Academic literature on the topic 'Geo-Information Science'

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Journal articles on the topic "Geo-Information Science"

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Deren, LI. "The Geo-spatial Information Science mission." Geo-spatial Information Science 15, no. 1 (March 2012): 1–2. http://dx.doi.org/10.1080/10095020.2012.708142.

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Kumar M., Senthil, and V. Mathivanan. "Geo-Spatial Information for Managing Ambiguity." Indonesian Journal of Electrical Engineering and Computer Science 8, no. 3 (December 1, 2017): 636. http://dx.doi.org/10.11591/ijeecs.v8.i3.pp636-638.

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<p>An innate test emerging in any dataset containing data of space as well as time is vulnerability due to different wellsprings of imprecision. Incorporating the effect of the instability is a principal while evaluating the unwavering quality (certainty) of any question result from the hidden information. To bargain with vulnerability, arrangements have been proposed freely in the geo-science and the information science look into group. This interdisciplinary instructional exercise crosses over any barrier between the two groups by giving an exhaustive diagram of the distinctive difficulties required in managing indeterminate geo-spatial information, by looking over arrangements from both research groups, and by distinguishing likenesses, cooperative energies and open research issues.</p>
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Albrecht, Jochen. "Towards interoperable geo-information standards: A comparison of reference models for geo-spatial information." Annals of Regional Science 33, no. 2 (May 17, 1999): 151–69. http://dx.doi.org/10.1007/s001680050098.

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Li, DeRen, and ZhenFeng Shao. "The new era for geo-information." Science in China Series F: Information Sciences 52, no. 7 (July 2009): 1233–42. http://dx.doi.org/10.1007/s11432-009-0122-9.

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Zhussupbekov, A. Zh, N. T. Alibekova, S. B. Akhazhanov, N. U. Shakirova, and A. B. Alpyssova. "Geotechnical Geo-Information System of Astana." Soil Mechanics and Foundation Engineering 55, no. 6 (January 2019): 420–24. http://dx.doi.org/10.1007/s11204-019-09558-x.

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He, Long-hua, and Junjie Li. "Geo-Information (Lake Data) Service Based on Ontology." Data Science Journal 6 (2007): S884—S888. http://dx.doi.org/10.2481/dsj.6.s884.

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Liu, Dunlong, Lei He, Qian Wu, Yan Gao, Bin Liu, Shuang Liu, and Han Luo. "Construction and application of the 3D geo-hazard monitoring and early warning platform." Open Geosciences 13, no. 1 (January 1, 2021): 1040–52. http://dx.doi.org/10.1515/geo-2020-0293.

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Abstract As geo-hazard monitoring data increases in category and size, conventional geo-hazard information management systems, without a unified integration framework and visualized data display, are unable to satisfy the urgent needs of geo-hazard information management. Representational State Transfer (REST), a resource-centered service architecture, abstracts data and services into resources for unified Uniform Resource Identifier access, enabling it to take full advantage of HTTP with great flexibility and scalability. Based on the REST service architecture, this paper constructs a 3D geo-hazard monitoring and early warning platform with sound service compatibility and scalability by integrating geographical information, real-time monitoring data, and early warning models into the 3D Digital Earth framework. The platform displays topography, stratum lithology, and relevant information, as well as real-time monitoring data in a 3D visual, and provides early warning services for geo-hazards through access to real-time early warning models. As a result, it is capable of providing comprehensive information management, monitoring, and early warning of multiple geo-hazards, aiding decision-making in disaster prevention and mitigation, and enhancing the information level of geo-hazard prevention and mitigation work.
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Li, Deren. "20th Anniversary editorial: past, present, and future of Geo-spatial Information Science." Geo-spatial Information Science 20, no. 1 (January 2, 2017): 1–2. http://dx.doi.org/10.1080/10095020.2017.1305688.

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Willmes, C., D. Becker, J. Verheul, Y. Yener, M. Zickel, A. Bolten, O. Bubenzer, and G. Bareth. "AN OPEN SCIENCE APPROACH TO GIS-BASED PALEOENVIRONMENT DATA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-2 (June 2, 2016): 159–64. http://dx.doi.org/10.5194/isprsannals-iii-2-159-2016.

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Paleoenvironmental studies and according information (data) are abundantly published and available in the scientific record. However, GIS-based paleoenvironmental information and datasets are comparably rare. Here, we present an Open Science approach for creating GIS-based data and maps of paleoenvironments, and Open Access publishing them in a web based Spatial Data Infrastructure (SDI), for access by the archaeology and paleoenvironment communities. We introduce an approach to gather and create GIS datasets from published non-GIS based facts and information (data), such as analogous maps, textual information or figures in scientific publications. These collected and created geo-datasets and maps are then published, including a Digital Object Identifier (DOI) to facilitate scholarly reuse and citation of the data, in a web based Open Access Research Data Management Infrastructure. The geo-datasets are additionally published in an Open Geospatial Consortium (OGC) standards compliant SDI, and available for GIS integration via OGC Open Web Services (OWS).
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Willmes, C., D. Becker, J. Verheul, Y. Yener, M. Zickel, A. Bolten, O. Bubenzer, and G. Bareth. "AN OPEN SCIENCE APPROACH TO GIS-BASED PALEOENVIRONMENT DATA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-2 (June 2, 2016): 159–64. http://dx.doi.org/10.5194/isprs-annals-iii-2-159-2016.

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Paleoenvironmental studies and according information (data) are abundantly published and available in the scientific record. However, GIS-based paleoenvironmental information and datasets are comparably rare. Here, we present an Open Science approach for creating GIS-based data and maps of paleoenvironments, and Open Access publishing them in a web based Spatial Data Infrastructure (SDI), for access by the archaeology and paleoenvironment communities. We introduce an approach to gather and create GIS datasets from published non-GIS based facts and information (data), such as analogous maps, textual information or figures in scientific publications. These collected and created geo-datasets and maps are then published, including a Digital Object Identifier (DOI) to facilitate scholarly reuse and citation of the data, in a web based Open Access Research Data Management Infrastructure. The geo-datasets are additionally published in an Open Geospatial Consortium (OGC) standards compliant SDI, and available for GIS integration via OGC Open Web Services (OWS).
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Dissertations / Theses on the topic "Geo-Information Science"

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Ogden, Mitchell. "Communications and Methodologies in Crime Geography: Contemporary Approaches to Disseminating Criminal Incidence and Research." Digital Commons @ East Tennessee State University, 2019. https://dc.etsu.edu/etd/3652.

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Many tools exist to assist law enforcement agencies in mitigating criminal activity. For centuries, academics used statistics in the study of crime and criminals, and more recently, police departments make use of spatial statistics and geographic information systems in that pursuit. Clustering and hot spot methods of analysis are popular in this application for their relative simplicity of interpretation and ease of process. With recent advancements in geospatial technology, it is easier than ever to publicly share data through visual communication tools like web applications and dashboards. Sharing data and results of analyses boosts transparency and the public image of police agencies, an image important to maintaining public trust in law enforcement and active participation in community safety.
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Feng, Zhiqiang. "The application of fuzzy classification in geographical information science." Thesis, Lancaster University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.310534.

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Day, Laylita. "Geo-Journalism| GIS for Local News Mapping in Los Angeles and Orange Counties." Thesis, California State University, Long Beach, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10784694.

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Geographic Information Science (GIS) has been working its way into various fields from the public to the private sectors. The world of journalism and news media is no exception and as both fields grow, GIS is becoming an important spatial news reporting tool in journalism as a form of data journalism. Thus this thesis examines the usage of GIS by news reporting agencies for creating maps that accompany news stories and/or are used as the news story. Specifically this research examines how smaller, more local-based news organizations, such as the Long Beach Press Telegram and the Orange County Register (with a comparison to the Los Angeles Times) are or are not using GIS-based mapping within their news stories and how they can better improve or integrate GIS-based maps and interactive mapping on the local level of reporting. This could assist in providing better analyses of local spatial patterns for various news stories and give the local readers a better understanding of their community and the issues related to it.

A mixed-methods approach was applied, which involved qualitative and quantitative methods. This included surveys, interviews and data analysis. The survey respondents were college students (news readers), the interviewees were journalists working with GIS and the data analysis involved examining the news stories of all three newspapers. The findings concluded that the smaller, more local papers are in fact using maps and GIS less than the Los Angeles Times and that most survey respondents (readers) would like to see more and better maps in news stories. The interview answers pointed to how the Los Angeles Times has managed to use and expand that usage of GIS and maps through creative solutions and workarounds to help lessen various barriers, such as budget, lack of skilled journalists, GIS software complexity, and time.

As the world of journalism continues to transform and adapt to digital news reporting, local newspapers’ use of GIS-based tools will also need to increase. This will allow them to better engage and inform readers in the future since GIS will possibly become an extremely useful or even vital tool in spatial news reporting.

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Lobo, Prieston. "A Framework for the Detection of Utility Conflicts Using Geo-Spatial Processing." Thesis, Purdue University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10637625.

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The increasing density of utilities within roadway right-of-way overburdens transportation agencies in two ways. In utility coordination, there is an increased difficulty in the manual identification of utility conflicts, while in utility permitting, there is an increased difficulty in the case-by-case review of utility permits for potential conflicts due to lack of readily available, easily accessible and inter-operable utility location data. This study proposes the development of a utility conflict detection framework within a geo-spatial environment, using non-geospatial utility location data obtained from Indiana Department of Transportation’s (INDOT) Electronic Permitting System (EPS), as a step towards addressing these challenges. The automatic detection of utility conflicts is demonstrated using spatial conflict detection models, wherein a conflict report and a visualization of conflict area/volume are generated. A data-entry GUI is developed to streamline data-entry of utility/highway project design parameters into a geodatabase, which is populated with existing highway and utility location information. The framework is designed to be implemented by state transportation agencies for: (1) early detection of utility conflicts in highway projects (before 60% design) and in utility permitting (before a permit is approved/denied), and (2) to automate the utility conflict detection process. Early detection provides opportunities for transportation agencies to make proactive design decisions, avoiding expensive utility relocation and preventing utility breaks/accidents. Automatic detection eases the burden of utility coordinators and utility permitting engineers, from manual identification of utility conflicts. Illustrative examples of a utility and highway project are used to demonstrate the performance of the framework in automatic detection of potential utility conflicts.

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Severinsen, Jeremy John. "Measuring Trust for Crowdsourced Geographic Information." Thesis, University of Canterbury. Geography, 2015. http://hdl.handle.net/10092/10472.

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In recent years Crowdsourced, or Volunteered, Geographic Information (CGI, VGI), has emerged as a large, up-to-date and easily accessible data source. Primarily attributable to the rise of the Geoweb and widespread use of location enabled technologies, this environment of widespread innovation has repositioned the role of consumers of spatial information. Collaborative and participatory web environments have led to a democratisation of the global mapping process, and resulted in a paradigm shift to the consumer of geographic data also acting as a data producer. With such a large and diverse group of participants actively mapping the globe, the resulting flood of information has become increasingly attractive to authoritative mapping agencies, in order to augment their own spatial data supply chains. The use of CGI would allow these agencies to undertake continuous improvement of their own data and products, adding a dimension of currency that has previously been unattainable due to high associated costs. CGI, however, through its diversity of authorship, presents a quality assurance risk to these agencies should it be included in their authoritative products. Until now, this risk has been insurmountable, with CGI remaining a “Pandora’s Box” which many agencies are reluctant to open. This research presents an algorithmic model that overcomes these issues, by quantifying trust in CGI in order to assess its implied quality. Labeled “VGTrust”, this model assesses information about a data author, its spatial trust, as well as its temporal trust, in order to produce an overall metric that is easy to understand and interpret. The VGTrust model will allow mapping agencies to harness CGI to augment existing datasets, or create new ones, thereby facilitating a targeted quality assurance process and minimizing risk to authoritativeness. This research proposes VGTrust in theory, on the basis of existing examinations of trust issues with CGI. Furthermore, a facilitated case study, “Building Our Footprints” is presented, where VGTrust is deployed to facilitate the capture of a building footprint dataset, the results of which revealing the veracity of the model as a measure to assess trust for these data. Finally, a data structure is proposed in the form of a “geo-molecule”, which allows the full spectrum of trust indicators to be stored a data structure at feature level, allowing the transitivity of this information to travel with each feature following creation. By overcoming the trust issues inherent in CGI, this research will allow the integration of crowdsourced and authoritative data, thereby leveraging the power of the crowd for productive and innovative re-use.
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Antoh, Robert. "An Analysis of the Value Propositions for Integrated 4D BIM-GIS Adoption for Construction supply Chain Management : Assessing Digital Transformation in the Swedish AEC Industry." Thesis, KTH, Fastigheter och byggande, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-297902.

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Logistics and supply chain in the Architecture, Engineering and Construction (AEC) industry can be seen as coordinated collaboration that is subject to managerial risks. The managerial risks are mitigated by Building Information Modelling (BIM) and Geo-Information Science (GIS), which are two distinctive digital transformative tools which are revolutionizing and accelerating the AEC industry in recent years. Many gains have been achieved concerning the capacity of BIM and GIS to enable collaborative workflows that minimize data loss and reduce inefficiencies in construction. In the past decade, most scholarly literature on BIM and GIS integration for supply chain management have focused on coordination and visualization to improve supply chain operational efficiency. While BIM optimizes visualization and manages the data related to specific projects, GIS coordinates and manages the data related to the outside environment of the project. An integrated BIM-GIS adoption for Construction Supply Chain Management (CSCM) offers value propositions for client and contracting organizations as information/data is seamlessly shared among them to guide decision making at every phase of the construction project.  However, no detailed study has been conducted so far on assessments of the value creation 4D BIM-GIS brings to the AEC industry when espoused for CSCM. To fill this gap, this paper aims to identify and prioritize the value propositions to 4D BIM-GIS adoption for CSCM in the Swedish AEC industry. Based on the reflective perceptions and evaluations of the AEC industry, the paper demonstrated the varied opinions from current active users and those who are yet to adopt 4D BIM-GIS for CSCM. ‘Time savings, ‘Increased efficiency and productivity and ‘Improved communication and information sharing’ were ranked as topmost drivers for 4D BIM-GIS adoption. The paper recommends corporate level training as pivotal in familiarizing workers with the new techniques that combine BIM and GIS in AEC practice.
Logistik och försörjningskedjan inom arkitektur, teknik och konstruktion (ABE) kan ses som ett samordnat samarbete med överhängande ledningsrisker. Riskerna som hanteras kan mildras av Byggnadsinformationsmodellering (BIM) och Geografiskt informationssystem (GIS), som är två digitalt distinkta transformativa verktyg som revolutionerat och påskyndat ABE-sektorn de senaste åren. Många vinster har uppnåtts med avseende på kapaciteten av BIM och GIS, vilket har möjliggjort ett samarbetsflöde som minimerat dataförlust och minskat ineffektiviteten i byggandet. Under det senaste decenniet har den mest vetenskapliga litteraturen om BIM- och GIS-integration för ledning av försörjningskedjan fokuserat på samordning och visualisering för att förbättra effektiviteten i försörjningskedjan. BIM optimerar visualisering och hantering av data, relaterat till specifika projekt, medan GIS samordnar och hanterar data relaterat till projektets omgivning. En integrerad BIM-GIS-antagande för konstruktionsledningen av försörjningskedjan (CSCM) erbjuder värdeförslag för klient- och beställarorganisationer, eftersom information / data sömlöst delas mellan dem för att kunna guida beslutsfattandet i varje fas av byggprojektet. Emellertid har ingen detaljerad studie hittills genomförts om bedömningar av värdeskapandet som 4D BIM-GIS ger till ABE-sektorn när de används för CSCM. För att fylla denna kunskapslucka syftar denna studie till att identifiera och prioritera värdeförslag till 4D BIM-GIS-antagande för CSCM i den svenska ABE-sektorn. Baserat på de reflekterande uppfattningarna och utvärderingarna från ABE-sektorn, visar studien de olika åsikterna från de nuvarande aktiva användare och de som ännu inte har antagit 4D BIM-GIS för CSCM. ”Tidsbesparingar,” Ökad effektivitet och produktivitet” och ”Förbättrad kommunikation och informationsdelning” rankades som de främsta drivkrafterna för 4D BIM-GIS-antagande. Studien rekommenderar utbildning på företagsnivå som en central faktor för att bekanta sig med de nya teknikerna som kombinerar BIM och GIS i ABE-sektorn.
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Peiro, Sajjad Hooman. "Towards Unifying Stream Processing over Central and Near-the-Edge Data Centers." Licentiate thesis, KTH, Programvaruteknik och Datorsystem, SCS, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-193582.

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In this thesis, our goal is to enable and achieve effective and efficient real-time stream processing in a geo-distributed infrastructure, by combining the power of central data centers and micro data centers. Our research focus is to address the challenges of distributing the stream processing applications and placing them closer to data sources and sinks. We enable applications to run in a geo-distributed setting and provide solutions for the network-aware placement of distributed stream processing applications across geo-distributed infrastructures.  First, we evaluate Apache Storm, a widely used open-source distributed stream processing system, in the community network Cloud, as an example of a geo-distributed infrastructure. Our evaluation exposes new requirements for stream processing systems to function in a geo-distributed infrastructure. Second, we propose a solution to facilitate the optimal placement of the stream processing components on geo-distributed infrastructures. We present a novel method for partitioning a geo-distributed infrastructure into a set of computing clusters, each called a micro data center. According to our results, we can increase the minimum available bandwidth in the network and likewise, reduce the average latency to less than 50%. Next, we propose a parallel and distributed graph partitioner, called HoVerCut, for fast partitioning of streaming graphs. Since a lot of data can be presented in the form of graph, graph partitioning can be used to assign the graph elements to different data centers to provide data locality for efficient processing. Last, we provide an approach, called SpanEdge that enables stream processing systems to work on a geo-distributed infrastructure. SpenEdge unifies stream processing over the central and near-the-edge data centers (micro data centers). As a proof of concept, we implement SpanEdge by extending Apache Storm that enables it to run across multiple data centers.

QC 20161005

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Mellstrand, Tobias, and Rickard Zwahlen. "Deducing places of interest from clusters of locations." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-192547.

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Some Location Based Services (LBS) can automatically find geographic locations that are relevant to the everyday smartphone user. A relevant location, or place, is a location that is of some significance to a user, e.g. home, workplace, airports or stores. Knowledge of these places can be used to enhance a smartphone application. However, most approaches to finding places are coarse, and simply define a place with a circle or polygon representing a geographical area. Instead this paper explored the feasibility of defining a place by using the natural boundaries found in the information of a map. The developed algorithm calculated the center of a cluster of location points by adding biased weights to each point. A close proximity of the center point was then searched for certain types of map elements such as buildings or parks. Because of time restrictions, map images were used instead of the underlying data. The developed algorithm found the correct place in 78% of the 45 test cases. In 15% of the cases it could not find anything, mainly because the map did not contain sufficiently detailed information about buildings outside of cities. The remaining 7% were incorrect results, some of which might have been remedied by more detailed map information. Overall the suggested approach was viable when a user had been in a building, park, or other clearly defined place, and when there was sufficiently detailed map information. To further this research an algorithm that processes geographical data directly instead of using map images could be tested. It would avoid some of the problems created by having an image as a middle layer between data and algorithm.
Vissa tjänster baserade på användarens geografiska position kan automatiskt hitta områden som är relevanta för en smartphoneanvändare. En relevant plats är ett område som har någon betydelse för en användare, till exempel ett hem, en arbetsplats, flygplats eller butik. Information om dessa platser kan användas för att berika en smartphoneapplikation. De flesta ansatser till att hitta relevanta platser är mindre detaljerade, och definierar en plats med en cirkel eller polygon som beskriver ett geografiskt område. Den här uppsatsen utforskar istället om det är möjligt att definiera en plats genom att använda naturliga gränser som finns i informationen på en karta. Den utvecklade algoritmen beräknade mittpunkten av ett cluster av GPS-punkter genom att partiskt ge varje punkt en vikt. Den sökte sedan igenom ett område runt mittpunkten efter en viss typ av kartelement, till exempel byggnader eller parker. På grund av tidbegränsningar användes kartbilder istället för underliggande geografisk data. Den utvecklade algoritmen hittade rätt plats i 78% av de 45 testfallen. I 15% av fallen hittade den ingen plats, främst på grund av att kartan saknade information om byggnader utanför städer. De resterande 7% var inkorrekta resultat, varav vissa skulle kunna räddats om kartan innehöll information om byggnaderna i området. Generellt var den föreslagna strategin användbar främst när en användare hade varit i en byggnad, park eller annan tydligt avgränsad plats, och när kartan innehöll tillräckligt detaljerad information. För att fortsätta denna undersökning kan en algoritm som använder den underliggande geografiska datan istället för en kartbild utvecklas. Det skulle undvika vissa av problemen som skapas av att ha en bild som mellanlager mellan data och algoritm.
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Menfors, Martina, and Felicia Fernstedt. "Geotagging in social media : exploring the privacy paradox." Thesis, Högskolan i Borås, Akademin för bibliotek, information, pedagogik och IT, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-8685.

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Increasingly, online social media networks allow users to use geotagging. This method of adding location data to various content shared in real time has introduced privacy related issues and threats to the users of such networks. Previous research present opposing findings on whether users actually care about their location privacy or not, and it has also been shown that users often display a behaviour inconsistent with their concerns. When asked, users tend to report high privacy concerns, but in contrast, they will then not let their privacy concerns affect or limit their behaviour online; the privacy paradox is a description of this dichotomy. The problem, however, is not only that location privacy seems to be a paradoxical issue; the sharing of location data provides users with new possibilities that can potentially have negative consequences for them, such as someone else being able to identify one’s identity, home location, habits or other sensitive information. Social media network users communicate that a part of this is due to the lack of control over which information they share, with whom and where.This study employs a qualitative method, using unstructured interviews in a pre-study and a self-completion questionnaire. The purpose of the study is to examine and gain a better understanding of how the privacy paradox can help to better explain users’ location data disclosure preferences in the context of social media networking, and to help social media network developers in order to reduce privacy-related issues in social media networking applications with geotagging capabilities. The findings indicate that the paradox indeed is evident in user’s stated geotagging behaviour, and that users are slightly more worried about their location privacy than their overall online privacy. The conclusions offer a couple of different explanations for the paradox, and we argue that the contradiction of the paradox can be seen as a constant trade-off between benefits and risks of geotagging. We also give some examples of such advantages and disadvantages.
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Cannalire, Pietro. "Geo-distributed multi-layer stream aggregation." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230217.

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The standard processing architectures are enough to satisfy a lot of applications by employing already existing stream processing frameworks which are able to manage distributed data processing. In some specific cases, having geographically distributed data sources requires to distribute even more the processing over a large area by employing a geographically distributed architecture.‌ The issue addressed in this work is the reduction of data movement across the network which is continuously flowing in a geo-distributed architecture from streaming sources to the processing location and among processing entities within the same distributed cluster. Reduction of data movement can be critical for decreasing bandwidth costs since accessing links placed in the middle of the network can be costly and can increase as the amount of data exchanges increase. In this work we want to create a different concept to deploy geographically distributed architectures by relying on Apache Spark Structured Streaming and Apache Kafka. The features needed for an algorithm to run on a geo-distributed architecture are provided. The algorithms to be executed on this architecture apply the windowing and the data synopses techniques to produce a summaries of the input data and to address issues of the geographically distributed architecture. The computation of the average and the Misra-Gries algorithm are then implemented to test the designed architecture. This thesis work contributes in providing a new model of building geographically distributed architecture. The experimental results show that, for the algorithms running on top of the geo distributed architecture, the computation time is reduced on average by 70% compared to the distributed setup. Similarly, and the amount of data exchanged across the network is reduced on average by 99%, compared to the distributed setup.
Standardbehandlingsarkitekturer är tillräckligt för uppfylla behoven av många tillämpningar genom användning av befintliga ramverk för flödesbehandling med stöd för distribuerad databehandling. I specifika fall kan geografiskt fördelade datakällor kräva att databehandlingen fördelas över ett stort område med hjälp av en geografiskt distribuerad arkitektur. Problemet som behandlas i detta arbete är minskningen av kontinuerlig dataöverföring i ett nätverk med geo-distribuerad arkitektur. Minskad dataöverföring kan vara avgörande för minskade bandbreddskonstnader då åtkomst av länkar placerade i mitten av ett nätverk kan vara dyrt och öka ytterligare med tilltagande dataöverföring. I det här arbetet vill vi skapa ett nytt koncept för att upprätta geografiskt distribuerade arkitekturer med hjälp av Apache Spark Structured Streaming och Apache Kafka. Funktioner och förutsättningar som behövs för att en algoritm ska kunna köras på en geografisk distribuerad arkitektur tillhandahålls. Algoritmerna som ska köras på denna arkitektur tillämpar “windowing synopsing” och “data synopses”-tekniker för att framställa en sammanfattning av ingående data samt behandla problem beträffande den geografiskt fördelade arkitekturen. Beräkning av medelvärdet och Misra-Gries-algoritmen implementeras för att testa den konstruerade arkitekturen. Denna avhandling bidrar till att förse ny modell för att bygga geografiskt distribuerad arkitektur. Experimentella resultat visar att beräkningstiden reduceras i genomsnitt 70% för de algoritmer som körs ovanför den geo-distribuerade arkitekturen jämfört med den distribuerade konfigurationen. På liknande sätt reduceras mängden data som utväxlas över nätverket med 99% i snitt jämfört med den distribuerade inställningen.
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Books on the topic "Geo-Information Science"

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Shi, Wenzhong. Advances in geo-spatial information science. Boca Raton, FL: CRC Press, 2012.

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Di qiu xin xi ke xue: Geo-information science. Beijing Shi: Gao deng jiao yu chu ban she, 2007.

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Guo jia yao gan zhong xin (China). Di qiu kong jian xin xi ke xue ji shu jin zhan =: Advance in geo-spatial information science and technology. Beijing Shi: Dian zi gong ye chu ban she, 2009.

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Lee, Jiyeong, and Sisi Zlatanova, eds. 3D Geo-Information Sciences. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-87395-2.

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International Workshop on 3D Geo-Information (3rd 2008 Seoul, Korea). 3D geo-information sciences. Berlin: Springer, 2009.

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Neutens, Tijs. Developments in 3D geo-information sciences. Edited by International Workshop on 3D Geo-Information (4th : 2009 : Ghent, Belgium). Heidelberg: Springer, 2010.

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Isikdag, Umit, ed. Innovations in 3D Geo-Information Sciences. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-00515-7.

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Neutens, Tijs, and Philippe Maeyer, eds. Developments in 3D Geo-Information Sciences. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-04791-6.

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Kolbe, Thomas H., Gerhard König, and Claus Nagel, eds. Advances in 3D Geo-Information Sciences. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-12670-3.

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Kolbe, Thomas H. Advances in 3D Geo-Information Sciences. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.

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Book chapters on the topic "Geo-Information Science"

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Konstantas, Dimitri, Alfredo Villalba, Giovanna Di Marzo Serugendo, and Katarzyna Wac. "User Defined Geo-referenced Information." In Communications in Computer and Information Science, 1–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-05201-9_1.

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Ambrose, Stephen D. "Extension of NASA’s Science and Technology Results, Earth Observations for Decision Support." In Geo-information for Disaster Management, 655–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/3-540-27468-5_47.

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Takale, Sheetal, and Prakash Kulkarni. "Extract Knowledge About Geo-Location Using Context and Content Information of Geo-Tagged Social Media." In Lecture Notes in Computer Science, 601–15. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26190-4_40.

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Kerdprasop, Kittisak, and Nittaya Kerdprasop. "Geo-Information Knowledge Base System for Drought Pattern Search." In Computational Science and Its Applications -- ICCSA 2016, 332–44. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42111-7_26.

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Rafa, Tahar, and Samir Kechid. "A Semantic-Based Personalized Information Retrieval Approach Using a Geo-Social User Profile." In Communications in Computer and Information Science, 301–13. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99133-7_25.

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El-Safty, Ahmed, Bernhard Schmitz, and Thomas Ertl. "An OpenStreetMap Editing Interface for Visually Impaired Users Based on Geo-semantic Information." In Lecture Notes in Computer Science, 116–19. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08599-9_18.

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Yilmaz, Ibrahim, and Mustafa Yilmaz. "Geo-Environmental Information About Tunisian Cities and Coasts Within Kitab-ı Bahriye." In Recent Advances in Environmental Science from the Euro-Mediterranean and Surrounding Regions, 1387–89. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-70548-4_405.

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Goodrich, Chanda Gurung, Kamala Gurung, and Menaka Hamal. "Gender Integration in Earth Observation and Geo-information Technology Applications: Correlation and Connections." In Earth Observation Science and Applications for Risk Reduction and Enhanced Resilience in Hindu Kush Himalaya Region, 291–306. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73569-2_15.

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AbstractAs technological innovation and advancement is sweeping across the world, transforming economies, countries, and societies, Earth observation (EO) and geo-information technologies (GIT) have come closer to the public realm and become exceedingly an all-encompassing part in the daily lives of people, with more uses and users. These technologies today are not just “research and visualization tools”, but they touch upon all aspects of people’s lives, bringing in advantages as well as challenges for different groups of people.
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Izzi, Francesco, Giuseppe La Scaleia, Dimitri Dello Buono, Francesco Scorza, and Giuseppe Las Casas. "Enhancing the Spatial Dimensions of Open Data: Geocoding Open PA Information Using Geo Platform Fusion to Support Planning Process." In Lecture Notes in Computer Science, 622–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39646-5_45.

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Matin, Mir A., and Sheikh Tawhidul Islam. "Geospatial Applications in the HKH Region: Country Needs and Priorities." In Earth Observation Science and Applications for Risk Reduction and Enhanced Resilience in Hindu Kush Himalaya Region, 41–57. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73569-2_3.

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AbstractGeospatial information, defined as information that refers to a location on Earth, is becoming a critical tool in governance (Chantillon et al. in ISPRS Int J Geo-Inf 6, 2017). Over the last decade, such information has become part of mainstream information management, thereby creating a massive demand for geospatial content and solutions among individuals, private companies, and government agencies.
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Conference papers on the topic "Geo-Information Science"

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Wu, Fang, Jing Bai, Bolin Zhu, Weiwei Ma, Jun Sun, and Guixiang Zheng. "Reviewing Geo-Information Science for Port Information Management in China." In Second International Conference on Transportation Information and Safety. Reston, VA: American Society of Civil Engineers, 2013. http://dx.doi.org/10.1061/9780784413036.330.

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Caiaffa, E., S. Cardinali, A. Screpanti, and E. Valpreda. "Geographic Information Science: a Step Toward Geo-governance Solutions." In Communication Technologies: from Theory to Applications (ICTTA). IEEE, 2008. http://dx.doi.org/10.1109/ictta.2008.4529956.

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Dong, Suocheng, and Xiaoli Hou. "Application of geo-information science methods in ecotourism exploitation." In Optical Science and Technology, the SPIE 49th Annual Meeting, edited by Wei Gao and David R. Shaw. SPIE, 2004. http://dx.doi.org/10.1117/12.563266.

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Liu, Qiang, and Boyan Cheng. "Constructing Geo-Information Sharing GRID Architecture." In 2009 International Conference on Management and Service Science (MASS). IEEE, 2009. http://dx.doi.org/10.1109/icmss.2009.5305367.

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Zou, Zhiqiang, Bin Hu, Wanming Huang, and Jiagao Wu. "Service-Oriented Spatial Information Sharing Model Using Geo-ontology." In 2009 WRI World Congress on Computer Science and Information Engineering. IEEE, 2009. http://dx.doi.org/10.1109/csie.2009.616.

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Shi, Wenzhong. "Development of geo-spatial information science and technology - with our practices in PolyU." In International Conference on Space information Technology, edited by Cheng Wang, Shan Zhong, and Xiulin Hu. SPIE, 2005. http://dx.doi.org/10.1117/12.655678.

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Raflesia, Sarifah Putri, Firdaus, and Dinda Lestarini. "An Integrated Child Safety using Geo-fencing Information on Mobile Devices." In 2018 International Conference on Electrical Engineering and Computer Science (ICECOS). IEEE, 2018. http://dx.doi.org/10.1109/icecos.2018.8605200.

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Domingues, Marcos Aurelio, and Maria da Graca Campos Pimentel. "Exploiting geo-referenced data as contextual information into context-aware recommender systems." In 2017 36th International Conference of the Chilean Computer Science Society (SCCC). IEEE, 2017. http://dx.doi.org/10.1109/sccc.2017.8405110.

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Yang, Ke-ming, Jin-bang Xiao, Meng-ting Duan, Bo Pang, Yi-bin Wang, and Ran Wang. "Geo-Deformation Information Extraction and GIS Analysis on Important Buildings by Underground Mining Subsidence." In 2009 International Conference on Information Engineering and Computer Science. IEEE, 2009. http://dx.doi.org/10.1109/iciecs.2009.5362679.

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Tomaszewski, Brian, and Alan M. MacEachren. "Geo-historical context support for information foraging and sensemaking: Conceptual model, implementation, and assessment." In 2010 IEEE Symposium on Visual Analytics Science and Technology (VAST). IEEE, 2010. http://dx.doi.org/10.1109/vast.2010.5652895.

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