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Gpsbabel Documentation Gpsbabel Documentation Table of Contents
GPSBabel Documentation GPSBabel Documentation Table of Contents Introduction to GPSBabel ................................................................................................... xx The Problem: Too many incompatible GPS file formats ................................................... xx The Solution ............................................................................................................ xx 1. Getting or Building GPSBabel .......................................................................................... 1 Downloading - the easy way. ....................................................................................... 1 Building from source. .................................................................................................. 1 2. Usage ........................................................................................................................... 3 Invocation ................................................................................................................. 3 Suboptions ................................................................................................................ 4 Advanced Usage ........................................................................................................ 4 Route and Track Modes .............................................................................................. 5 Working with predefined options .................................................................................. 6 Realtime tracking ...................................................................................................... -
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. -
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. -
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. -
RT COMMANDPOINT Situational Awareness Software DATASHEET
RT COMMANDPOINT Situational Awareness Software DATASHEET SECURE FEATURES & BENEFITS EMPOWERING COMMANDERS RT COMMANDPOINT is a Situational Awareness application o Situational Awareness, Blue Force Tracking, Command & Control that aids Commanders on all levels in operational theatre o Built-in Offline Base Maps: Vector and Image visualization, communication and intelligent unit control. The positions of RT devices and other symbols are overlaid o Touch-screen User Interface Design on a comprehensive built-in offline base map and combined o Tracklogs, Messaging, Zones, Alarms, Digital Voice Calls with easy-to-use chat messaging to individuals or all members of the group. The intuitive interface can be used o Interoperability with RT Devices: RT1, RT3, RT5 & RT7 for tracking, navigation and coordination. o Secure Digital Voice support SITUATIONAL AWARENESS: BASE TO FRONTLINE Copyright © 2020 Rapid Mobile (Pty) Ltd SITUATIONAL AWARENESS MAPS FRIENDLY SYMBOLS (BLUE) Each installation includes a comprehensive base map for the user’s desired region (custom regions are available). Satellite images are provided up to a RT CommandPoint enables its operator to track friendly units. Track log scale of 1:70,000. OpenStreetMap layers continue up to a scale of 1:2000. trails are provided for all friendly units. The speed and bearing of OpenSeaMap Seamarks and GEBCO bathymetry data are overlaid on top of friendly units are displayed on the map. all layers. S-57 Electronic Navigation Charts (ENCs) are supported. NEUTRAL SYMBOLS (GREEN) ROBUST & SECURE TACTICAL DATA Neutral symbols, such as reference points, can be created and sent to The RapidM Communications Stack forms the basis of both the RT Tactical all users in the network. -
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. -
Exploring Openstreetmap Availability for Driving Environment Understanding
1 Exploring OpenStreetMap Availability for Driving Environment Understanding Yang Zheng, Izzat H. Izzat, and John H.L. Hansen, Fellow, IEEE Abstract — With the great achievement of artificial intelligence, Decision / Driver vehicle technologies have advanced significantly from human Maneuver centric driving towards fully automated driving. An intelligent vehicle should be able to understand the driver’s perception of the environment as well as controlling behavior of the vehicle. Since Map Dynamic Environment Vehicle high digital map information has been available to provide rich Information + Signals environmental context about static roads, buildings and traffic infrastructures, it would be worthwhile to explore map data capability for driving task understanding. Alternative to Fig. 1. Use map data to retrieve environment information, and combine with commercial used maps, the OpenStreetMap (OSM) data is a free vehicle dynamic signals to understand driver behavior. open dataset, which makes it unique for the exploration research. This study is focused on two tasks that leverage OSM for driving environment understanding. First, driving scenario attributes are Prior Knowledge Driving Scenario Capturing retrieved from OSM elements, which are combined with vehicle Map Camera Lidar dynamic signals for the driving event recognition. Utilizing steering angle changes and based on a Bi-directional Recurrent Neural Network (Bi-RNN), a driving sequence is segmented and Virtual Street View Image Processing Point Clouding classified as lane-keeping, lane-change-left, lane-change-right, turn-left, and turn-right events. Second, for autonomous driving perception, OSM data can be used to render virtual street views, Road Mask Road Mask Road Mask represented as prior knowledge to fuse with vision/laser systems for road semantic segmentation. -
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.