Reviewing the status of national spatial data infrastructures in Africa

Mwange, Collins; Mulaku, Galcano C.; Siriba, David N.

doi:10.1080/00396265.2016.1259720

Cited by 25 publications

(39 citation statements)

References 13 publications

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“…Technologies (ICT), led many non-specialised users to collect, use and replicate spatial data for their own purposes. However, inconsistencies and incompatibilities among spatial datasets impede their integration and re-use hindering the effective and efficient use of spatial data (Mwange et al 2018). Kong (2015) while exploring the best management practices of geospatial data in academic libraries has reviewed the common challenges of spatial data management and curation, which includes the application of big data, the emergence of web GIS, and the advancement of cyberinfrastructures, and conceptual framework (Schweers et al 2016).…”

Section: The Digitalization Of Spatial Data and The Advances In Informentioning

confidence: 99%

Challenges and Opportunities for Spatial Data Infrastructure Development in Mozambique

Atumane

Cabral

2019

Journal of Map & Geography Libraries

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The importance of access to spatial data for development and resource management is widely acknowledged worldwide. Unrestricted, reliable and efficient access to accurate, timely, and up-to-date spatial data may be achieved through a Spatial Data Infrastructure (SDI). Thus, most developed countries implemented and continue to develop their SDI. In Africa, there is a growing number of governments committed to SDI development. This paper aims to contribute to initialize an SDI in Mozambique. We identified and characterized through a survey the government institutions producing, sharing, and using spatial data in the country to estimate their potential contribution to the development of the Mozambican SDI. We found 12 institutions producing 15 thematic datasets which can constitute the core of the SDI for Mozambique. Two government agencies have the technical skills and policies to make spatial data available to the public. Based on the possible contribution of these institutions, this paper proposes an SDI for Mozambique based on four pillars: i) organizational framework; ii) legal framework; iii) technical framework; and iv) accessibility.

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Section: The Digitalization Of Spatial Data and The Advances In Informentioning

confidence: 99%

Challenges and Opportunities for Spatial Data Infrastructure Development in Mozambique

Atumane

Cabral

2019

Journal of Map & Geography Libraries

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“…People rely on data and policy, standards and networks have to facilitate the storage, exchange and analysis of data [28]. standards, and access network are dynamic in nature due to the rapid developments in related technologies [45]. This suggested that an integrated SDI has value-added services, end-users and geospatial data along with other important issues related to policies, interoperability and networks.…”

Section: Spatial Data Infrastructurementioning

confidence: 99%

GeoFog4Health: a fog-based SDI framework for geospatial health big data analysis

Barik

Dubey

Mankodiya

et al. 2018

J Ambient Intell Human Comput

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Spatial Data Infrastructure (SDI) is an important framework for sharing geospatial big data using the web. Integration of SDI with cloud computing lead to emergence of Cloud-SDI as a tool for transmission, processing and analysis of geospatial data. Fog computing is a paradigm where embedded devices are employed to increase the throughput and reduce latency at the edge of network. In this study, we developed and evaluated a Fog-based SDI framework named GeoFog4Health for mining analytics from geo-health big data. We built a prototype using both Intel Edison and Raspberry Pi for performing a comparative study. We performed a case study on Malaria vector borne disease positive maps of Maharastra state in India. The proposed framework had provision of lossless data compression. Also, overlay analysis of geospatial data could be performed. In addition, we discussed energy saving, cost analysis and scalability of proposed framework for efficient data processing. We compared the performance of proposed framework with state of the art Cloud-SDI in terms of analysis time. Results and discussions showed the efficacy of proposed system for enhanced analysis of geo-health big data generated from a variety of sensing frameworks.

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“…Given the weak status of the KNSDI [27], several assumptions are made, in order to eliminate the extraneous variables so that the focus is directed on the cost of cloud deployment. First, it is assumed that the KNSDI policies and standards have been finalized, and are used widely by most stakeholders.…”

Section: Cost Estimate Of the Gcsmentioning

confidence: 99%

Technology Trends for Spatial Data Infrastructure in Africa

Mwange¹,

Mulaku²,

Siriba³

2018

cea

Self Cite

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Over the past few years, several technology trends, notably big data analytics, volunteered geographic information, cloud computing, free and open source software, internet of things, and linked data, have emerged. This study reviews the contribution of some of these trends to Spatial Data Infrastructure (SDI) development, particularly in Africa. A geospatial application based on Google Container Engine, an Infrastructure as a Service cloud, has been developed. Data was sourced from the 2015 Kenya Certificate of Primary Education, the Kenya school mapping project of 2007 from the Ministry of Education, Science and Technology, and Kenya's administrative boundary layers from the Independent and Electoral Boundaries Commission. By using the cloud, several operations and analyses typically common in SDIs were carried out. In addition, a cost estimate of a cloud-based Kenya National Spatial Data Infrastructure deployment is presented. Although the new technologies may not necessarily lead to wider SDI adoption, the study shows that the trends can increase the chances of SDI development and adoption, by permitting highly scalable geoservices, and facilitating cost-effective free and open source software.

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Reviewing the status of national spatial data infrastructures in Africa

Cited by 25 publications

References 13 publications

Challenges and Opportunities for Spatial Data Infrastructure Development in Mozambique

Challenges and Opportunities for Spatial Data Infrastructure Development in Mozambique

GeoFog4Health: a fog-based SDI framework for geospatial health big data analysis

Technology Trends for Spatial Data Infrastructure in Africa

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