Methods to Improve and Evaluate Spatial Data Infrastructures

This thesis mainly focuses on methods for improving and evaluating Spatial Data Infrastructures (SDIs). The aim has been threefold: to develop a framework for the management and evaluation of an SDI, to improve the accessibility of spatial data in an SDI, and to improve the cartography in view services in an SDI. Spatial Data Infrastructure has been identified as an umbrella covering spatial data handling procedures. The long-term implementation of SDI increases the need for short/middle term feedbacks from different perspectives. Thus, a precise strategic plan and accurate objectives have to be defined for the implementation of an efficient environment for spatial data collection and exchange in a region. In this thesis, a comprehensive study was conducted to review the current methods in the business management literature to approach to an integrated framework for the implementation and evaluation of SDIs. In this context, four techniques were described and the usability of each technique in several aspects of SDI implementation was discussed. SDI evaluation has been considered as one of the main challenges in recent years. Lack of a general goal oriented framework to assess an SDI from different perspectives was one of the main concerns of this thesis. Among a number of the current methods in this research area, we focused on the Balanced Scorecard (BSC) as a general evaluation framework covering all perspectives in an SDI. The assessment study opened a window to a number of important issues that ranged from the technical to the cartographic aspects of spatial data exchange in an SDI. To access the required datasets in an SDI, clearinghouse networks have been developed as a gateway to the data repositories. However, traditional clearinghouse networks do not satisfy the end user requirements. By adding a number of functionalities, we proposed a methodology to increase the percentage of accessing required data. These methods were based on predefined rules and additional procedures within web processing services and service composition subjects to develop an expert system based clearinghouses. From the cartography viewpoint, current methods for spatial data presentation do not satisfy the user requirements in an SDI environment. The main presentation problem occurs when spatial data are integrated from different sources. For appropriate cartography, we propose a number of methods, such as the polygon overlay method, which is an icon placement approach, to emphasize the more important layers and the color saturation method to decrease the color saturation of the unimportant layers and emphasize the foreground layer according to the visual hierarchy concept. Another cartographic challenge is the geometrical and topological conflicts in data shown in view services. The geometrical inconsistency is due to the artificial discrepancy that occurs when displaying connected information from different sources, which is caused by inaccuracies and different levels of details in the datasets. The semantic conflict is related to the definition of the related features, i.e., to the information models of the datasets. To overcome these conflicts and to fix the topological and geometric conflicts we use a semantic based expert system by utilizing an automatic cartography core containing a semantic rule based component. We proposed a system architecture that has an OWL (Web Ontology Language) based expert system to improve the cartography by adjusting and resolving topological and geometrical conflicts in geoportals

The Evolution of National Spatial Data Infrastructure in Pakistan - Implementation Challenges and the Way Forward

Geospatial data are produced by several organizations located at various places, and that is clearly a distributed environment. Many technical and institutional issues need to be resolved to share data in such an environment and to eventually enable regional development. For this matter, many countries implement Spatial Data Infrastructures (SDIs) for the last 40 years. Since 2010, also Pakistan is striving to implement an SDI at the national level (NSDI). However, so far, the promised benefits have not yet been achieved. This study explores the evolution of the NSDI in Pakistan from 2010 till 2020 to reveal what kind of challenges the country is facing. Given the importance of stakeholders' support for the implementation of SDIs, we conducted a stakeholder analysis and a dedicated survey. We adopted the power-interest grid method to classify stakeholders' interests based on their authority to influence the NSDI development. Among other, the results show that stakeholders’ low participation due to insufficient technological, financial, and human resources impedes NSDI implementation efforts in the country

A new trajectory for spatial data infrastructure evolution in the developing world

Includes abstract.Includes bibliographical references (leaves 107-113).Spatial Data is a key resource in the development of cities. There is a lot of socio-economic potential that is locked away in spatial data holdings and this potential is unlocked by making the datasets widely available for use. Spatial Data Infrastructures (SDIs) have served this primary purpose; to make data accessible through the use of web based technologies. However, SDIs have not had their anticipated impact at local levels of governance. They have traditionally served as platforms that facilitate access to raw spatial datasets. They have not fully facilitated for the use of these datasets and therefore have attracted minimal attention from decision makers and users. This research suggests a new trajectory for SDI evolution; a trajectory that will allow them to evolve into more relevant platforms for confronting the urban crisis in developing nations and thereby ensuring that they have the societal impact that they are intended to. The research explores the characteristics of the mainstream efforts to counter urban crises in the developing world to determine how the new SDI should be re-conceptualised to more adequately assist in responding to the urban crisis. This leads to the incorporation of Evidence Based Practice (EBP) into SDI through the use of urban indicators and knowledge creation processes to reflect on the pressing societal issues. From the new SDI concept, an architectural design is implemented as a “proof of concept”. At the heart of this new concept is the SDIs ability to provide access to more than just raw spatial datasets but useful information products that are based on these data. This proves that EBP can be incorporated into SDI to make them more efficient in responding to the urban problems in developing nation and consequently more relevant Information Infrastructures for urban decision makers

Using Metadata to Help the Integration of Several Multi-Sources Set of Updates

International audienceToday, spatial data are increasingly available on the web and users can update their datasets more easily. Different sets of updates result from diverse sources are furnished to the user, each containing updates acquired in different manners, with different quality and at different times. A special context where the data and updates could come from different sources is a military mission. Indeed, the actors are distributed between different sites and one particularity is that they can be either a producer or a user of the data. They have their own dataset and can update them in several ways but must regularly supply their evolutions to the others actors in order to guarantee the success of the mission. Therefore, each actor receives many heterogeneous sets of updates and must integrate them in their own dataset in accordance with their needs. In this context, the user receives several set of heterogeneous updates which can have different quality, which can contain errors due to the manner they were acquired and they have to integrate them in their personal dataset. Thus, all the evolutions are not necessarily interesting for the user, and conversely one set of updates may not cover all the user needs. These heterogeneous sets of updates could also be concurrent each others and be concurrent with the user dataset. In this context, how can a user efficiently update his spatial dataset with some evolutions which are not necessarily pertinent and probably concurrent? This is the essential question to answer if we want to improve the update of spatial data by different sets of evolutions which are coming from multiple sites. In this paper, we will study the main problem arising when we integrate concurrent and heterogeneous updates and we will propose a process which helps the user to integrate efficiency multi-source updates into his dataset. This process comprises several steps : Firstly, we classify the evolutions to remove the heterogeneity, secondly we take into account the user needs and exclude the non pertinent data, thirdly we check the concurrency control between all the updates, and finally we reconcile the data if a conflict was detected. This process uses metadata to choose the “best” evolution to be integrated in the dataset. The metadata used are structured in accordance with the ISO 19115 standard specifications

Geospatial information infrastructures

Manual of Digital Earth / Editors: Huadong Guo, Michael F. Goodchild, Alessandro Annoni .- Springer, 2020 .- ISBN: 978-981-32-9915-3Geospatial information infrastructures (GIIs) provide the technological, semantic,organizationalandlegalstructurethatallowforthediscovery,sharing,and use of geospatial information (GI). In this chapter, we introduce the overall concept and surrounding notions such as geographic information systems (GIS) and spatial datainfrastructures(SDI).WeoutlinethehistoryofGIIsintermsoftheorganizational andtechnologicaldevelopmentsaswellasthecurrentstate-of-art,andreflectonsome of the central challenges and possible future trajectories. We focus on the tension betweenincreasedneedsforstandardizationandtheever-acceleratingtechnological changes. We conclude that GIIs evolved as a strong underpinning contribution to implementation of the Digital Earth vision. In the future, these infrastructures are challengedtobecomeflexibleandrobustenoughtoabsorbandembracetechnological transformationsandtheaccompanyingsocietalandorganizationalimplications.With this contribution, we present the reader a comprehensive overview of the field and a solid basis for reflections about future developments

Adaptive Development of a Regional Spatial Data Infrastructure Facing Local Prospects and Socio-Technological Trends

The regional Lounaispaikka-SDI (Spatial Data Infrastructure) in south-west Finland is being developed by a dynamic assembly of the region’s geospatial expertise and its networking, spatial data and geoportal services. Emerging as a data-centric constellation that supported the region’s geographical information professionals, this assembly has developed into a geospatial service with more broadly-focused public information on the region. This development has had five adaptive phases, each as a response to changing local needs and fast-evolving trends in information and communication technologies. Alongside these processes, the Lounaispaikka-SDI has also reinforced the region’s geospatial competencies with benefits offered to academia, public sector institutions, and companies

Spatial Data Infrastructures and the Semantic Web of Spatial Things in Australia

Spatial Data Infrastructures have recently become a crucial part of national infrastructures. Example users are governments using them to make informed policy decisions and the private sector using them in order to understand their customers better. It is estimated that Australian spatial industry revenue is in excess of $1.35 billion annually. The Cooperative Research Centre for Spatial Information in Australia is currently working with the Commonwealth, jurisdictions and the private sector to understand the research required in this area to support both the public and private sectors in their decision and policy making based upon these infrastructures. This paper presents an early perspective as to possible research areas in this field. An underlying theme that reoccurs in the research is the need to consider usability of such systems and the need to move beyond just data to orchestration of processes to obtain derived products

Public Geospatial Data in Wisconsin: Information Access, Data Sharing, and the University

This research explores public geospatial data sharing in Wisconsin. The research is informed by literature on GIS and Society, Participatory GIS, Spatial Data Infrastructure, Information Justice, The Digital Divide, and Library and Information Science. Original research consists of a survey and follow up interview to public land information professionals in Wisconsin gauging their interest in a UW System-wide geographic information portal for distributing public spatial data to UW System users. The research finds that social and institutional rather than technical factors are major drivers of data-sharing activities in Wisconsin. However, technical aspects of geographic information are changing quickly with a move to more hosted services in the cloud. This research explores how this shift influences data-sharing, academic library GIS services, and university level education. While social and institutional influences are critical, GIS professionals, students, and educators must be ready for the cloud