Bibliografías temáticas / Big geo data

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Literatura académica sobre el tema "Big geo data"

Autor: Grafiati
Publicado: 4 de junio de 2025
Última modificación: 1 de agosto de 2025

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Artículos de revistas sobre el tema "Big geo data"

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Brovelli, M. A., P. Boccardo, G. Bordogna, et al. "URBAN GEO BIG DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W14 (August 23, 2019): 23–30. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w14-23-2019.

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<p><strong>Abstract.</strong> The paper deals with the general presentation of the Urban GEO BIG DATA, a collaborative acentric and distributed Free and Open Source (FOS) platform consisting of several components: local data nodes for data and related service Web deploy; a visualization node for data fruition; a catalog node for data discovery; a CityGML modeler; data-rich viewers based on virtual globes; an INSPIRE metadata management system enriched with quality indicators for each dataset.</p><p>Three use cases in five Italian cities (Turin, Milan, Padua, Rome,
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Arias Munoz, C., M. A. Brovelli, S. Corti, and G. Zamboni. "BIG GEO DATA MANAGEMENT: AN EXPLORATION WITH SOCIAL MEDIA AND TELECOMMUNICATIONS OPEN DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 8, 2016): 595–601. http://dx.doi.org/10.5194/isprs-archives-xli-b2-595-2016.

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The term Big Data has been recently used to define big, highly varied, complex data sets, which are created and updated at a high speed and require faster processing, namely, a reduced time to filter and analyse relevant data. These data is also increasingly becoming Open Data (data that can be freely distributed) made public by the government, agencies, private enterprises and among others. There are at least two issues that can obstruct the availability and use of Open Big Datasets: Firstly, the gathering and geoprocessing of these datasets are very computationally intensive; hence, it is ne
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Arias Munoz, C., M. A. Brovelli, S. Corti, and G. Zamboni. "BIG GEO DATA MANAGEMENT: AN EXPLORATION WITH SOCIAL MEDIA AND TELECOMMUNICATIONS OPEN DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 8, 2016): 595–601. http://dx.doi.org/10.5194/isprsarchives-xli-b2-595-2016.

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The term Big Data has been recently used to define big, highly varied, complex data sets, which are created and updated at a high speed and require faster processing, namely, a reduced time to filter and analyse relevant data. These data is also increasingly becoming Open Data (data that can be freely distributed) made public by the government, agencies, private enterprises and among others. There are at least two issues that can obstruct the availability and use of Open Big Datasets: Firstly, the gathering and geoprocessing of these datasets are very computationally intensive; hence, it is ne
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Jahn, M. W., P. E. Bradley, M. Al Doori, and M. Breunig. "TOPOLOGICALLY CONSISTENT MODELS FOR EFFICIENT BIG GEO-SPATIO-TEMPORAL DATA DISTRIBUTION." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W5 (October 23, 2017): 65–72. http://dx.doi.org/10.5194/isprs-annals-iv-4-w5-65-2017.

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Geo-spatio-temporal topology models are likely to become a key concept to check the consistency of 3D (spatial space) and 4D (spatial + temporal space) models for emerging GIS applications such as subsurface reservoir modelling or the simulation of energy and water supply of mega or smart cities. Furthermore, the data management for complex models consisting of big geo-spatial data is a challenge for GIS and geo-database research. General challenges, concepts, and techniques of big geo-spatial data management are presented. In this paper we introduce a sound mathematical approach for a topolog
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Gutiérrez-Puebla, Javier, Juan Carlos García-Palomares, and María Henar Salas-Olmedo. "Big (Geo)Data en Ciencias Sociales: Retos y Oportunidades." Revista de Estudios Andaluces 33, no. 1 (2016): 1–23. http://dx.doi.org/10.12795/rea.2016.i33.01.

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Lu, Y. L., C. W. Liu, J. W. Li, and J. W. Jiang. "CONSTRUCTION METHOD OF “CELL-CUBE” SPATIO-TEMPORAL DATA MODEL FOR BIG DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W10 (February 7, 2020): 25–30. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w10-25-2020.

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Abstract. In recent years, with high accuracy, high frequency, considerable coverage of remote sensing images, map tiles, video surveillance, web crawlers, social networking platforms and other types of spatiotemporal data have exploded in geometric progression. Human society has come into the era of big data in time and space. In view of the characteristics of multi-attribute, multi-dimensional, multisource and heterogeneous spatiotemporal big data, how to make use of the emerging information technology means, combined with the geographic information data analysis means, the rapid mining and
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Goodchild, Michael F. "The quality of big (geo)data." Dialogues in Human Geography 3, no. 3 (2013): 280–84. http://dx.doi.org/10.1177/2043820613513392.

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Alkathiri, Mazin, Jhummarwala Abdul, and M. B. Potdar. "Geo-spatial Big Data Mining Techniques." International Journal of Computer Applications 135, no. 11 (2016): 28–36. http://dx.doi.org/10.5120/ijca2016908542.

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Petry, Frederick E. "Data Mining Approaches for Geo-Spatial Big Data." International Journal of Organizational and Collective Intelligence 3, no. 1 (2012): 52–71. http://dx.doi.org/10.4018/joci.2012010104.

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The availability of a vast amount of heterogeneous information from a variety of sources ranging from satellite imagery to the Internet has been termed as the problem of Big Data. Currently there is a great emphasis on the huge amount of geophysical data that has a spatial basis or spatial aspects. To effectively utilize such volumes of data, data mining techniques are needed to manage discovery from such volumes of data. An important consideration for this sort of data mining is to extend techniques to manage the inherent uncertainty involved in such spatial data. In this paper the authors fi
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Alciaturi, Giancarlo, María del Pilar García - Rodríguez, and Virginia Fernández. "A way for explaining Geo Big Data through its characteristics, sources, and central support technologies." Revista Geográfica de Chile Terra Australis 60, no. 1 (2024): 102–19. http://dx.doi.org/10.23854/07199562.2024601.alciaturi.

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Big Data has significantly impacted scientific research and everyday life, resulting in solutions that align with its principles. Therefore, it is essential to propose ways that enable a basic understanding of specific fields of knowledge, such as those related to spatial domain information. Through a narrative review, this document explains the fundamentals of Geo Big Data by contextualising the characteristics, sources, and central technologies of Big Data in relation to geographic information. One of the most significant findings is that Geo Big Data helps enhance the understanding of bioph
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Tesis sobre el tema "Big geo data"

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Cavallo, Marco. "H2F: a hierarchical Hadoop framework to process Big Data in geo-distributed contexts." Doctoral thesis, Università di Catania, 2018. http://hdl.handle.net/10761/3801.

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L ampia diffusione di tecnologie ha portato alla generazione di enormi quantità di dati, o di Big Data, che devono essere raccolti, memorizzati e elaborati attraverso nuove tecniche per produrre valore nel modo migliore. I framework distribuiti di calcolo come Hadoop, basati sul paradigma MapRe- duce, sono stati utilizzati per elaborare tali quantità di dati sfruttando la potenza di calcolo di molti nodi di cluster. Purtroppo, in molte applicazioni di big data, i dati da elaborare risiedono in diversi data center computazionali eterogeni e distribuiti in luoghi diversi. In questo contesto le p
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Sabbioni, Andrea. "Stream Processing di Geo Informazioni su Apache Spark a supporto di DAE." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/18843/.

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Con la rapida crescita del numero dei dispositivi mobili e delle possibilità offerte da quest’ultimi è progressivamente cambiato anche il nostro rapporto con la quotidianità. In questo contesto la capacità di associare velocemente un’informazione ad una determinata area geografica è diventato via via più rilevante in molteplici frangenti. Risultano sempre più diffuse infatti, le applicazioni geolocalizzate in diversi campi: dall’entertainment, alla pubblica utilità fino a diventare il nucleo di molti Business. Per fare fronte alle sfide appena viste abbiamo creato S2Spark un moderno framework
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Calvio, Alessandro. "Infrastrutture e Soluzioni Geo-spaziali per la Gestione di Interventi Urbani basato su Apache Spark." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22901/.

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Nel corso degli ultimi tempi il progresso tecnologico e il fenomeno dei Big Data hanno permesso di accedere ad una grandissima mole di dati, favorendo la creazione di servizi per migliorare i bisogni delle persone. Come afferma Tobler nella prima legge della geografia “Ogni cosa è correlata a qualsiasi altra, ma le cose vicine sono più relazionate di quelle lontane”; in tale contesto i dati geografici acquisiscono un’importanza quanto mai grande grazie alla possibilità di riuscire ad associare ogni informazione ad un punto sulla terra e capire le relazioni che vi intercorrono. Questo è estrema
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Wang, Qi. "Human Mobility Perturbation and Resilience in Natural Disasters." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/51955.

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Natural disasters exert a profound impact on the world population. In 2012, natural disasters affected 106 million people, forcing over 31.7 million people to leave their homes. Climate change has intensified natural disasters, resulting in more catastrophic events and making extreme weather more difficult to predict. Understanding and predicting human movements plays a critical role in disaster evacuation, response and relief. Researchers have developed different methodologies and applied several models to study human mobility patterns, including random walks, Lévy flight, and Brownian walks.
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López, Baeza Jesús. "Unveiling urban dynamics: An exploration of tools and methods using crowd-sourced data for the study of urban space." Doctoral thesis, Universidad de Alicante, 2020. http://hdl.handle.net/10045/108227.

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The following work presents several trans-disciplinary resources for understanding cities beyond just their physical form and spatial processes. The conceptualization of cities from a top-down, modern and post- modern approach to the form-function duality lacks multiple dimensions, which need to be studied in order to gain a proper understanding of how contemporary urban societies perform nowadays. Instead, this work considers settlements as a set of an infinite number of individual perceptions and experiences, which construct overlapping layers of hidden and intangible information that shape
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Zanotti, Andrea. "Modélisation de type multi-agents en archéologie : l'expansion des premiers agriculteurs Balkaniques : adaptation du modèle OBRESOC : manipulation et exploration des données simulées." Thesis, Paris, EPHE, 2016. http://www.theses.fr/2016EPHE3057/document.

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La thématique de l'expansion du système agricole depuis l'Anatolie vers les Balkans est depuis longtemps un important sujet de recherche. Les approches archéologiques classiques ont permis de mieux comprendre le parcours et le temps de cette expansion, mais ils n'expliquent rien de ce qui n'est pas observable dans les traces archéologiques : notamment, la structure socio-économique d'une société agricole préhistorique. Dans cette thèse, un modèle de type multi-agents a été utilisé pour explorer ces éléments qui sont invisibles en archéologie. Ce modèle, appelé BEAN (Bridging European and Anato
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Bergo, Anna <1997&gt. "I Big Data nella GDO." Master's Degree Thesis, Università Ca' Foscari Venezia, 2021. http://hdl.handle.net/10579/19850.

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I big data rappresentano il fattore produttivo chiave in un’economia data-driven, ovvero un nuovo approccio economico che si basa sull’utilizzo efficace dei dati per migliorare i processi decisionali e per intraprendere decisioni strategiche ed operative informate e basate su fatti oggettivi. I big data sono implementati in diversi ambiti, sia privati che pubblici e l’utilizzo di tecniche di analisi dei big data ha permesso di creare nuovi servizi o migliorare quelli esistenti, innovare i processi produttivi e distributivi, personalizzare l’offerta di prodotti e servizi in base alle diverse pr
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Panse, Christian. "Visualizing geo-related data using cartograms." [S.l.] : [s.n.], 2005. http://deposit.ddb.de/cgi-bin/dokserv?idn=976691841.

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Grabowicz, Przemyslaw Adam. "Complex networks approach to modeling online social systems. The emergence of computational social science." Doctoral thesis, Universitat de les Illes Balears, 2014. http://hdl.handle.net/10803/131220.

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This thesis is devoted to quantitative description, analysis, and modeling of complex social systems in the form of online social networks. Statistical patterns of the systems under study are unveiled and interpreted using concepts and methods of network science, social network analysis, and data mining. A long-term promise of this research is that predicting the behavior of complex techno-social systems will be possible in a way similar to contemporary weather forecasting, using statistical inference and computational modeling based on the advancements in understanding and knowledge of techno
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Kötter, Karsten. "Data acquisition and data analysis for the gravitational-wave detector GEO 600." [S.l. : s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=971231362.

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Libros sobre el tema "Big geo data"

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Singh, Vivek Kumar, and Burcin Bozkaya. Geo-intelligence and visualization through big data trends. Information Science Reference, 2015.

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United States. General Accounting Office., ed. Protest Of VA Rejection OF Bid For Data Collection Services... 161481, B-280948... U.S. GAO... December 11, 1998. s.n., 1999.

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Kahler, Thomas, ed. Turning Point in Data Protection Law. Nomos Verlagsgesellschaft mbH & Co. KG, 2020. http://dx.doi.org/10.5771/9783748921561.

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„Turning Point in Data Protection Law“ enthält Beiträge aus den ersten beiden Jahren der DS-GVO des DPOblog.eu. Die Themen erstrecken sich von den neuen Grundlagen der DS-GVO über die aktuellen Entscheidungen des EuGH bis zu den ersten Rechtsverfahren von Max Schrems.
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Villez, Kris, Daniel Aguado, Janelcy Alferes, Queralt Plana, Maria Victoria Ruano, and Oscar Samuelsson, eds. Bästa möjliga data från givare i avloppsreningsprocesser. IWA Publishing, 2025. https://doi.org/10.2166/9781789065107.

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Utvecklingen med instrumentering på avloppsreningsverk har revolutionerat möjligheterna för processövervakning och reglering. Effektiv dataöverföring och kraftigt reducerade kostnader för datalagring har inneburit att reningsverk i dag förfogar över stora mängder data - eran med Big data har nått VA-branschen. Samtidigt har de senaste årens utveckling inom AI och maskininlärning gjort det möjligt att utvinna värdefull information ur dessa stora datamängder. Men trots digitaliseringens möjligheter så krävs både förmågan att hantera stora datamängder och tillräcklig datakvalitet för att fullt ut
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Martin, Philip. Migration Costs of Returning Workers. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198808022.003.0005.

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This chapter analyzes data on what workers—interviewed as they returned from jobs in Gulf Cooperation Council countries—paid several years earlier at home to get their jobs. The most important finding is the big difference in cost by corridor. The gap between the highest and lowest cost corridor was 9 to 1, reflecting the average $4,400 paid by Pakistanis returning from Saudia Arabia versus the $500 paid by Filipinos returning from Qatar. Earnings gaps were much smaller, ranging from a low of $350 a month for Ethiopians returning from Saudi Arabia to $600 for Indians returning from Qatar. The
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Jana, Laura A., and Jennifer Shu. Food Fights. 2nd ed. American Academy of Pediatrics, 2012. http://dx.doi.org/10.1542/9781581106664.

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This revised 2nd edition includes new chapters on healthy breakfasts, what's lacking in snacking, the big picture (obesity stats, the role of sleep on weight, the Let's Move Campaign, risk of diabetes) as well as the most-up-to-date information on organic foods, recipes for success, and phone apps that help families stay on track with good nutrition while on the go. The authors bring together the science of nutrition with the practical insight of parents who have been in your shoes, offering simplle solutions for your daily nutritional challenges.
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Tekeoğlu Tosun, Anıl, Ayşegül Gündüz, Bade Güleç, et al. Nöroloji Ders Kitabı III: Sinir Sistemi Hastalıkları ve Tedavi. Edited by Aksel Siva, Meral Kızıltan, Seher Naz Yeni, and Feray Karaali Savrun. İstanbul Üniversitesi–Cerrahpaşa Üniversite Yayınevi, 2025. https://doi.org/10.5152/9200.

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Nöroloji ders kitabı I'de semptomdan teşhise, temel nöroloji anlatılmıştır. Sinir sistemi hastalıklarının ilk cildi sık görülen nörolojik hastalıkları anlatırken bu cilt daha seyrek görülen hastalıklara odaklanmıştır. Ancak bu hastalıklar da nöroloji uzmanının pratiğinde önemli bir yer tutmaktadır. Enflamatuar hastalıklarda giderek artan tedavi seçenekleri, kas hastalıklarında genetik tanı yöntemlerindeki gelişmeler dikkate değerdir. Spinal musküler atrofi ile gündeme gelen gen tedavileri ise geleceği şekillendirebilir. Keyifli ve verimli okumalar dileğiyle.
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Dacey, Mike. Seven Challenges for the Science of Animal Minds. Oxford University PressOxford, 2025. https://doi.org/10.1093/9780198928102.001.0001.

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Abstract The scientific study of animal minds is difficult. This book examines the most significant reasons this is so: seven challenges for the science to overcome. Researchers are aware of these challenges, but few take any of them head-on, and none address them collectively as this book does. Despite this focus on challenges, the book’s orientation is optimistic; these are challenges for the science, not challenges to the science. Researchers have made substantial progress as things are. But taking the challenges head-on can help build an even stronger, more vibrant science. The seven chall
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Zweig, Katharina A. Awkward Intelligence. The MIT Press, 2022. http://dx.doi.org/10.7551/mitpress/13915.001.0001.

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An expert offers a guide to where we should use artificial intelligence—and where we should not. Before we know it, artificial intelligence (AI) will work its way into every corner of our lives, making decisions about, with, and for us. Is this a good thing? There's a tendency to think that machines can be more “objective” than humans—can make better decisions about job applicants, for example, or risk assessments. In Awkward Intelligence, AI expert Katharina Zweig offers readers the inside story, explaining how many levers computer and data scientists must pull for AI's supposedly objective d
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Bronstein, Michaela. Modernism Today, or The Author Becomes a Character. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190655396.003.0006.

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The final chapter examines the recent appearance of biographical fiction about the recuperative modernists from four continents—Cynthia Ozick’s Dictation, Michiel Heyns’s The Typewriter’s Tale, Colm Tóibín’s The Master, and Juan Gabriel Vásquez’s Secret History of Costaguana. These works go beyond influence or allusion: they simultaneously trade on the continuing appeal of their subject writers (and on the style of their subjects), and examine them from the perspective of a future to which they are already a little bit out of date. It is this dichotomy—between a persisting readership and a spe
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Capítulos de libros sobre el tema "Big geo data"

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Gao, Song. "Big Geo-data." In Encyclopedia of Big Data. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-32010-6_492.

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Gao, Song. "Big Geo-Data." In Encyclopedia of Big Data. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-32001-4_492-1.

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Najafzadeh, Mahsa, and Suresh Jagannathan. "Geo-Replication Models." In Encyclopedia of Big Data Technologies. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-63962-8_186-1.

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Najafzadeh, Mahsa, and Suresh Jagannathan. "Geo-replication Models." In Encyclopedia of Big Data Technologies. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-77525-8_186.

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Bao, Yixin, and Chuan Wu. "Geo-Distributed Big Data Analytics Systems." In Smart Data. Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9780429507670-8.

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Nawab, Faisal. "Geo-Scale Transaction Processing." In Encyclopedia of Big Data Technologies. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-63962-8_180-1.

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Nawab, Faisal. "Geo-Scale Transaction Processing." In Encyclopedia of Big Data Technologies. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-77525-8_180.

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Zhang, Hengcai, Feng Lu, and Jie Chen. "A Geo-Social Data Model for Moving Objects." In Data Mining and Big Data. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40973-3_11.

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Chandra, Abhishek, Benjamin Heintz, and Ramesh Sitaraman. "Optimizing Geo-Distributed Streaming Analytics." In Encyclopedia of Big Data Technologies. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-63962-8_155-1.

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Chandra, Abhishek, Benjamin Heintz, and Ramesh Sitaraman. "Optimizing Geo-Distributed Streaming Analytics." In Encyclopedia of Big Data Technologies. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-77525-8_155.

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Actas de conferencias sobre el tema "Big geo data"

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Yang, Hu, Yongling Chen, Chenyu Li, Meilin Xu, Jun Liang, and Cheng Liu. "Geo-Environmental Carrying Capacity Assessment and Analysis Based on BP Neural Network." In 2024 10th International Conference on Big Data and Information Analytics (BigDIA). IEEE, 2024. https://doi.org/10.1109/bigdia63733.2024.10808833.

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Desai, Akshar Prabhu, Tejasvi Ravi, Mohammad Luqman, Mohit Sharma, Nithya Kota, and Pranjul Yadav. "Gen-AI for User Safety: A Survey." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10825656.

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Wei, Viska, Nikita Ivkin, Vladimir Braverman, and Alexander S. Szalay. "Sketch and Scale Geo-distributed tSNE and UMAP." In 2020 IEEE International Conference on Big Data (Big Data). IEEE, 2020. http://dx.doi.org/10.1109/bigdata50022.2020.9377843.

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Klein, Levente J., Fernando J. Marianno, Conrad M. Albrecht, et al. "PAIRS: A scalable geo-spatial data analytics platform." In 2015 IEEE International Conference on Big Data (Big Data). IEEE, 2015. http://dx.doi.org/10.1109/bigdata.2015.7363884.

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Ghoorchian, Kambiz, and Sarunas Girdzijauskas. "Spatio-Temporal Multiple Geo-Location Identification on Twitter." In 2018 IEEE International Conference on Big Data (Big Data). IEEE, 2018. http://dx.doi.org/10.1109/bigdata.2018.8621997.

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Ogura, Takuto, Yoshiki Akita, Yuki Miyazawa, and Hideyuki Kawashima. "Accelerating Geo-Distributed Transaction Processing with Fast Logging." In 2021 IEEE International Conference on Big Data (Big Data). IEEE, 2021. http://dx.doi.org/10.1109/bigdata52589.2021.9671560.

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Janssen, Gerrit, Ilya Verbitskiy, Thomas Renner, and Lauritz Thamsen. "Scheduling Stream Processing Tasks on Geo-Distributed Heterogeneous Resources." In 2018 IEEE International Conference on Big Data (Big Data). IEEE, 2018. http://dx.doi.org/10.1109/bigdata.2018.8622651.

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Shah, Purnima, Deepak Hiremath, and Sanjay Chaudhary. "Towards development of spark based agricultural information system including geo-spatial data." In 2017 IEEE International Conference on Big Data (Big Data). IEEE, 2017. http://dx.doi.org/10.1109/bigdata.2017.8258336.

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Holmberg, Ted, Elias Ioup, and Mahdi Abdelguerfi. "A Stochastic Geo-spatiotemporal Bipartite Network to Optimize GCOOS Sensor Placement Strategies." In 2022 IEEE International Conference on Big Data (Big Data). IEEE, 2022. http://dx.doi.org/10.1109/bigdata55660.2022.10020928.

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Meng, Chuishi, Yu Cui, Qing He, Lu Su, and Jing Gao. "Travel purpose inference with GPS trajectories, POIs, and geo-tagged social media data." In 2017 IEEE International Conference on Big Data (Big Data). IEEE, 2017. http://dx.doi.org/10.1109/bigdata.2017.8258062.

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Informes sobre el tema "Big geo data"

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Wang, Yifeng. Big-Data-Driven Geo-Spatiotemporal Correlation Analysis between Precursor Pollen and Influenza and its Implication to Novel Coronavirus Outbreak. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1668134.

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Vesselinov, Velimir, Daniel O'Malley, Luke Frash, et al. Geo Thermal Cloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration, and Development of Hidden Geothermal Resources. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1782607.

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Saz-Carranza, Angel, Oscar Fernández, Marie Vandendriessche, Javier Franco, and Núria Agell. Citizen Perceptions on EU Security and Defence Integration: A Big Data-based Analysis. EsadeGeo. Center for Global Economy and Geopolitics, 2022. https://doi.org/10.56269/202209/asc.

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As European integration has advanced, public opinion on the EU has increasingly come into the spotlight. Yet when it comes to the EU’s Common Security and Foreign Policy (CFSP) and its Common Security and Defence Policy (CSDP), research into acceptability of integration is still “in its infancy” (Biedenkopf et al., 2021, p. 339). Building on an analytical framework of acceptability developed by Michaels &amp; Kissack (2021), this paper sets out to investigate public beliefs and perceptions through big data-based analysis of security-related news published around the world. Our research design
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Park, Soontae, Antonio García Zaballos, Enrique Iglesias Rodriguez, et al. Roadmap for the Establishment of a Big Data Analysis Center for Critical Infrastructure Protection in Latin America and the Caribbean post COVID-19. Inter-American Development Bank, 2022. http://dx.doi.org/10.18235/0003930.

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This report, a joint effort between the Korea Internet &amp; Security Agency (KISA) and Inter-American Development Bank (IDB), emphasizes the rising importance of critical infrastructure protection for the Latin American and Caribbean (LAC) region and proposes ways to overcome existing and potential cybersecurity threats. Considering the unexpected and high-speed transformations brought on by the COVID-19 pandemic, it is important to get prepared for imminent threats. The report examines the status of information and communication technology (ICT) infrastructure protection in the region and su
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Toivonen, Tuuli, Aina Brias Guinart, Johanna Eklund, Hästbacka Matti, Leppämäki Tatu, and Torkko Jussi. Potential of mobile big data for visitor monitoring : Report of the MOBICON workshop held in Helsinki 28.9.2023. Digital Geography Lab, University of Helsinki, 2023. http://dx.doi.org/10.31885/2024.030501.

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The Changes in Nature Visitation and the Potential of Mobile Big Data for Visitor Monitoring workshop was held in Helsinki on 28.9.2023. We organized the workshop as part of the five-year MOBICON research project (Mobile Big Data for Understanding People in Nature - Detecting short- and long-term changes and their implications for biodiversity conservation) funded by Kone Foundation. The aim of the workshop was to collect expert opinions related to the changes in the recreational use of nature, the monitoring needs related to the changing visitations, and to discuss the possibilities of variou
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Sınağ, Ali. Ar-Ge Ekosistemimizde Üniversitelerimiz. İLKE İlim Kültür Eğitim Vakfı, 2021. http://dx.doi.org/10.26414/pn020.

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Üniversitelerin araştırma çıktılarının ekonomik kazanıma dönüştürülmesi, sektöre sağladıkları teknoloji ve bilgi transferi, yetiştirdikleri araştırmacıların sanayiye katkıları ve oluşturdukları yenilik ekosistemi düşünüldüğünde, ülkemizin kalkınmasına üst düzey katkı sağladıkları açıktır. Ar-Ge ekosistemimizin paydaşları arasında önemli role sahip olan üniversiteler son dönemde büyük bir değişim yaşamaktadır. Üniversitelerimizin girdi odaklı süregelen yapısının çıktı odaklı bir yapıya dönüşmesi, Ar-Ge ekosistemimizin diğer aktörleri olan kamu sektörü ve özel sektör ile iş birliklerinin yeniden
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Van der Maas, Peter, Jesse Wagenaar, Ilse Ubels, and Anne Helbig. Circulair water in de wijk : verkennend onderzoek naar de potenties en belemmering van decentrale systemen voor behandeling en hergebruik van afvalwater en regenwater in woonwijken. Hogeschool van Hall Larenstein, 2024. http://dx.doi.org/10.31715/2024.6.

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In Nederland en omringende landen zijn in de afgelopen jaren en decennia verschillende projecten gerealiseerd rond decentrale innovatieve concepten voor afvalwaterbehandeling en gebruik van re-genwater. Om gemeenten, waterschappen en andere belanghebbenden een rationele grondslag te bieden voor keuzes m.b.t. de inrichting van de stedelijke waterketen (wel of niet decentraal, wel of niet brongescheiden), is in dit KIEM project de potentie en beperkingen onderzocht van nieuwe en circulaire sanitatieconcepten, zoals brongescheiden sanitatie en lokaal (her)gebruik van regenwater op woonwijk schaal
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Hunter, Fraser, and Martin Carruthers. Iron Age Scotland. Society for Antiquaries of Scotland, 2012. http://dx.doi.org/10.9750/scarf.09.2012.193.

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The main recommendations of the panel report can be summarised under five key headings:  Building blocks: The ultimate aim should be to build rich, detailed and testable narratives situated within a European context, and addressing phenomena from the longue durée to the short-term over international to local scales. Chronological control is essential to this and effective dating strategies are required to enable generation-level analysis. The ‘serendipity factor’ of archaeological work must be enhanced by recognising and getting the most out of information-rich sites as they appear. o There i
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Sela, Hanan, Eduard Akhunov, and Brian J. Steffenson. Population genomics, linkage disequilibrium and association mapping of stripe rust resistance genes in wild emmer wheat, Triticum turgidum ssp. dicoccoides. United States Department of Agriculture, 2014. http://dx.doi.org/10.32747/2014.7598170.bard.

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The primary goals of this project were: (1) development of a genetically characterized association panel of wild emmer for high resolution analysis of the genetic basis of complex traits; (2) characterization and mapping of genes and QTL for seedling and adult plant resistance to stripe rust in wild emmer populations; (3) characterization of LD patterns along wild emmer chromosomes; (4) elucidation of the multi-locus genetic structure of wild emmer populations and its correlation with geo-climatic variables at the collection sites. Introduction In recent years, Stripe (yellow) rust (Yr) caused
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African Open Science Platform Part 1: Landscape Study. Academy of Science of South Africa (ASSAf), 2019. http://dx.doi.org/10.17159/assaf.2019/0047.

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This report maps the African landscape of Open Science – with a focus on Open Data as a sub-set of Open Science. Data to inform the landscape study were collected through a variety of methods, including surveys, desk research, engagement with a community of practice, networking with stakeholders, participation in conferences, case study presentations, and workshops hosted. Although the majority of African countries (35 of 54) demonstrates commitment to science through its investment in research and development (R&amp;D), academies of science, ministries of science and technology, policies, rec
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