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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.

The purpose of this paper is to describe the development of a knowledgebase supporting a prototype Europe‐wide time‐spatial search interface for historical resources. It discusses how this structure could be used to access other types of digital heritage content.

By using a relational database with spatial capabilities, a multi‐lingual search structure has been created which supports a temporal map and a facetted browser, collaborative facilities and a heritage resource viewer, with links to online catalogues.

Combining data from three states with very different histories identified the strengths and weaknesses of the approach. The framework's flexibility means it could easily be re‐purposed to support front ends to other types of cultural content.

Due to the variability in the administrative unit source data, its initial integration required significant manipulation to achieve consistency; however, the benefits of data assimilation ensure the base framework is as efficient as possible.

Usage levels of on‐line cultural resources will be far higher if ordinary users can access them via access routes which have meaning for them, such as by locality/place. Ontology‐based geographical frameworks are much easier to search by place name than are conventional GIS systems, and vastly more accessible to search engines.

This interface demonstrates the potential for integrating data from any number of different national organisations into a single user tool. It also highlights the potential for utilising the underlying structure in multiple contexts.

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 study is to restore the spatial distribution of overseas remittance businesses in Shantou during the 1940s. It explores various socioeconomic factors that influenced the concentration of local remittance business investment in real estate. By reconstructing the spatial distribution of remittance business activities in Shantou, this study hopes to lay a foundation for further analysis of the business strategies of Chaoshan merchants.

This research draws on information from the published Swatow Guide, archival sources and cadastral maps to identify the location of remittance enterprises and the native place and overseas networks of property owners.

This study reveals that the spatial distribution of the remittance enterprises was determined by the native place origins of local property owners, and that the inflow of overseas Chinese capital contributed to real estate development in Shantou.

Despite the limited access to Chinese official archives, this paper manages to identify several building blocks and neighbors in Shantou for spatial analysis.

This study is the first attempt to use the geographical information system (GIS) method in Chinese urban history research and hopes to establish a larger historical database of Shantou as a sample for comparison.

This investigation advances the spatial study of urban history and overseas Chinese remittances in the maritime society of South China.

This article aims to provide an annotated bibliography of some of the geographic information system (GIS) resources, specifically data sets, available to libraries and researchers. Drawing on the collective authors' experience working with the GIS resources, this article aims to help librarians interested in developing and building their GIS collection.

A literature review was performed using library databases, as well as consulting various library subject guides on the topic. Idaho State University is home to the GIS Training and Research Center and the university offers Master's degrees in Geographic Information Science and Historical Resources Management; the authors consulted graduate GIS students on resources used in the program.

There is a large body of literature on GIS. This annotated guide, while not comprehensive, is a solid start to a GIS resources collection.

No other annotated bibliography currently exists for those interested in building a library collection of GIS data sets.

This research underlines the usefulness of Civil Rights Geographic Information Systems (CR-GIS) for understanding the social struggles and assessing the critical needs of the disempowered population of Alabama’s “Black Belt.” The social struggles have been persistent for decades in the Southern states, particularly in Alabama. Researchers have recognized the political and historical root causes and implications for these social struggles. The geographic region of Alabama’s Black Belt is significant because it became the epicenter of the Civil Rights struggle and still represents the vestiges of the social policy known as “Jim Crow.”

Although GIS has a great potential to explore social and political struggles, currently, it is not profoundly associated with Civil Rights studies. This research employs CR-GIS to illustrate the impact of the disfranchisement caused by biased geopolitics in three selected cases/issues: (1) gerrymandering and voting rights, (2) transportation, and (3) poverty in the State of Alabama. While there has been some progress in overcoming the social struggles in the Black Belt, there is a need for qualitative and quantitative analyses to understand persistent social, economic, and Civil Rights struggles in the region. GIS could be a valuable tool to understand and explore the social struggles in the disempowered communities of the “Black Belt” in Alabama. By incorporating the existing information and conducting ground truth studies, this research will lay the basic foundation for extended research by creating a policy template for empowering the disempowered for better social, economic, and political integration in the “Black Belt region.”

This purpose of this paper is to explore the developments which have precipitated the use and integration of geographical information systems (GIS) within the South African Police Services (SAPS).

The paper provides a historical overview of GIS within South Africa, supplemented with the legislative origins of the integration of GIS within policing in South Africa. Various spatial analytic operations that GIS technology affords are highlighted to illustrate the potential that the technology offers to law enforcement agencies in South Africa.

A number of challenges face the full integration of GIS within the day‐to‐day policing operations of the SAPS. Several critical success factors are identified which need to be eminently satisfied before the widespread integration of GIS within the SAPS can be achieved.

GIS is envisaged as a tool to benefit the criminal justice community by playing an important role in the policing and crime prevention process. This paper identifies the major inhibitors to the potential offered by GIS to supplement policing within a South African context.

The purpose of this paper is to describe the procedure for near-automation of the most commonly used manual georeferencing technique in a desktop GIS environment for historic aerial photographs strip in library archives.

Most of the archived historic aerial photography consists of series of aerial photographs that overlap to some extent, as the optimal overlap ratio is known as 60 percent by photogrammetric standard. Therefore, conjugate points can be detected for the overlapping area. The first image was georeferenced manually by six-parameter affine transformation using 2013 National Agriculture Imagery Program images as ground truths. Then, conjugate points were detected in the first and second images using Speeded Up Robust Features and Random Sample Consensus. The ground space coordinates of conjugate points were estimated using the first image’s six parameters. Then the second image’s six parameters were calculated using conjugate points’ ground space coordinates and pixel coordinates in the second image. This procedure was repeated until the last image was georeferenced. However, error accumulated as the number of photographs increased. Therefore, another six-parameter affine transformation was implemented using control points in the first, middle, and last images. Finally, the images were warped using open source GIS tools.

The result shows that historic aerial strip collections can be georeferenced with far less time and labor using the technique proposed compared with the traditional manual georeferencing technique in a desktop GIS environment.

The suggested approach will promote the usage of historic aerial photographs for various scientific purposes including land use and land cover change detection, soil erosion pattern recognition, agricultural practices change analysis, environmental improvement assessment, and natural habitat change detection.

Most commonly used georeferencing procedures for historic aerial photographs in academic libraries require significant time and effort for manual measurement of conjugate points in the object images and the ground truth images. By maximizing the automation of georeferencing procedures, the suggested approach will save significant time and effort of library workforce.

With the suggested approach, large numbers of historic aerial photographs can be rapidly georeferenced. This will allow libraries to provide more geospatial data to scientific communities.

This is a unique approach to rapid georeferencing of historic aerial photograph strips.

Digital humanities research platform for biographies of Malaysia personalities (DHRP-BMP) was collaboratively developed by the Research Center for Chinese Cultural Subjectivity in Taiwan, the Federation of Heng Ann Association Malaysia, and the Malaysian Chinese Research Center of Universiti Malaya in this study. Using The Biographies of Malaysia Henghua Personalities as the main archival sources, DHRP-BMP adopted the Omeka S, which is a next-generation Web publishing platform for institutions interested in connecting digital cultural heritage collections with other resources online, as the basic development system of the platform, to develop the functions of close reading and distant reading both combined together as the foundation of its digital humanities tools.

The results of the first-stage development are introduced in this study, and a case study of qualitative analysis is provided to describe the research process by a humanist scholar who used DHRP-BMP to discover the character relationships and contexts hidden in The Biographies of Malaysia Henghua Personalities.

Close reading provided by DHRP-BMP was able to support humanities scholars on comprehending full text contents through a user-friendly reading interface while distant reading developed in DHRP-BMP could assist humanities scholars on interpreting texts from a rather macro perspective through text analysis, with the functions such as keyword search, geographic information and social networks analysis for humanities scholars to master on the character relationships and geographic distribution from personality biographies, thus accelerating their text interpretation efficiency and uncovering the hidden context.

At present, a digital humanities research platform with real-time characters’ relationships analysis tool that can automatically generate visualized character relationship graphs based on Chinese named entity recognition (CNER) and character relationship identification technologies to effectively assist humanities scholars in interpreting characters’ relationships for digital humanities research is still lacking so far. This study thus presents the DHRP-BMP that offers the key features that can automatically identify characters’ names and characters’ relationships from personality biographies and provide a user-friendly visualization interface of characters’ relationships for supporting digital humanities research, so that humanities scholars could more efficiently and accurately explore characters’ relationships from the analyzed texts to explore complicated characters’ relationships and find out useful research findings.

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.