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| 1 | Big Earth Data science:an information framework for a sustainable planet显示文摘The digital transformation of our society coupled with the increasing exploitation of natural resources makes sustainability challenges more complex and dynamic than ever before.These changes will unlikely stop or even decelerate in the near future.There is an urgent need for a new scientific approach and an advanced form of evidence-based decisionmaking towards the benefit of society,the economy,and the environment.To understand the impacts and interrelationships between humans as a society and natural Earth system processes,we propose a new engineering discipline,Big Earth Data science.This science is called to provide the methodologies and tools to generate knowledge from diverse,numerous,and complex data sources necessary to ensure a sustainable human society essential for the preservation of planet Earth.Big Earth Data science aims at utilizing data from Earth observation and social sensing and develop theories for understanding the mechanisms of how such a social-physical system operates and evolves.The manuscript introduces the universe of discourse characterizing this new science,its foundational paradigms and methodologies,and a possible technological framework to be implemented by applying an ecosystem approach.CASEarth and GEOSS are presented as examples of international implementation attempts.Conclusions discuss important challenges and collaboration opportunities. | Huadong Guo Stefano Nativi Dong Liang Max Craglia Lizhe Wang Sven Schade Christina Corban Guojin He Martino Pesaresi Jianhui Li Zeeshan Shirazi Jie Liu Alessandro Annoni | 2020 | International Journal of Digital Earth2020，13，7： | 12 |
| 2 | Digital Earth 2020:towards the vision for the next decade显示文摘This position paper is the outcome of a brainstorming workshop organised by the International Society for Digital Earth(ISDE)in Beijing in March 2011.It argues that the vision of Digital Earth(DE)put forward by Vice-President Al Gore 13 years ago needs to be re-evaluated in the light of the many developments in the fields of information technology,data infrastructures and earth observation that have taken place since.The paper identifies the main policy,scientific and societal drivers for the development of DE and illustrates the multi-faceted nature of a new vision of DE grounding it with a few examples of potential applications.Because no single organisation can on its own develop all the aspects of DE,it is essential to develop a series of collaborations at the global level to turn the vision outlined in this paper into reality. | Max Craglia Kees de Bie Davina Jackson Martino Pesaresi Gabor Remetey-Fulopp Changlin Wang Alessandro Annoni Ling Bian Fred Campbell Manfred Ehlers John van Genderen Michael Goodchild Huadong Guo Anthony Lewis Richard Simpson Andrew Skidmore Peter Woodgate | 2012 | International Journal of Digital Earth2012，5，1： | 8 |
| 3 | Exploring the depths of the global earth observation system of systems显示文摘This paper explores for the first time the contents,structure and relationships across institutions and disciplines of a global Big Earth Data cyber-infrastructure:the Global Earth Observation System of System(GEOSS).The analysis builds on 1.8 million metadata records harvested in GEOSS.Because this set includes almost all the major large data collections in GEOSS,the analysis represents more than 80%of all the data made available through this global system.We explore two major aspects:the collaborative networks and the thematic coverage in GEOSS.The first connects the contributing organisations through the more than 200,000 keywords used in the systems,and then explores who is citing whom,a proxy for of institutional thickness.The thematic coverage is analysed through neural network algorithms,first on the keywords,and then on the corpus of 653 million lemmatised lower case words built from the titles and abstracts of all 1.8 million metadata records.The findings not only give a good overview of the GEOSS data universe,but offer immediate priorities on how to increase the usability of GEOSS through improved data management,and the opportunity to augment the metadata with high level concept that synthetise well the contents of the data-set. | Max Craglia Jiri Hradec Stefano Nativi Mattia Santoro | 2017 | Big Earth Data2017，1，1： | 5 |
| 4 | A view-based model of data-cube to support big earth data systems interoperability显示文摘Big Earth Data-Cube infrastructures are becoming more and more popular to provide Analysis Ready Data,especially for managing satellite time series.These infrastructures build on the concept of multidimensional data model(data hypercube)and are complex systems engaging different disciplines and expertise.For this reason,their interoperability capacity has become a challenge in the Global Change and Earth System science domains.To address this challenge,there is a pressing need in the community to reach a widely agreed definition of Data-Cube infrastructures and their key features.In this respect,a discussion has started recently about the definition of the possible facets characterizing a Data-Cube in the Earth Observation domain.This manuscript contributes to such debate by introducing a view-based model of Earth Data-Cube systems to design its infrastructural architecture and content schemas,with the final goal of enabling and facilitating interoperability.It introduces six modeling views,each of them is described according to:its main concerns,principal stakeholders,and possible patterns to be used.The manuscript considers the Business Intelligence experience with Data Warehouse and multidimensional“cubes”along with the more recent and analogous development in the Earth Observation domain,and puts forward a set of interoperability recommendations based on the modeling views. | Stefano Nativi Paolo Mazzetti Max Craglia | 2017 | Big Earth Data2017，1，1： | 3 |
| 5 | A comparative evaluation of approaches to urban crime pattern analysis显示文摘 | CRAGLIA M HAINING R | | 0，，04： | 1 |
| 6 | Next-generation digital earth 显示文摘 | Craglia M Goodehild M F Annoni A | 2008 | International Journal of Spatial Data Infrastructures Research2008，3，： | 1 |
| 7 | Modeling high-intensity crime areas in English cities 显示文摘 | Craglia Massimo Robert H | 2004 | Urban Studies2004，，38： | 1 |
| 8 | GIS and the social sciences: a European perspective显示文摘 | Craglia M | 2000 | Computers Environment and Urban Systems2000，24，4： | 1 |
| 9 | Situated Innovation of e - Social Science: Integrating Infrastructure, Collaboration, and Knowledge in Developing e - Social Science 显示文摘 | Wessels B Craglia M | 2007 | Journal of Computer - Mediated Communication2007，12，2： | 1 |
| 10 | New data sources for social indicators: the case study of contacting politicians by Twitter显示文摘Data availability is a persistent constraint in social policy analysis.Web 2.0 technologies could provide valuable new data sources,but first,their potentials and limitations need to be investigated.This paper reports on a method using Twitter data for deriving indications of active citizenship,taken as an example of social indicators.Active citizenship is a dimension of social capital,empowering communities and reducing possibilities of social exclusion.However,classical measurements of active citizenship are generally costly and time-consuming.This paper looks at one of such classic indicators,namely,responses to the survey question‘contacts to politicians’.It compares official survey results in Spain with findings from an analysis of Twitter data.Each method presents its own strengths and weakness,thus best results may be achieved by the combination of both.Official surveys have the clear advantage of being statistically robust and representative of a total population.Instead,Twitter data offer more timely and less costly information,with higher spatial and temporal resolution.This paper presents our full methodological workflow for analysing and comparing these two data sources.The research results advance the debate on how social media data could be mined for policy analysis. | Cristina Rosales Sánchez Massimo Craglia Arnold K.Bregt | 2017 | International Journal of Digital Earth2017，10，8： | 0 |
| 11 | GEOSS Platform data content and use显示文摘The GEOSS Platform is a key contribution to the goal of building the Global Earth Observation System of Systems(GEOSS).It enables a harmonized discovery and access of Earth observation data,shared online by heterogeneous organizations worldwide.This work analyzes both what is made available in the GEOSS Platform by the data providers and how users are utilizing it including multiyear trends,updating a previous analysis published in 2017.The present statistics derive from a 2021 EOValue report funded by the European Commission.The offer of GEOSS Platform data has been the object of various analyses,including data provider characterization,data sharing trends,and data characterization(comprising metadata quality analysis,thematic analysis,responsible party identification,spatial–temporal coverage).GEOSS data demand has also been the object of several analyses,including data consumer characterization,utilization trends,and requested data characterization(comprising thematic analysis,spatial–temporal coverage,and popularity).Among thefindings,a large amount of shared data,mostly from satellite sources,emerges with an issue of low metadata quality and related discovery match.Moreover,the trend in usage is decreasing.Therefore,the progressive disconnection of the GEOSS platform from its data Providers and Users and other possible causes are also reported. | Enrico Boldrini Stefano Nativi Jiri Hradec Mattia Santoro Paolo Mazzetti Max Craglia | 2023 | International Journal of Digital Earth2023，16，1： | 0 |
| 12 | Data democracy–increased supply of geospatial information and expanded participatory processes in the production of data显示文摘The global landscape in the supply,co-creation and use of geospatial data is changing very rapidly with new satellites,sensors and mobile devices reconfiguring the traditional lines of demand and supply and the number of actors involved.In this paper we chart some of these technology-led developments and then focus on the opportunities they have created for the increased participation of the public in generating and contributing information for a wide range of uses,scientific and non.Not all this information is open or geospatial,but sufficiently large portions of it are to make it one of the most significant phenomena of the last decade.In fact,we argue that while satellite and sensors have exponentially increased the volumes of geospatial information available,the participation of the public is transformative because it expands the range of participants and stakeholders in society using and producing geospatial information,with opportunities for more direct participation in science,politics and social action. | Max Craglia Lea Shanley | 2015 | International Journal of Digital Earth2015，8，9： | 0 |
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