User Generated Spatial Content Sources for Land Use/Land Cover Validation Purposes: Suitability Analysis and Integration Model
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Mapping the Space of Location-Based Services 5
CHARLIEDETAR MAPPINGTHESPACEOFLOCATION- BASEDSERVICES 2 charlie detar Abstract This paper is an attempt to both summarize the current state of Lo- cation Based Services (LBS), and to unpack and problematize the underlying assumptions on which they operate. Location based ser- vices — including applications for mapping and navigation, social networking, gaming, and tourism and information services — are all based on the idea that information about a user’s location can be used to adapt the content and user interface of a service, improving it. However, the “location” used by these systems is usually restricted to data-poor representations such as geographic coordinates, and as such provides an insufficient cue for the rich and culturally contin- gent context embodied in the notion of a “place”. I will argue that developers should consider both the salience of the particular place- or space-based context to their application domain, and the potential impacts the application will have on a user’s sense of place when designing location based services. Contents 1 Introduction: Location, Location, Location 4 2 Space: the geometry of location 7 3 Place: the interpretation of location 12 4 Technology of space and place 17 5 Space, place, and location based services 22 6 Conclusion 45 7 Bibliography 46 1 Introduction: Location, Location, Location Location is a deep component of how we experience the world — it encapsulates not only a mathematical abstraction for our positions in space, but also a rich set of cultural meanings that we associate with particular places, which bound and contextualize our experience. The concept of “place” combines both geography and sociality — one has a “place” in relation to other people (and deviant behavior is “out of place”). -
0.85A Short Introduction to Volunteered Geographic Information [0.1Cm]Presentation of the Openstreetmap Project
M GIS A Short Introduction to Volunteered Geographic Information Presentation of the OpenStreetMap Project Sylvain Bouveret { LIG-STeamer / Universit´eGrenoble-Alpes Quatri`eme Ecole´ Th´ematique du GDR Magis. S`ete, September 29 { October 3, 2014 Sources I Part of the presentation dedicated to OSM inspired from: I An old joint presentation with N. Petersen and Ph. Genoud I Nicolas Moyroud: Several talks from 3rd MAGIS summer school 2012 Released under licence CC-BY-SA and downloadable here: http://libreavous.teledetection.fr. I Guillaume All`egre: Cartographie libre du monde: OpenStreetMap Released under licence CC-BY-SA. I Reference book about VGI [Sui et al., 2013] I Other references cited throughout the presentation Sui, D. Z., Elwood, S., and Goodchild, M., editors (2013). Crowdsourcing geographic knowledge: Volunteered Geographic Information (VGI) in Theory and Practice. Springer. ´ M GIS 2 / 107 GdR MAGIS { Ecole de G´eomatique 29 septembre au 3 octobre 2014 { S`ete Outline 1. Introduction to Volunteered Geographic Information 2. Presentation of the OpenStreetMap Project 3. Using OpenStreetMap Data 4. Using Volunteered Geographic Information ´ M GIS 3 / 107 GdR MAGIS { Ecole de G´eomatique 29 septembre au 3 octobre 2014 { S`ete Outline 1. Introduction to to Volunteered Volunteered Geographic Geographic Information Information 2. Presentation of the OpenStreetMap Project 3. Using OpenStreetMap Data 4. Using Volunteered Geographic Information ´ M GIS 3 / 107 GdR MAGIS { Ecole de G´eomatique 29 septembre au 3 octobre 2014 { S`ete Outline 1. Introduction to Volunteered Geographic Information 2. Presentation of of the the OpenStreetMap OpenStreetMap Project Project 3. Using OpenStreetMap Data 4. Using Volunteered Geographic Information ´ M GIS 3 / 107 GdR MAGIS { Ecole de G´eomatique 29 septembre au 3 octobre 2014 { S`ete Outline 1. -
Openstreetmap: Using, and Contributing To, the Free World Map Pdf
FREE OPENSTREETMAP: USING, AND CONTRIBUTING TO, THE FREE WORLD MAP PDF Frederik Ramm,Jochen Topf,Steve Chilton | 386 pages | 01 Oct 2010 | UIT Cambridge | 9781906860110 | English | Cambridge, United Kingdom About OpenStreetMap - OpenStreetMap Wiki If you contribute significantly the Free World Map the OpenStreetMap project you should have a voice in the OpenStreetMap Foundationwhich is supporting the project, and be able to vote for the board members of your choice. There is now an easier and costless way to become an OpenStreetMap Foundation member:. The volunteers of the OSMF Membership Working Group have just implemented the active contributor membership programwhere you can easily apply to become an Associate member of the Foundation and there is no need to pay the membership fee. How does it work? We will automatically grant associate memberships to mappers who request it and who have contributed at least 42 calendar days in the last year days. Not everyone contributes by mapping, and some of the most familiar names in our OpenStreetMap: Using list barely map. Some are very involved, for example, in organizing conferences. Those other forms of contribution should be recognised as well. If you do the Free World Map map at all or less than the 42 days, then we expect you to write a paragraph or two about what you do for OpenStreetMap. The Board will then vote on your application. Just like paid membership, membership under the membership fee waiver programme must be renewed annually. You will get a reminder, and you then can request the renewal, similar to the initial application. -
16 Volunteered Geographic Information
16 Volunteered Geographic Information Serena Coetzee, South Africa 16.1 Introduction In its early days the World Wide Web contained static read-only information. It soon evolved into an interactive platform, known as Web.2.0, where content is added and updated all the time. Blogging, wikis, video sharing and social media are examples of Web.2.0. This type of content is referred to as user-generated content. Volunteered geographic information (VGI) is a special kind of user-generated content. It refers to geographic information collected and shared voluntarily by the general public. Web.2.0 and associated advances in web mapping technologies have greatly enhanced the abilities to collect, share and interact with geographic information online, leading to VGI. Crowdsourcing is the method of accomplishing a task, such as problem solving or the collection of information, by an open call for contributions. Instead of appointing a person or company to collect information, contributions from individuals are integrated in order to accomplish the task. Contributions are typically made online through an interactive website. Figure 16.1 The OpenStreetMap map page. In the subsequent sub-sections, examples of crowdsourcing and volunteered geographic information establishment and growth of OpenStreetMap have been devices, aerial photography, and other free sources. This are described, namely OpenStreetMap, Tracks4Africa, restrictions on the use or availability of geospatial crowdsourced data is then made available under the the Southern African Bird Atlas Project.2 and Wikimapia. information across much of the world and the advent of Open Database License. The site is supported by the In the additional sub-sections a step-by-step guide to inexpensive portable satellite navigation devices. -
Backsplash Patterns for Your World: a Look at SAS® Openstreetmap (OSM) Tile Servers Barbara B
MWSUG 2018 - Paper SB-034 Backsplash Patterns for Your World: A Look at SAS® OpenStreetMap (OSM) Tile Servers Barbara B. Okerson, Manteo, NC ABSTRACT Originally limited to SAS Visual Analytics, SAS now provides the ability to create background maps with street and other detail information in SAS/GRAPH® using open source map data from OpenStreetMap (OSM). OSM provides this information using background tile sets available from various tile servers, many available at no cost. This paper provides a step-by-step guide for using the SAS OSM Annotate Generator (the SAS tool that allows use of OSM data in SAS). Examples include the default OpenStreetMap tile server for streets and landmarks, as well as how to use other free tile sets that provide backgrounds ranging from terrain mapping to bicycle path mapping. Dare County, North Carolina is used as the base geographic area for this presentation. INTRODUCTION OpenStreetMap is a source of mapping data built by a community of mappers that contribute and maintain data about roads, trails, cafés, railway stations, and much more, all over the world. OSM is open data and can freely be used for any purpose as long as OpenStreetMap and its contributors are credited. In other words, OSM is a collaborative project to create a free and editable map of the world. It is supported by the OpenStreetMap Foundation, a non-profit registered in England and Wales. The OSM project was started because geographic data is not free in many parts of the world. For example, Google maps data is copyrighted by many organizations and licensed by Google, therefore not free to use without permission. -
Deriving Incline for Street Networks from Voluntarily Collected GPS Traces
Methods of Geoinformation Science Institute of Geodesy and Geoinformation Science Faculty VI Planning Building Environment MASTER’S THESIS Deriving incline for street networks from voluntarily collected GPS traces Submitted by: Steffen John Matriculation number: 343372 Email: [email protected] Supervisors: Prof. Dr.-Ing. Marc-O. Löwner (TU Berlin) Dr.-Ing. Stefan Hahmann (Universität Heidelberg) Submission date: 24.07.2015 in cooperation with: GIScience Group Institute of Geography Faculty of Chemistry and Earth Sciences Declaration of Authorship I, Steffen John, declare that this thesis titled, 'Deriving incline for street networks from voluntarily collected GPS traces’ and the work presented in it are my own. I confirm that: This work was done wholly or mainly while in candidature for a research degree at this Uni- versity. Where any part of this thesis has previously been submitted for a degree or any other qualifi- cation at this University or any other institution, this has been clearly stated. Where I have consulted the published work of others, this is always clearly attributed. Where I have quoted from the work of others, the source is always given. With the exception of such quotations, this thesis is entirely my own work. I have acknowledged all main sources of help. Where the thesis is based on work done by myself jointly with others, I have made clear exact- ly what was done by others and what I have contributed myself. Signed: Date: ii Abstract The knowledge of incline is useful for many use-cases in navigation for electricity-powered vehicles, cyclists or mobility-restricted people (e.g. -
GPS Unit Or Cell Phone with GPS/Maps GPS Devices
GPS Unit or Cell Phone with GPS/Maps GPS Devices Survey/GIS High quality GIS grade (Trimble, Astech, Javad) Consumer Handheld (Garmin, Magellan, Lowrance) Car (TomTom, Magellan, Garmin) Fishing (Lowrance, Garmin, Hummingbird) Cell Phones Early models (no GPS/AGPS) Current Phones (with GPS/AGPS to support GPS for E911 calls) Simple Phone –not web/data (prepaid or plan) Basic Phone with ability to access web/data Smart Phone Limit to accuracy ~ 5m (16ft) GPS/GNSS ‐ Smartphones (quick tips; there are many others) Regular Web Based iOS Phones Basic ; waypoints/tracks Verizon VZ Navigator MotionX‐GPS, Gaia GPS, GPS Kit AT&T TeleNav GPS Navigator Drive –Car ‐ Traffic Google Maps, MotionX‐Drive, Cheap Gas!, Scout, Navigon‐$, Tom Tom 1.3, Magellan RoadMate‐$, Garmin‐$ AmAze, Waze (crowdsourcing) Social Foursquare, Facebook Places, Twitter Geolocation Android Window Mobile Basic ; waypoints/tracks Gaia GPS‐$, GPS Essential, GPS Status (various; will update soon) Symbian‐Nokia Drive –Car‐ Traffic Ovi Map Google Maps Navigation, Gas Buddy Waze Now Windows Sygic, MapQuest, Waze (crowdsourcing) Mobile Social Foursquare, Facebook Places, Twitter Geolocation Thomas Friedman, NY TIMES, 3/2/2012; " Six years ago Facebook did exist, Tweet was a sound, the Cloud was still in the sky, 4G was a parking place, LinkedIn was a prison, applications were what you sent to college and Skype was a typo for most people." GPS/GNSS ‐ Smartphones‐ Minor mention iOS or Android apps Trapster GeoCaching Extra credit option: Find a Geocache http://www.geocaching.com 1 point for each cache found & recorded (up to 5 points maximum) To record your “finds” you will need to sign up at http://www.geocaching.com (free) and “friend” my ID, so I can verify your “finds” My geocaching.com ID is ajenks. -
Arxiv:2008.02653V2 [Cs.CY] 12 Oct 2020 P a Fteerpa Commission
OPENSTREETMAP DATA USE CASES DURING THE EARLY MONTHS OF THE COVID-19 PANDEMIC A PREPRINT SUBMITTED TO THE UN GGIM EDITED VOLUME: COVID-19: GEOSPATIAL INFORMATION AND COMMUNITY RESILIENCE Peter Mooney A. Yair Grinberger Department of Computer Science Department of Geography Maynooth University, Ireland Hebrew University of Jerusalem, Israel [email protected] [email protected] Marco Minghini∗ Digital Economy Unit European Commission, Joint Research Centre, Italy [email protected] Serena Coetzee Levente Juhasz Department of Geography, Geoinformatics and Meteorology GIS Center University of Pretoria, South Africa Florida International University, USA [email protected] [email protected] Godwin Yeboah Institute for Global Sustainable Development University of Warwick, UK [email protected] October 13, 2020 Abstract arXiv:2008.02653v2 [cs.CY] 12 Oct 2020 Created by volunteers since 2004, OpenStreetMap (OSM) is a global geographic database available under an open access license and currently used by a multitude of actors worldwide. This chapter describes the role played by OSM during the early months (from January to July 2020) of the ongoing COVID-19 pandemic, which - in contrast to past disasters and epidemics - is a global event impacting both developed and developing countries. A large number of COVID-19-related OSM use cases were collected and grouped into a number of research frameworks which are analyzed separately: dashboards and services simply using OSM as a basemap, applications using raw OSM data, initiatives to collect new OSM data, imports of authoritative data into OSM, and traditional academic research on OSM in the COVID-19 response. -
Generating Up-To-Date and Detailed Land Use and Land Cover Maps Using Openstreetmap and Globeland30
International Journal of Geo-Information Article Generating Up-to-Date and Detailed Land Use and Land Cover Maps Using OpenStreetMap and GlobeLand30 Cidália Costa Fonte 1,2,*, Marco Minghini 3, Joaquim Patriarca 2, Vyron Antoniou 4,5, Linda See 6 and Andriani Skopeliti 7 1 Department of Mathematics, University of Coimbra, Largo D. Dinis, 3001-501 Coimbra, Portugal 2 INESC Coimbra, Rua Sílvio Lima, Pólo II, 3030-290 Coimbra, Portugal; [email protected] 3 Department of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milan, Italy; [email protected] 4 Hellenic Military Academy, Leof. Varis—Koropiou, 16673 Vari, Greece; [email protected] 5 Hellenic Military Geographical Service, 4, Evelpidon Str., 11362 Athens, Greece 6 International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A2361 Laxenburg, Austria; [email protected] 7 School of Rural and Surveying Engineering, National Technical University of Athens, 9 H. Polytechniou, 15780 Zografou, Greece; [email protected] * Correspondence: [email protected]; Tel.: +351-239-791-150 Academic Editor: Wolfgang Kainz Received: 4 March 2017; Accepted: 17 April 2017; Published: 22 April 2017 Abstract: With the opening up of the Landsat archive, global high resolution land cover maps have begun to appear. However, they often have only a small number of high level land cover classes and they are static products, corresponding to a particular period of time, e.g., the GlobeLand30 (GL30) map for 2010. The OpenStreetMap (OSM), in contrast, consists of a very detailed, dynamically updated, spatial database of mapped features from around the world, but it suffers from incomplete coverage, and layers of overlapping features that are tagged in a variety of ways. -
Cartography in a Gameful Context Involving the Crowd in Drawing Our Future Maps
Ludwig Maximilian University of Munich Department for Informatics Teaching and Research Unit Programming and Modelling Languages Bachelor’s thesis Cartography in a Gameful Context Involving the crowd in drawing our future maps Sebastian Straub Supervisor: Prof. Dr. François Bry Advisor: Christoph Wieser Date: October 31, 2012 Erklärung Hiermit versichere ich, dass ich diese Bachelorarbeit selbständig verfasst habe. Ich habe dazu keine anderen als die angegebenen Quellen und Hilfsmittel verwendet. Freising, den 31.10.2012 (Sebastian Straub) 3 4 Acknowledgment First of all, I want to thank my advisor Christoph Wieser, who was interested in the idea that lead to this thesis from the beginning and helped me to get this project started. Without his advocacy and constant support, I would not have brought the thesis to its current state. I also want to thank Prof. François Bry for his endorsement of my work and the opportunity to write it at the Teaching and Research Unit for Programming and Modelling Languages. The possibility to access my own workplace and to talk with the other members at the chair was of great value to me. Also, the feedback I received during the graduate seminar and beyond showed me new directions and thereby greatly enhanced my work. Furthermore I’d like to express my gratitude towards the initiators and all the supporters of the OpenStreetMap, which is a great project that inspired me to write this thesis. And lastly, many thanks to my friends, who were always able to cheer me up when I got stuck, and my family, who I can always count on. -
Corporate Editors in the Evolving Landscape of Openstreetmap
International Journal of Geo-Information Article Corporate Editors in the Evolving Landscape of OpenStreetMap Jennings Anderson 1,* , Dipto Sarkar 2 and Leysia Palen 1,3 1 Department of Computer Science, University of Colorado Boulder, Boulder, CO 80309, USA; [email protected] 2 Department of Geography, National University of Singapore, Singapore 119077, Singapore; [email protected] 3 Department of Information Science, University of Colorado Boulder, Boulder, CO 80309, USA * Correspondence: [email protected] Received: 18 April 2019; Accepted: 14 May 2019; Published: 18 May 2019 Abstract: OpenStreetMap (OSM), the largest Volunteered Geographic Information project in the world, is characterized both by its map as well as the active community of the millions of mappers who produce it. The discourse about participation in the OSM community largely focuses on the motivations for why members contribute map data and the resulting data quality. Recently, large corporations including Apple, Microsoft, and Facebook have been hiring editors to contribute to the OSM database. In this article, we explore the influence these corporate editors are having on the map by first considering the history of corporate involvement in the community and then analyzing historical quarterly-snapshot OSM-QA-Tiles to show where and what these corporate editors are mapping. Cumulatively, millions of corporate edits have a global footprint, but corporations vary in geographic reach, edit types, and quantity. While corporations currently have a major impact on road networks, non-corporate mappers edit more buildings and points-of-interest: representing the majority of all edits, on average. Since corporate editing represents the latest stage in the evolution of corporate involvement, we raise questions about how the OSM community—and researchers—might proceed as corporate editing grows and evolves as a mechanism for expanding the map for multiple uses. -
Data Collection – a Road Map
2013 MASITE Annual Meeting September 20, 2013 Data Collection – A Road Map Bridget Bitto, KMJ Consulting, Inc. Traffic Engineering Technology Session September 20, 2013 1 Road Map • Data Sources • Study Types • Conclusions September 20, 2013 2 Data Sources Probe-Based Spot Sensor-Based September 20, 2013 3 Data Sources Probe-Based Measures Technology Definition Providers Identifies and matches MAC AWAM, TRAFFAX, TrafficCast, Bluetooth address of Bluetooth enabled Savari Networks devices as they pass reader Readers record toll tag ID Toll Tag Readers E-ZPass numbers Private 3rd Party Combination of probe data form INRIX, TomTom, TrafficCast, HERE Data Providers multiple technologies Uses signaling information from Wireless Location cell phones to anonymously track Cellient, AirSage, Delcan devices Obtaining real-time traffic Google Maps, TomTom MapShare, Crowd-Sourcing information from GPS-enabled Trapster, Waze mobile phones September 20, 2013 4 Data Sources Spot Sensor-Based Measures Technology Definition Loop detectors or magnetic In-Road Sensors detectors Directly measures speeds of Radar vehicles Video image vehicle detection Video system September 20, 2013 5 Study Types Origin- Travel Time Destination Speed & Pedestrian & Volume Bicycle September 20, 2013 6 Origin-Destination Studies • Find out where vehicles are coming from, where they are going, and when trips occur. • Used to support: – Travel demand model – Regional transportation system analysis September 20, 2013 7 Origin-Destination Studies Ability to Roadway Type Area Type