Establishing a framework for Open Geographic Information science

Singleton, Alex; Spielman, Seth E.; Brunsdon, Chris

doi:10.1080/13658816.2015.1137579

Cited by 60 publications

(61 citation statements)

References 41 publications

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“…Reproducibility is the effect of several factors, among them the public availability of the data under a shared license; software and workflows that are shared publicly; and the review of the software and workflows [39]. The proposed infrastructure is able to ensure the first two factors -public availability of the data, the software, and the workflows.…”

Section: Data Miningmentioning

confidence: 99%

Open source data mining infrastructure for exploring and analysing OpenStreetMap

Mocnik

Mobasheri

Zipf

2018

Open geospatial data, softw. stand.

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OpenStreetMap and other Volunteered Geographic Information datasets have been explored in the last years, with the aim of understanding how their meaning is rendered, of assessing their quality, and of understanding the community-driven process that creates and maintains the data. Research mostly focuses either on the data themselves while ignoring the social processes behind, or solely discusses the community-driven process without making sense of the data at a larger scale. A holistic understanding that takes these and other aspects into account is, however, seldom gained. This article describes a server infrastructure to collect and process data about different aspects of OpenStreetMap. The resulting data are offered publicly in a common container format, which fosters the simultaneous examination of different aspects with the aim of gaining a more holistic view and facilitates the results' reproducibility. As an example of such uses, we discuss the project OSMvis. This project offers a number of visualizations, which use the datasets produced by the server infrastructure to explore and visually analyse different aspects of OpenStreetMap. While the server infrastructure can serve as a blueprint for similar endeavours, the created datasets are of interest themselves too.

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Section: Data Miningmentioning

confidence: 99%

Open source data mining infrastructure for exploring and analysing OpenStreetMap

Mocnik

Mobasheri

Zipf

2018

Open geospatial data, softw. stand.

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“…type or age of the building, location of services), could also be provided through open data portals or community databases as OpenStreetMap. Indeed, there is a general movement toward open data access [54]. For environmental assessment, it induces new challenges as, for example, the necessity to develop data processing techniques to capture, document and collect data coming from various providers.…”

Section: Scientific and Technical Barriersmentioning

confidence: 99%

NoiseModelling: An Open Source GIS Based Tool to Produce Environmental Noise Maps

Bocher¹,

Guillaume²,

Picaut³

et al. 2019

Preprint

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The urbanisation phenomenon and related cities expansion and transport networks entail preventing the increase of population exposed to environmental pollution. Regarding noise exposure, the Environmental Noise Directive demands on main metropolis to produce noise maps. While based on standard methods, these latter are usually generated by proprietary software and require numerous input data concerning, for example, the buildings, land use, transportation network and traffic. The present work describes an open source implementation of a noise mapping tool fully implemented in a Geographic Information System compliant with the Open Geospatial Consortium standards. This integration makes easier at once the formatting and harvesting of noise model input data, cartographic rendering and output data linkage with population data. An application is given for a French city, which consists in estimating the impact of road traffic-related scenarios in terms of population exposure to noise levels both in relation to a threshold value and level classes.

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“…A full treatise on all aspects of open science is beyond the scope of this paper (see instead Baker and Chandler, 2008;Gargouri et al, 2010;Glover et al, 2010;Tenopir et al, 2011;The Royal Society, 2012;Costello and Wieczorek, 2014;Gallagher et al, 2015;Assante et al, 2016;Cutcher-Gershenfeld et al, 2016;Singleton et al, 2016). But suffice it to say that many organizations have fully dedicated themselves to fostering a counterculture in which not only are the tables, figures, statistics, and printed maps in published papers readily accessible but also the actual digital data sets themselves; these dedicated organizations include the Research Data Alliance (RDA), the Federation of Earth Science Information Partners, and specifically for the ocean community, the Intergovernmental Oceanographic Data and Information Exchange (IODE) of UNESCO's Intergovernmental Oceanographic Commission, the Ocean Data Interoperability Platform (funded in parallel by the European Commission, the Australian government, and the US National Science Foundation), the Interdisciplinary Earth Data Alliance (Lamont-Doherty Earth Observatory), the Biological & Chemical Oceanography Data Management Office (Woods Hole Oceanographic Institution), the National Science Foundation's EarthCube initiative, and many more.…”

Section: Open Sciencementioning

confidence: 99%

Swells, Soundings, and Sustainability, but…“Here Be Monsters”

Wright¹

2017

Oceanog.

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By Dawn J. Wright The Roger Revelle Commemorative Lecture Series was created by the Ocean Studies Board of the National Academies in honor of Roger Revelle to highlight the important links between ocean sciences and public policy. Dawn J. Wright, the eighteenth annual lecturer, spoke on April 28, 2017, at the Smithsonian National Museum of Natural History. ROGER REVELLE COMMEMORATIVE LECTURE ABSTRACT. We have been mapping the ocean for hundreds of years, from the stick charts of the ancient Marshall Islanders, to the initial soundings of the nineteenth-century Challenger expedition, to the multibeam sonars and robots of modern surveys. Today we map the ocean not only to increase fundamental scientific understanding of the ocean system but also to protect life and property, promote economic vitality, and inform ecosystem-based management and policy. Toward this end, the United Nations Sustainable Development Goals provide an overarching context for modern map development, drawing upon a vast wealth of maps and mapping experience that couples appropriate data with spatial analyses. At the same time, there is an overarching need for more compelling map design to help effectively communicate results and future predictions across a wide variety of research areas. Indeed, modern-day mapping systems have become increasingly "intelligent, " and these "smart maps" are changing what we measure, how we analyze and evaluate systems, how we forecast, and even how we develop new regulations. Intelligent maps are addressing myriad challenges, from the tracking of marine debris and marine mammals, to "geodesigning" the ocean to support multiple uses (commercial fishing, recreation, alternative energy, transportation, conservation), to creating scientific cyberinfrastructures for ocean observatories. Yet "there be monsters"-the major research challenges that continue to confound us. Despite the growing intelligence of mapping systems, we must cope with both the overabundance and the paucity of ocean data (i.e., "big data" and "dark data"), data multidimensionality, the need to increase data resiliency, and the ability to make data more accessible to many audiences. How do we address these major issues to create open and effective access to ocean science that will contribute to the global public good and ultimately to the sustainability of Planet Ocean?

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Establishing a framework for Open Geographic Information science

Cited by 60 publications

References 41 publications

Open source data mining infrastructure for exploring and analysing OpenStreetMap

Open source data mining infrastructure for exploring and analysing OpenStreetMap

NoiseModelling: An Open Source GIS Based Tool to Produce Environmental Noise Maps

Swells, Soundings, and Sustainability, but…“Here Be Monsters”

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