Google Earth Has the “Digital Earth” Been Achieved?
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The Power of Virtual Globes for Valorising Cultural Heritage and Enabling Sustainable Tourism: Nasa World Wind Applications
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-4/W2, 2013 ISPRS WebMGS 2013 & DMGIS 2013, 11 – 12 November 2013, Xuzhou, Jiangsu, China Topics: Global Spatial Grid & Cloud-based Services THE POWER OF VIRTUAL GLOBES FOR VALORISING CULTURAL HERITAGE AND ENABLING SUSTAINABLE TOURISM: NASA WORLD WIND APPLICATIONS M. A. Brovelli a , P. Hogan b , M. Minghini a , G. Zamboni a a Politecnico di Milano, DICA, Laboratorio di Geomatica, Como Campus, via Valleggio 11, 22100 Como, Italy - [email protected], [email protected], [email protected] b NASA Ames Research Center, M/S 244-14, Moffett Field, CA USA - [email protected] Commission IV, Working Group IV/5 KEY WORDS: Cultural Heritage, GIS, Three-dimensional, Virtual Globe, Web based ABSTRACT: Inspired by the visionary idea of Digital Earth, as well as from the tremendous improvements in geo-technologies, use of virtual globes has been changing the way people approach to geographic information on the Web. Unlike the traditional 2D-visualization typical of Geographic Information Systems (GIS), virtual globes offer multi-dimensional, fully-realistic content visualization which allows for a much richer user experience. This research investigates the potential for using virtual globes to foster tourism and enhance cultural heritage. The paper first outlines the state of the art for existing virtual globes, pointing out some possible categorizations according to license type, platform-dependence, application type, default layers, functionalities and freedom of customization. Based on this analysis, the NASA World Wind virtual globe is the preferred tool for promoting tourism and cultural heritage. -
35 - VGI and Beyond: from Data to Mapping
Antoniou, V., Capineri, C. and Haklay, M., 2018. VGI and Beyond: From Data to Mapping. in: A.J. Kent and P. Vujakovic (Eds.), The Routledge Handbook of Mapping and Cartography. Abingdon: Routledge, pp. 475 - 488 35 - VGI and Beyond: From Data to Mapping Vyron Antoniou, Cristina Capineri and Muki (Mordechai) Haklay This chapter will introduce the concept of Volunteered Geographic Information (VGI) within practices of mapping and cartography. Our aim is to provide an accessible overview of the area, which has grown rapidly in the past decade, but first we need to define what we mean by VGI. Defining VGI In a seminal paper published in 2007, Mike Goodchild coined the term Volunteered Geographic Information (VGI) in an effort to describe ‘the widespread engagement of large numbers of private citizens, often with little in the way of formal qualifications, in the creation of geographic information’ (Goodchild, 2007: 217). At that point, rudimentary crowdsourced Geographic Information (GI) was created and disseminated freely with the help of innovative desktop applications (e.g. Google Earth) or web-based platforms (e.g. Wikimapia, OpenStreetMap). By crowdsourcing we refer to the action of multiple participants (sometimes thousands or even millions) in the generation of geographical information, when these participants are external to the organization that manages the information and are not formally employed by it. Since then a lot has changed and VGI now has a deep and broad agenda that ranges from implicitly contributed GI through social networks to rigorously-monitored citizen science projects. However, before we continue the discussion on this subject, it is necessary to shed light onto the key factors that have helped to create this phenomenon. -
Eventful Cloud Service
1 Eventful Cloud Service Ibraheem Alhashim School of Computing Science Simon Fraser University Surrey, BC, Canada [email protected] Abstract We present a crowd-sourced service that enable users to experience large social events with the focus on the context of the captured media. In order to enable such a rich experience, a centralized service needs to organize and annotate a large number of media files including photos, videos, and live streams. Our cloud based service receives user generated content and construct a 3D representation of the physical world. The system uses structure from motion algorithms to estimate camera poses of the contributed media. This information is used in a 3D media viewer that allows users to explore many images and videos in their original context. We demonstrate the potential of such a service with a proof-of-concept implementation applied on a small dataset of media items. I. INTRODUCTION A number of user-generated media sharing web services have emerged in recent years. An early prominent example of these services is the Flickr image and video hosting website [1]. The ability to publicly share user media have also expanded to most social networking sites such as Facebook, Twitter, and Instagram all of which have millions of active users. Most of these services organize their media based on authors, album collections, playlists, or user assigned tags. Other services, such as Google’s Panoramio and 360Cities, focus on geotagged content that relates to physical locations and so organize their media spatially. All of these services allow users to explore past events after the media is collected and organized, thus losing the excitement and appeal associated with live events. -
Next-Generation Digital Earth
Next-generation Digital Earth Michael F. Goodchilda,1, Huadong Guob, Alessandro Annonic, Ling Biand, Kees de Biee, Frederick Campbellf, Max Cragliac, Manfred Ehlersg, John van Genderene, Davina Jacksonh, Anthony J. Lewisi, Martino Pesaresic, Gábor Remetey-Fülöppj, Richard Simpsonk, Andrew Skidmoref, Changlin Wangb, and Peter Woodgatel aDepartment of Geography, University of California, Santa Barbara, CA 93106; bCenter for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China; cJoint Research Centre of the European Commission, 21027 Ispra, Italy; dDepartment of Geography, University at Buffalo, State University of New York, Buffalo, NY 14261; eFaculty of Geo-Information Science and Earth Observation, University of Twente, 7500 AE, Enschede, The Netherlands; fFred Campbell Consulting, Ottawa, ON, Canada K2H 5G8; gInstitute for Geoinformatics and Remote Sensing, University of Osnabrück, 49076 Osnabrück, Germany; hD_City Network, Newtown 2042, Australia; iDepartment of Geography and Anthropology, Louisiana State University, Baton Rouge, LA 70803; jHungarian Association for Geo-Information, H-1122, Budapest, Hungary; kNextspace, Auckland 1542, New Zealand; and lCooperative Research Center for Spatial Information, Carlton South 3053, Australia Edited by Kenneth Wachter, University of California, Berkeley, CA, and approved May 14, 2012 (received for review March 1, 2012) A speech of then-Vice President Al Gore in 1998 created a vision for a Digital Earth, and played a role in stimulating the development of a first generation of virtual globes, typified by Google Earth, that achieved many but not all the elements of this vision. The technical achievements of Google Earth, and the functionality of this first generation of virtual globes, are reviewed against the Gore vision. -
A Companion to Contemporary Documentary Filn1
A Companion to Contemporary Documentary Filn1 Edited by Alexandra Juhasz and Alisa Lebow WI LEY Blackwell 2 o ,�- This edition first published 2015 © 2015 John Wiley & Sons, Inc, excepting Chapter 1 © 2014 by the Regents of the University of Minnesota and Chapter 19 © 2007 Wayne State University Press Registered Office John Wiley & Sons, Ltd, The Atrium, Southern Gate, Chichester, West Sussex, PO19 8SQ, UK Contents Editorial Offices 350 Main Street, Malden, MA 02148-5020, USA 9600 Garsington Road, Oxford, OX4 2DQ, UK The Atrium, Southern Gate, Chichester, West Sussex, PO19 8SQ, UK For details of our global editorial offices,for customer services, and for informationabout how to apply for permission to reuse the copyright material in this book please see our website at www.wiley.com/wiley-blackwell. The right of Alexandra Juhasz and Alisa Lebow to be identifiedas the authors of the editorial material in this work has been asserted in accordance with the UK Copyright, Designs and Patents Act 1988. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, except as permitted by the UK Copyright, Designs and Patents Act 1988, without the prior permission of the publisher. Wiley also publishes its books in a variety of electronic formats. Some content that appears in print Notes on Contributors ix may not be available in electronic books. Introduction: A World Encountered 1 Designations used by companies to distinguish their products are often claimed as trademarks. All Alexandra Juhasz and Alisa Lebow brand names and product names used in this book are trade names, service marks, trademarks or registered trademarks of their respective owners. -
Your Business Identity on Google: Be Found, Stand out and Engage
YOUR BUSINESS IDENTITY ON GOOGLE: BE FOUND, STAND OUT AND ENGAGE January 2015 WHAT IS GOOGLE MY BUSINESS? Google My Business made its much-anticipated debut in June Google My Business combines multiple platforms – Google 2014, replacing Google Places for Business and Google+ pages as Search, Google Maps and YouTube – into a single, user-friendly a turnkey, digital solution for local businesses like car dealerships. interface. Existing content from the dealer’s Google+ page is consistent across all Google products. Building an optimized Google My Business page is a crucial step toward strengthening a dealership’s online brand and boosting its visibility in search. BUSINESS DASHBOARD: STEER YOUR GOOGLE MY BUSINESS PAGE IN THE RIGHT DIRECTION Just as a car’s dashboard shows vital information – speedometer, tachometer, fuel, oil and temperature gauges – the Google My Business digital dashboard provides dealers with real-time analytics and performance data. A dealer can access all of their Google services from this central dashboard, edit their business information, add photos, share updates and manage their online reviews. A dealership’s Google My Business page is considered complete and verified if it contains all the required and relevant business information. 1 THE KNOWLEDGE GRAPH IS KEY TO MAXIMIZING ONLINE PRESENCE The Knowledge Graph is the focal point of the Google My Business interface. Located on the right-hand side of a Google Search Engine Results Page (SERP), this highly visible section prominently displays the dealership’s most relevant information: • Business Name • Physical Address • Phone Number • Hours of Operation • Photos • Google Ratings • Snapshot of Google Reviews In the example below, a branded search – using a dealership’s brand name as part of the search string – for “BMW of Riverside” yielded the following results: • A Pay-Per-Click (PPC) ad containing location extension (i.e., dealership address) is served up at the top of the page, which is considered optimal placement. -
Jeocrowd - Collaborative Searching of User-Generated Point Datasets
Jeocrowd - Collaborative Searching of User-Generated Point Datasets George Lamprianidis Dieter Pfoser Institute for the Management of Information Institute for the Management of Information Systems Systems G. Mpakou 17 G. Mpakou 17 11526 Athens, Greece 11526 Athens, Greece [email protected] [email protected] ABSTRACT tion ambiguity. Consider here the example of geotagged Flickr pho- Geospatial data has become an important resource in today’s Web tos. While many of them might refer to the same POI, the recorded applications not only as type of content, but also as metadata. De- coordinate information hardly matches up due to positioning inac- spite its undisputed usefulness, issues need to be addressed with re- curacy, or, simply, wrong geotagging. For example, for large scale spect to the availability, the accuracy, and the cost of the data. The objects different users will record different coordinates. Some of advent of Web2.0 created several creative-commons initiatives ad- them might even capture the POI from a distance, which will set the dressing geospatial dataset creation and countless (mobile) applica- coordinates completely off. tions have been producing large amounts of point cloud datasets. The objective of this work is to transform available UG geocon- In this work, we demonstrate how to query user-contributed point- tent into meaningful chunks of information, geospatial datasets, ob- cloud data using a collaborative Web-based approach. tained with simplicity and speed comparable to that of Web-based search. To achieve this task, we propose a search method utilizing crowdsourcing concepts implemented as a Web-based, collaborative Categories and Subject Descriptors search tool termed Jeocrowd1. -
What3words Geocoding Extensions and Applications for a University Campus
WHAT3WORDS GEOCODING EXTENSIONS AND APPLICATIONS FOR A UNIVERSITY CAMPUS WEN JIANG August 2018 TECHNICAL REPORT NO. 315 WHAT3WORDS GEOCODING EXTENSIONS AND APPLICATIONS FOR A UNIVERSITY CAMPUS Wen Jiang Department of Geodesy and Geomatics Engineering University of New Brunswick P.O. Box 4400 Fredericton, N.B. Canada E3B 5A3 August 2018 © Wen Jiang, 2018 PREFACE This technical report is a reproduction of a thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Engineering in the Department of Geodesy and Geomatics Engineering, August 2018. The research was supervised by Dr. Emmanuel Stefanakis, and support was provided by the Natural Sciences and Engineering Research Council of Canada. As with any copyrighted material, permission to reprint or quote extensively from this report must be received from the author. The citation to this work should appear as follows: Jiang, Wen (2018). What3Words Geocoding Extensions and Applications for a University Campus. M.Sc.E. thesis, Department of Geodesy and Geomatics Engineering Technical Report No. 315, University of New Brunswick, Fredericton, New Brunswick, Canada, 116 pp. ABSTRACT Geocoded locations have become necessary in many GIS analysis, cartography and decision-making workflows. A reliable geocoding system that can effectively return any location on earth with sufficient accuracy is desired. This study is motivated by a need for a geocoding system to support university campus applications. To this end, the existing geocoding systems were examined. Address-based geocoding systems use address-matching method to retrieve geographic locations from postal addresses. They present limitations in locality coverage, input address standardization, and address database maintenance. -
The Pagerank Algorithm and Application on Searching of Academic Papers
The PageRank algorithm and application on searching of academic papers Ping Yeh Google, Inc. 2009/12/9 Department of Physics, NTU Disclaimer (legal) The content of this talk is the speaker's personal opinion and is not the opinion or policy of his employer. Disclaimer (content) You will not hear physics. You will not see differential equations. You will: ● get a review of PageRank, the algorithm used in Google's web search. It has been applied to evaluate journal status and influence of nodes in a graph by researchers, ● see some linear algebra and Markov chains associated with it, and ● see some results of applying it to journal status. Outline Introduction Google and Google search PageRank algorithm for ranking web pages Using MapReduce to calculate PageRank for billions of pages Impact factor of journals and PageRank Conclusion Google The name: homophone to the word “Googol” which means 10100. The company: ● founded by Larry Page and Sergey Brin in 1998, ● ~20,000 employees as of 2009, ● spread in 68 offices around the world (23 in N. America, 3 in Latin America, 14 in Asia Pacific, 23 in Europe, 5 in Middle East and Africa). The mission: “to organize the world's information and make it universally accessible and useful.” Google Services Sky YouTube iGoogle web search talk book search Chrome calendar scholar translate blogger.com Android product news search maps picasaweb video groups Gmail desktop reader Earth Photo by mr.hero on panoramio (http://www.panoramio.com/photo/1127015) 6 Google Search http://www.google.com/ or http://www.google.com.tw/ The abundance problem Quote Langville and Meyer's nice book “Google's PageRank and beyond: the science of search engine rankings”: The men in Jorge Luis Borges’ 1941 short story, “The Library of Babel”, which describes an imaginary, infinite library. -
Review of Digital Globes 2015
A Digital Earth Globe REVIEW OF DIGITAL GLOBES 2015 JESSICA KEYSERS MARCH 2015 ACCESS AND AVAILABILITY The report is available in PDF format at http://www.crcsi.com.au We welcome your comments regarding the readability and usefulness of this report. To provide feedback, please contact us at [email protected] CITING THIS REPORT Keysers, J. H. (2015), ‘Digital Globe Review 2015’. Published by the Australia and New Zea- land Cooperative Research Centre for Spatial Information. ISBN (online) 978-0-9943019-0-1 Author: Ms Jessica Keysers COPYRIGHT All material in this publication is licensed under a Creative Commons Attribution 3.0 Aus- tralia Licence, save for content supplied by third parties, and logos. Creative Commons Attribution 3.0 Australia Licence is a standard form licence agreement that allows you to copy, distribute, transmit and adapt this publication provided you attribute the work. The full licence terms are available from creativecommons.org/licenses/by/3.0/au/legal- code. A summary of the licence terms is available from creativecommons.org/licenses/ by/3.0/au/deed.en. DISCLAIMER While every effort has been made to ensure its accuracy, the CRCS does not offer any express or implied warranties or representations as to the accuracy or completeness of the information contained herein. The CRCSI and its employees and agents accept no liability in negligence for the information (or the use of such information) provided in this report. REVIEW OF DIGITAL GLOBES 2015 table OF CONTENTS 1 PURPOSE OF THIS PAPER ..............................................................................5 -
CAREER: Observing the World Through the Lenses of Social Media
CAREER: Observing the world through the lenses of social media This is a five-year proposal for an integrated research, education, and outreach program on the algorithms and technologies needed for data mining in large, unstructured collections of photographs from online social media. The billions of photos on these sites, including both their visual content and non-visual metadata like text tags, GPS coordinates, and timestamps, contain an enormous amount of latent information about the state of the world and about human activities. The proposed project is based on the hypothesis that if aggregated together, these billions of observations could create virtual ‘distributed cameras’ or ‘social sensor networks’ that produce fundamentally new sources of observational data about the world, with the potential to impact a wide range of scientific disciplines that require such data including ecology, biology, psychology, and sociology. Unlocking this latent information will require innovative algorithms and technologies in data mining, applied machine learning, and large-scale computer vision. The proposed research plan involves both investigating these core technologies and validating them with ap- plications in ecology and psychology through interdisciplinary collaborations. The PI’s expertise and recent work in modeling social networks, mining social media, recognizing objects and scenes, and reconstructing 3D models from large-scale photo collections lays the foundation for this project. The proposed education plans will develop new curricula for data mining and computer vision at both the undergraduate and graduate levels to help prepare students for the era of ‘big data’ jobs that increasingly rely on machine learning, data mining, probabilistic inference, and statistics. -
Places API-Powered Navigation
Places API-Powered Navigation A Case Study with Mercedes-Benz Mike Cheng & Kal Mos Mercedes-Benz Research & Development NA Google Features in Mercedes-Benz Cars Already Connected to Google Services via The MB Cloud • Setup: - Embedded into the HeadUnit - Browser-based - Connects via a BT tethered phone in EU & via embedded phone in USA • Features: - Google Local Search - Street View & Panoramio - Google Map for New S-Class 2 What Drivers Want* Private Contents Hint: More Business Contents Safe Access While Driving • Easy, feature-rich smartphone integration. • Use smartphone for navigation instead of the system installed in their vehicle (47% did that). • Fix destination Input & selection (6 of the top 10 most frequent problems). • One-shot destination entry is the dream. * J.D. Power U.S. Automotive Emerging Technologies Study 2013 - J.D. Power U.S. Navigation Usage & Satisfaction Study 3 What We Have: Digital DriveStyle App • Smartphone-based • Quick update cycle + continuous innovation. • Harness HW & SW power of the smartphone • Uses car’s Display, Microphone, Speakers, Input Controls,.. 4 What We Added A Hybrid Navigation: Onboard Navi Powered by Google Places API • A single “Google Maps” style text entry and search box with auto- complete. • Review G+ Local Photos, Street View, ratings, call the destination phone or navigate. • Overlay realtime information on Google maps such as weather, traffic, ..etc. 5 Challenges Automotive Related Challenges • Reliability requirements • Release cycles • Automotive-grade hardware • Driver distractions