatial planning process.

Spatial planning that does not mainstream DRR can lead to catastrophic consequences in the form of casualties and losses when multi-hazards occur.

The study provides evidence-based findings on the importance of mainstreaming DRR into spatial planning, particularly in areas prone to multi-hazards, which can be optimized through a risk-based planning approach.

The Wales Institute of Social and Economic Research, Data and Methods (WISERD) is a major new collaborative socio‐economic research programme involving five higher education institutions in Wales. This paper introduces the work of the WISERD data integration team and describes their plans for the development of an online geo‐portal. Their aim is to support WISERD researchers by providing a framework for integrating, managing and disseminating quantitative and qualitative socio‐economic data in Wales. This paper outlines the goals of this major project, discusses the concept of the WISERD geo‐portal and reports on initial investigations into geo‐portal development using free and open‐source (FOSS) software. The paper concludes with a brief summary of the future work of the WISERD data integration team.

The aim of this paper is to determine the scope and content for a holistic conservation and development strategies in the case of Gaziantep Rumkale. This approach seeks an answer to the question of “How can Rumkale archaeological heritage be preserved with their original values and passed on to future generations?”

The materials of the paper are based on field research and written and visual resource. The paper has been handled with a four-step method setup. The first stage is to examine the spatial and functional background of Rumkale and its immediate surroundings based on the historical development process. The second stage is to evaluate the upper- and lower-scale planning experiences of the heritage site. The third stage of the research methodology is strengths, weaknesses, opportunities, and threats (SWOT) analysis. The fourth stage is the creation of cultural heritage conservation-development strategies that define strategies for the protection and development of archaeological heritage in the context of sustainability.

The paper emphasizes the development of a holistic perspective that theoretically deals with the archaeological heritage sites of Rumkale together with the surrounding rural areas. In this context, the paper suggests ecological, spatial, socio-cultural, economic and institutional protection development strategies for the Rumkale archaeological site together with the surrounding rural areas for their delivery to future generations.

Although the area has an important cultural heritage value for different religions and cultures, it has not been subject to sufficient scientific research. The paper develops a holistic approach by considering Rumkale and its surroundings together.

This paper critically analysed 195 articles with the objectives of providing a clear understanding of the current City Information Modelling (CIM) implementations, identifying the main challenges hampering the uptake of CIM and providing recommendations for the future development of CIM.

This paper adopts the PRISMA method in order to perform the systematic literature review.

The results identified nine domains of CIM implementation including (1) natural disaster management, (2) urban building energy modelling, (3) urban facility management, (4) urban infrastructure management, (5) land administration systems, (6) improvement of urban microclimates, (7) development of digital twin and smart cities, (8) improvement of social engagement and (9) urban landscaping design. Further, eight challenges were identified that hinder the widespread employment of CIM including (1) reluctance towards CIM application, (2) data quality, (3) computing resources and storage inefficiency, (4) data integration between BIM and GIS and interoperability, (5) establishing a standardised workflow for CIM implementation, (6) synergy between all parties involved, (7) cybersecurity and intellectual property and (8) data management.

This is the first paper of its kind that provides a holistic understanding of the current implementation of CIM. The outcomes will benefit multiple target groups. First, urban planners and designers will be supplied with a status-quo understanding of CIM implementations. Second, this research introduces possibilities of CIM deployment for the governance of cities; hence the outcomes can be useful for policymakers. Lastly, the scientific community can use the findings of this study as a reference point to gain a comprehensive understanding of the field and contribute to the future development of CIM.