Assessing the quality of geospatial linked data – experiences from Ordnance Survey Ireland (OSi)

Ordnance Survey Ireland (OSi) is Ireland’s national mapping agency that is responsible for the digitisation of the island’s infrastructure in terms of mapping. Generating data from various sensors (e.g. spatial sensors), OSi build its knowledge in the Prime2 framework, a subset of which is transformed into geo-Linked Data. In this paper we discuss how the quality of the generated sematic data fares against datasets in the LOD cloud. We set up Luzzu, a scalable Linked Data quality assessment framework, in the OSi pipeline to continuously assess produced data in order to tackle any quality problems prior to publishing

GEOSPATIAL-BASED ENVIRONMENTAL MODELLING FOR COASTAL DUNE ZONE MANAGEMENT

Tomaintain biodiversity and ecological functionof coastal dune areas, itis important that practical and effective environmentalmanagemental strategies are developed. Advances in geospatial technologies offer a potentially very useful source of data for studies in this environment. This research project aimto developgeospatialdata-basedenvironmentalmodellingforcoastaldunecomplexestocontributetoeffectiveconservationstrategieswithparticularreferencetotheBuckroneydunecomplexinCo.Wicklow,Ireland.Theprojectconducteda general comparison ofdifferent geospatial data collection methodsfor topographic modelling of the Buckroney dune complex. These data collection methodsincludedsmall-scale survey data from aerial photogrammetry, optical satellite imagery, radar and LiDAR data, and ground-based, large-scale survey data from Total Station(TS), Real Time Kinematic (RTK) Global Positioning System(GPS), terrestrial laser scanners (TLS) and Unmanned Aircraft Systems (UAS).The results identifiedthe advantages and disadvantages of the respective technologies and demonstrated thatspatial data from high-end methods based on LiDAR, TLS and UAS technologiesenabled high-resolution and high-accuracy 3D datasetto be gathered quickly and relatively easily for the Buckroney dune complex. Analysis of the 3D topographic modelling based on LiDAR, TLS and UAS technologieshighlighted the efficacy of UAS technology, in particular,for 3D topographicmodellingof the study site.Theproject then exploredthe application of a UAS-mounted multispectral sensor for 3D vegetation mappingof the site. The Sequoia multispectral sensorused in this researchhas green, red, red-edge and near-infrared(NIR)wavebands, and a normal RGB sensor. The outcomesincludedan orthomosiac model, a 3D surface model and multispectral imageryof the study site. Nineclassification strategies were usedto examine the efficacyof UAS-IVmounted multispectral data for vegetation mapping. These strategies involved different band combinations based on the three multispectral bands from the RGB sensor, the four multispectral bands from the multispectral sensor and sixwidely used vegetation indices. There were 235 sample areas (1 m × 1 m) used for anaccuracy assessment of the classification of thevegetation mapping. The results showed vegetation type classification accuracies ranging from 52% to 75%. The resultdemonstrated that the addition of UAS-mounted multispectral data improvedthe classification accuracy of coastal vegetation mapping of the Buckroney dune complex

Incorporating Spatial Data and GIS to Improve SEA of Land use Plans: Opportunities and Limitations: Case Studies in the Republic of Ireland

This research aimed at establishing whether spatial data and Geographic Information Systems (GIS) can contribute to Strategic Environmental Assessment (SEA). To achieve this, an integrated GISEA approach was developed and applied to a number of spatial planning SEAs in the Republic of Ireland. The practical applicability of the approach was examined, evaluating the potential benefits derived from using spatial data and GIS in SEA and assessing the potential barriers to an effective GIS use. The implementation of the SEA Directive incorporated a new dimension into plan-making by calling for the assessment of potential environmental effects that may derive from implementing a plan. The intrinsic spatial nature of land use plans poses specific requirements on the tools and assessment methods used. GIS – with their capacity to visually display and spatially assess information- have the potential to support SEA processes. Moreover, GIS tools can tackle the spatio-temporal dimensions that conventional assessment methods (e.g. matrices and checklists) fail to address. To explore the validity of these arguments, GISEA was applied to seven Irish development plans. These were supported by interviews with the planners and technicians involved, and through review of published SEA environmental reports. The case studies demonstrated that GIS can provide the mappable aspects of SEA; they facilitate the process by enhancing understanding of environmental and planning considerations, and improving the accuracy of assessments. These observations concur with published literature on the predicted benefits of applying GIS at various environmental assessment levels. Nevertheless, the results revealed that framework and procedural difficulties remain (e.g. institutional arrangements and technical data issues). These are more apparent at higher planning tiers and in certain SEA stages such as public participation. The contribution of GIS largely depends on scope for spatial information, availability and quality of relevant datasets, and willingness of involved organisations to facilitate data provision and disclosure. Therefore, formulation of spatially-specific land use plans and improved data accessibility and quality can contribute to an effective GIS use in SEA. Further research and practice are required to disclose the full potential of GISEA, but the work-placement aspect of this research has already had a direct impact on the level of GIS use in Irish SEA practice

Usability-enhanced coordination design of geovisualisations to communicate coastal flood risk information

For at least two millennia and probably much longer, the traditional vehicle for communicating geographical information to end-users has been the map. With the advent of computers, the means of both producing and consuming maps have radically been transformed, while the inherent nature of the information product has also expanded and diversified rapidly. This has given rise in recent years to the new concept of geovisualisation (GVIS), which draws on the skills of the traditional cartographer, but extends them into three spatial dimensions and may also add temporality, photorealistic representations and/or interactivity. Demand for GVIS technologies and their applications has increased significantly in recent years, driven by the need to study complex geographical events and in particular their associated consequences and to communicate the results of these studies to a diversity of audiences and stakeholder groups. GVIS has data integration, multi-dimensional spatial display advanced modelling techniques, dynamic design and development environments and field-specific application needs. To meet with these needs, GVIS tools should be both powerful and inherently usable, in order to facilitate their role in helping interpret and communicate geographic problems. However no framework currently exists for ensuring this usability. The research presented here seeks to fill this gap, by addressing the challenges of incorporating user requirements in GVIS tool design. It starts from the premise that usability in GVIS should be incorporated and implemented throughout the whole design and development process. To facilitate this, Subject Technology Matching (STM) is proposed as a new approach to assessing and interpreting user requirements. Based on STM, a new design framework called Usability Enhanced Coordination Design (UECD) is ten presented with the purpose of leveraging overall usability of the design outputs. UECD places GVIS experts in a new key role in the design process, to form a more coordinated and integrated workflow and a more focused and interactive usability testing. To prove the concept, these theoretical elements of the framework have been implemented in two test projects: one is the creation of a coastal inundation simulation for Whitegate, Cork, Ireland; the other is a flooding mapping tool for Zhushan Town, Jiangsu, China. The two case studies successfully demonstrated the potential merits of the UECD approach when GVIS techniques are applied to geographic problem solving and decision making. The thesis delivers a comprehensive understanding of the development and challenges of GVIS technology, its usability concerns, usability and associated UCD; it explores the possibility of putting UCD framework in GVIS design; it constructs a new theoretical design framework called UECD which aims to make the whole design process usability driven; it develops the key concept of STM into a template set to improve the performance of a GVIS design. These key conceptual and procedural foundations can be built on future research, aimed at further refining and developing UECD as a useful design methodology for GVIS scholars and practitioners

Towards the development of a strategy for a national spatial data infrastructure

In today's world of ever advancing technology the time is precisely right for investment in the development and implementation of a national spatial data infrastructure. This implies that all spatial data presently scattered in different departments and organisations are coordinated and shared. In the Kingdom of Saudi Arabia there are a number of different mapping and Geographic Information System (GIS) activities being implemented within various government organisations, each with its own merits. Certain research and pilot projects have also been carried out aiming to provide help and recommendations with regard to spatial data sharing and to promote awareness of the importance of spatial data to the Kingdom's development. However, there is an urgent need for a consolidation of effort to avoid the costly mistake of duplication of work; hence the need for a unified national spatial data infrastructure. This research aims to develop a conceptual framework for a strategy for a national spatial data infrastructure (SNSDI) including its main components. A proposal is presented for a Saudi national spatial data infrastructure (which happens to have the same abbreviation - SNSDI) to consolidate isolated mapping and spatial data efforts in the Kingdom of Saudi Arabia in place of the current practice of each agency acting independently. This research project will hopefully provide a leadership role in developing a Kingdom-wide spatial data infrastructure

The role of Spatial Data Infrastructures in the Digital Government Transformation of Public Administrations

Spatial Data Infrastructures (SDIs) play a pivotal role in Digital Government Transformation (DGT) of countries. They constitute one of the main building blocks for effective data sharing and their development in the past years has taught some important lessons to public authorities in terms of collaboration across sectors, centricity of users’ needs as well as usefulness of platforms and Application Programming Interfaces (APIs). However, the specific analysis of the role that SDIs play in Digital Government Transformation has not been the object of many studies so far. With practitioners and academics acknowledging more and more the links between these two concepts, there is a need to provide an initial picture of how SDIs have contributed to Digital Government Transformation until now and what could be their role in the future. The present study is a first attempt to examine this relation and develop a methodology for apprehending the role of SDIs in the Digital Transformation of the public sector. It first develops an analytical framework for examining different aspects that can provide an explanation of the relationship between SDIs and DGT and notably institutional aspects, technical aspects and impact aspects. It then tests this framework on twenty-nine countries (all European Member States plus Norway) in order to assess the validity of this instrument for the collection of data as well as for the wider understanding of this topic. From these analytical and data collection efforts, it emerged the strength of the relationship that SDIs and Digital Government Transformation entertain and the variety of ways in which countries have understood and cultivated it. The study also provides an attempt to link the OECD Recommendation on Digital Governments with the SDIs and Digital Transformation experience of the countries in scope. This also helped understanding that SDIs already significantly support Digital Government Transformation, even from the OECD perspective, and that this relationship will only be stronger in the future.JRC.B.6-Digital Econom

A comparative study of international approaches to enabling the sharing of research data

A DCC and JISC report that compares policies, strategies, infrastructure and services for sharing research data across OECD member countries

Evaluation of visualisations of geographically weighted regression, with perceptual stability

Given the large volume of data that is regularly accumulated, the need to properly manage, efficiently display and correctly interpret, becomes more important. Complex analysis of data is best performed using statistical models and in particular those with a geographical element are best analysed using Spatial Statistical Methods, including local regression. Spatial Statistical Methods are employed in a wide range of disciplines to analyse and interpret data where it is necessary to detect significant spatial patterns or relationships. The topic of the research presented in this thesis is an exploration of the most effective methods of visualising results. A human being is capable of processing a vast amount of data as long as it is effectively displayed. However, the perceptual load will at some point exceed the cognitive processing ability and therefore the ability to comprehend data. Although increases in data scale did increase the cognitive load and reduce processing, prior knowledge of geographical information systems did not result in an overall processing advantage. The empirical work in the thesis is divided into two parts. The first part aims to gain insight into visualisations which would be effective for interpretation and analysis of Geographically Weighted Regression (GWR), a popular Spatial Statistical Method. Three different visualisation techniques; two dimensional, three dimensional and interactive, are evaluated through an experiment comprising two data set sizes. Interactive visualisations perform best overall, despite the apparent lack of researcher familiarity. The increase in data volume can present additional complexity for researchers. Although the evaluation of the first experiment augments understanding of effective visualisation display, the scale at which data can be adequately presented within these visualisations is unclear. Therefore, the second empirical investigation seeks to provide insight into data scalability, and human cognitive limitations associated with data comprehension. The general discussion concludes that there is a need to better inform researchers of the potential of interactive visualisations. People do need to be properly trained to use these systems, but the limits of human perceptual processing also need to be considered in order to permit more efficient and insightful analysis