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The purpose of this paper is to explore motivations for libraries to build location aware services.

The paper examines various techniques for generating geo‐referenced metadata, including converting placenames to coordinates and using entity extraction to discover places in unstructured text, such as abstracts. It describes several prototype services developed, which deliver geo‐referenced data in different ways – as search results overlaid onto a map, as location specific data delivered to location aware mobile devices just in time, and as raw structured metadata supplied by web services, which could be combined with other data sets in support of e‐science.

Although library metadata standards can accommodate location, catalogers rarely provide location information related to the content of the intellectual product. Entity extraction services can find location information in free text contents, such as abstracts, and even provide the appropriate coordinates for the identified places, thus enabling geo‐referenced browsing and searching of metadata. Libraries should consider multiple strategies for delivering these data, to maximize its utility for end users. Just‐in‐time information retrieval is rarely used in library systems, but is an essential technique for mobile location‐based information services.

The paper describes several distinct ways in which location‐based information services can be delivered to end users. It also examines techniques for enhancing bibliographic metadata with location information.

The National Archives (TNA) is the UK Government's official archive. It stores and maintains records spanning over a 1,000 years in both physical and digital form. Much of the information held by TNA includes references to place and frequently user queries to TNA's online catalogue involve searches for location. The purpose of this paper is to illustrate how TNA have extracted the geographic references in their historic data to improve access to the archives.

To be able to quickly enhance the existing archival data with geographic information, existing technologies from Natural Language Processing (NLP) and Geographical Information Retrieval (GIR) have been utilised and adapted to historical archives.

Enhancing the archival records with geographic information has enabled TNA to quickly develop a number of case studies highlighting how geographic information can improve access to large‐scale archival collections. The use of existing methods from the GIR domain and technologies, such as OpenLayers, enabled one to quickly implement this process in a way that is easily transferable to other institutions.

The methods and technologies described in this paper can be adapted, by other archives, to similarly enhance access to their historic data. Also the data‐sharing methods described can be used to enable the integration of knowledge held at different archival institutions.

Place is one of the core dimensions for TNA's archival data. Many of the records which are held make reference to place data (wills, legislation, court cases), and approximately one fifth of users' searches involve place names. However, there are still a number of open questions regarding the adaptation of existing GIR methods to the history domain. This paper presents an overview over available GIR methods and the challenges in applying them to historical data.

Photographs are primary source documents that, like manuscripts and printed documents, carry layers of embedded information. As an example of a research strategy that can be used to study the time, place, and context of the development of early photographic businesses in America, a project to research and geo-reference the early photographic studios in New York City using information culled from imprints, census records, city directories, and other period sources is described. This case study example will focus on analyzing photographs and photographers operating in New York City and Brooklyn from the birth of popular photography in the 1840s to ca 1870s, and what researchers can learn about the development of the urban environments during this era. The study will provide an example of a research trajectory, brief background on the processes and early photographic business development, and note some of the research challenges that arise using historic photographs to study urban environments.

This paper aims to improve post‐earthquake reconnaissance (PER) and online sharing of scientific and engineering information from earthquakes and natural disasters by taking full advantage of recent advances in information technologies, global positioning systems (GPS) and digital cameras.

Based on more than ten years of experience, this paper reviews the evolution of post‐earthquake reconnaissance after earthquakes in Japan, Turkey, Taiwan, India and China. In the anticipation of an explosion of information in this field, it proposes virtual earthquakes as a means to organise information collected from the metadata embedded in digital pictures.

Post‐earthquake reconnaissance has improved our knowledge of earthquakes in engineering and science. It has rapidly evolved with advances in GPS, digital cameras and web technologies. PER should now exploit the benefits of metadata embedded in photos. By attaching information to photo files, embedded metadata have the potential of automating and scaling up PER dataflow. Embedded metadata may lay the foundation of virtual earthquakes and involve the public in collecting scientific and engineering data.

The paper introduces the use of embedded metadata in the field of post‐earthquake reconnaissance for sharing of scientific and engineering data. The paper also contributes to building virtual earthquakes for visualising and understanding earthquake damage and other disasters affecting people and the built environment.

We study research designs where a binary treatment changes discontinuously at the border between administrative units such as states, counties, or municipalities, creating a treated and a control area. This type of geographically discontinuous treatment assignment can be analyzed in a standard regression discontinuity (RD) framework if the exact geographic location of each unit in the dataset is known. Such data, however, is often unavailable due to privacy considerations or measurement limitations. In the absence of geo-referenced individual-level data, two scenarios can arise depending on what kind of geographic information is available. If researchers have information about each observation’s location within aggregate but small geographic units, a modified RD framework can be applied, where the running variable is treated as discrete instead of continuous. If researchers lack this type of information and instead only have access to the location of units within coarse aggregate geographic units that are too large to be considered in an RD framework, the available coarse geographic information can be used to create a band or buffer around the border, only including in the analysis observations that fall within this band. We characterize each scenario, and also discuss several methodological challenges that are common to all research designs based on geographically discontinuous treatment assignments. We illustrate these issues with an original geographic application that studies the effect of introducing copayments for the use of the Children’s Health Insurance Program in the United States, focusing on the border between Illinois and Wisconsin.

The purpose of this paper is to present an exploratory study which aims to assess the potential use of 3D mapping of buildings and construction sites using unmanned aerial system (UAS) imagery for supporting the construction management tasks.

The case studies were performed in two different residential construction projects. The equipment used was a quadcopter equipped with digital camera and GPS that allow for the registry of geo-referenced images. The Pix4D Mapper and PhotoScan software were used to generate the 3D models. The study sought to examine three main constructs related to the 3D mapping developed: the easiness of development, the quality of the models in accordance with the proposed use and the usefulness and limitations of the mapping for construction management purposes.

The main contributions of this study include a better understanding of the development process of 3D mapping from UAS imagery, the potential uses of this mapping for construction management and the identification of barriers and benefits related to the application of these emerging technologies for the construction industry.

The importance of the study is related to the initiative to identify and evaluate the potential use of 3D mapping from UAS imagery, which can provide a 3D view of the construction site from different perspectives, for construction management tasks applications, trying to bring positive contributions to this knowledge area.

The purpose of this paper is to study an articulated warning system that provides information about the heritage at risk and encourages a dialogue between the heritage sector, civil defense agencies and local communities.

The databases from the National Heritage Institute, National Civil Defense, National Geological Service and National Early Warning System were investigated and the local community provided input which helped form a participatory risk mapping strategy for a warning system in the heritage sector.

There is little knowledge of the Brazilian heritage that is at risk and a lack of coordination between the cultural heritage and DRR sectors. This means that there is a need to organize the geo-referenced databases so that information can be shared and the public provided with broader access. As a result, there can be a greater production, dissemination and application of knowledge to help protect the cultural heritage.

The findings can be included in the debate about the importance of framing disaster risk management (DRM) policies in the Brazilian heritage sector.

The findings and maps of the case study in the town of São Luiz do Paraitinga involve the heritage sector, civil defense agencies and local people and can be used for disaster risk preparedness.

A DRM program is being formulated in Brazil. However, the kind of strategy needed to incorporate the heritage sector in this program stills needs to be planned, and the knowledge of the cultural heritage at risk is a key factor when faced with this new social and scientific challenge.

Digital twin (DT) and building information modeling (BIM) are interconnected in some ways. However, there has been some misconception about how DT differs from BIM. As a result, industry professionals reject DT even in BIM-based construction projects due to reluctance to innovate. Furthermore, researchers have repeatedly developed tools and techniques with the same goals using DT and BIM to assist practitioners in construction projects. Therefore, this study aims to assist industry professionals and researchers in understanding the relationship between DT and BIM and synthesize existing works on DT and BIM.

A systematic review was conducted on published articles related to DT and BIM. A total record of 54 journal articles were identified and analyzed.

The analysis of the selected journal articles revealed four types of relationships between DT and BIM: BIM is a subset of DT, DT is a subset of BIM, BIM is DT, and no relationship between BIM and DT. The existing research on DT and BIM in construction projects targets improvements in five areas: planning, design, construction, operations and maintenance, and decommissioning. In addition, several areas have emerged, such as developing geo-referencing approaches for infrastructure projects, applying the proposed methodology to other construction geometries and creating 3D visualization using color schemes.

This study contributed to the existing body of knowledge by overviewing existing research related to DT and BIM in construction projects. Also, it reveals research gaps in the body of knowledge to point out directions for future research.

The purpose of this paper is to present a computational approach and a toolset to infer spatial displacements as they occur in route narrative documents and report on first experiments done to produce computer‐aided learning (CAL) applications and instructional design editors that exploit the inferred georeferenced itineraries.

Identification of the structure of natural language expressions to indicate spatial displacement, as they occur in route narrative documents. Use of geographic information systems technology to treat the semantics of spatial displacements identified in route narrative documents.

It was found that French route narratives can be linguistically analyzed with a relatively simple structure (two computational models). Transducers are used to successfully analyze displacements verbs and to attach some semantics to paragraphs of route narratives.

The same structure valid for French texts can be found in English texts as well. Further work could lead to fundamental questions about whether itineraries are linguistic universals.

The toolset is fully functional and can be tested on the World Wide Web for information retrieval purposes. Currently it is used for CAL applications to tutor learners in the process of reading route narratives documents.

The paper demonstrates that the featured computational models and toolset are mature enough to be embedded in end‐user applications.

The consequences of civil war have been widely analyzed. However, one of its important effects, the human cost of the conflict, remains marginally investigated. Indeed, most of recent literature has focused on the numbers of dead and wounded, while little scope has been given to survivors’ health. Given that the survivors are those who bear the burden of reconstruction, it is crucial to evaluate the health costs of civil conflict to develop and implement proper economic policies. This chapter is an attempt in this direction.

The aim is to assess the impact of the Mozambican Civil War on the long-term health of adult women, measured in terms of their height-for-age z-score (HAZ). Toward this end, two sets of data are used: the household survey data derived from Demographic and Health Survey (DHS+ 2003) which provides a set of anthropometric measures combined with an original geo-referenced event dataset of battles and military actions that took place during this war.

I find that women who were exposed to the conflict during the early stages of their lives display weaker health on average than other women, as reflected by their lower HAZ. This negative effect is correlated with age at the time of exposure to the civil war.

Furthermore, this chapter indicates that the use of the medical concept of infancy–childhood–puberty curves is a suitable tool for estimating the impact of age of entry into the conflict and provides some evidence of the channels through which health is affected by civil conflicts.