Openstreetmap: Using, and Contributing To, the Free World Map Pdf
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Geohack - Boroo Gold Mine
GeoHack - Boroo Gold Mine DMS 48° 44′ 45″ N, 106° 10′ 10″ E Decim al 48.745833, 106.169444 Geo URI geo:48.745833,106.169444 UTM 48U 585970 5399862 More formats... Type landmark Region MN Article Boroo Gold Mine (edit | report inaccu racies) Contents: Global services · Local services · Photos · Wikipedia articles · Other Popular: Bing Maps Google Maps Google Earth OpenStreetMap Global/Trans-national services Wikimedia maps Service Map Satellite More JavaScript disabled or out of map range. ACME Mapper Map Satellite Topo, Terrain, Mapnik Apple Maps (Apple devices Map Satellite only) Bing Maps Map Aerial Bird's Eye Blue Marble Satellite Night Lights Navigator Copernix Map Satellite Fourmilab Satellite GeaBios Satellite GeoNames Satellite Text (XML) Google Earthnote Open w/ meta data Terrain, Street View, Earth Map Satellite Google Maps Timelapse GPS Visualizer Map Satellite Topo, Drawing Utility HERE Map Satellite Terrain MapQuest Map Satellite NASA World Open Wind more maps, Nominatim OpenStreetMap Map (reverse geocoding), OpenStreetBrowser Sentinel-2 Open maps.vlasenko.net Old Soviet Map Waze Map Editor, App: Open, Navigate Wikimapia Map Satellite + old places WikiMiniAtlas Map Yandex.Maps Map Satellite Zoom Earth Satellite Photos Service Aspect WikiMap (+Wikipedia), osm-gadget-leaflet Commons map (+Wikipedia) Flickr Map, Listing Loc.alize.us Map VirtualGlobetrotting Listing See all regions Wikipedia articles Aspect Link Prepared by Wikidata items — Article on specific latitude/longitude Latitude 48° N and Longitude 106° E — Articles on -
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. -
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. -
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. -
Shared Data Sources in the Geographical Domain— a Classification Schema and Corresponding Visualization Techniques
International Journal of Geo-Information Article Shared Data Sources in the Geographical Domain— A Classification Schema and Corresponding Visualization Techniques Franz-Benjamin Mocnik * , Christina Ludwig , A. Yair Grinberger , Clemens Jacobs, Carolin Klonner and Martin Raifer Institute of Geography, Heidelberg University, 69120 Heidelberg, Germany; [email protected] (C.L.); [email protected] (A.Y.G.); [email protected] (C.J.); [email protected] (C.K.); [email protected] (M.R.) * Correspondence: [email protected] Received: 12 March 2019; Accepted: 15 May 2019; Published: 27 May 2019 Abstract: People share data in different ways. Many of them contribute on a voluntary basis, while others are unaware of their contribution. They have differing intentions, collaborate in different ways, and they contribute data about differing aspects. Shared Data Sources have been explored individually in the literature, in particular OpenStreetMap and Twitter, and some types of Shared Data Sources have widely been studied, such as Volunteered Geographic Information (VGI), Ambient Geographic Information (AGI), and Public Participation Geographic Information Systems (PPGIS). A thorough and systematic discussion of Shared Data Sources in their entirety is, however, still missing. For the purpose of establishing such a discussion, we introduce in this article a schema consisting of a number of dimensions for characterizing socially produced, maintained, and used ‘Shared Data Sources,’ as well as corresponding visualization techniques. Both the schema and the visualization techniques allow for a common characterization in order to set individual data sources into context and to identify clusters of Shared Data Sources with common characteristics. -
Wialon Checklist (.Pdf)
Wialon | Monitoring System gurtam.com Monitoring panel and unit properties Sensors and counters Dynamically updated unit list Virtual sensors based on any parameter sent from a device Filtering by IMEI, HW type, phone number, name, etc. Calculation table to configure any type of sensors Quick access to unit tooltip and extended information with the Calibration table management/import/export option to copy it Custom intervals, colors, and textual description for each sensor Copy and import/export tool for backup processes and settings sharing Real-time motion sensor support Smart trip detection capabilities Odometer, engine hours, and GPRS traffic counters Special icons for one-click access to basic tracking Sensor value variation notifications functionality (quick report, video, send SMS, etc.) Retranslation of raw and calculated sensor parameters Simple generation of links to share locations and sensor values Unit properties management/export Driving safety monitoring Unit profile and reference book to view/store parameters Editable driving quality criteria (harsh braking and driving, speeding, cornering, etc.) and presets for cars, trucks, and buses for a number of trackers Maintenance Acceleration calculation based on GPS and data from G-sensors Service approach/expiry notifications Sensors to be used as validators and criteria for violations Intervals by days, mileage, and engine hours Charts and the map with highlighted driving events Vehicle maintenance reporting Driver ranking report Maintenance log handling Custom limits or limits -
View and Facilitates the Results’ Reproducibility
Mocnik et al. Open Geospatial Data, Software and Standards (2018) 3:7 Open Geospatial Data, https://doi.org/10.1186/s40965-018-0047-6 Software and Standards SOFTWARE Open Access Open source data mining infrastructure for exploring and analysing OpenStreetMap Franz-Benjamin Mocnik* , Amin Mobasheri and Alexander Zipf Abstract OpenStreetMap and other Volunteered Geographic Information datasets have been explored in the last years, with the aim of understanding how their meaning is rendered, of assessing their quality, and of understanding the community-driven process that creates and maintains the data. Research mostly focuses either on the data themselves while ignoring the social processes behind, or solely discusses the community-driven process without making sense of the data at a larger scale. A holistic understanding that takes these and other aspects into account is, however, seldom gained. This article describes a server infrastructure to collect and process data about different aspects of OpenStreetMap. The resulting data are offered publicly in a common container format, which fosters the simultaneous examination of different aspects with the aim of gaining a more holistic view and facilitates the results’ reproducibility. As an example of such uses, we discuss the project OSMvis. This project offers a number of visualizations, which use the datasets produced by the server infrastructure to explore and visually analyse different aspects of OpenStreetMap. While the server infrastructure can serve as a blueprint for similar endeavours, the created datasets are of interest themselves too. Keywords: Infrastructure, Data repository, Volunteered geographic information (VGI), OpenStreetMap (OSM), Information visualization, Visual analysis, Data quality Introduction and background sport sites, and shops; and many more information.