Wikigis Basic Concepts: Web 2.0 for Geospatial Collaboration
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The Uch Enmek Example(Altai Republic,Siberia)
Faculty of Environmental Sciences Institute for Cartography Master Thesis Concept and Implementation of a Contextualized Navigable 3D Landscape Model: The Uch Enmek Example(Altai Republic,Siberia). Mussab Mohamed Abuelhassan Abdalla Born on: 7th December 1983 in Khartoum Matriculation number: 4118733 Matriculation year: 2014 to achieve the academic degree Master of Science (M.Sc.) Supervisors Dr.Nikolas Prechtel Dr.Sander Münster Submitted on: 18th September 2017 Faculty of Environmental Sciences Institute for Cartography Task for the preparation of a Master Thesis Name: Mussab Mohamed Abuelhassan Abdalla Matriculation number: 4118733 Matriculation year: 2014 Title: Concept and Implementation of a Contextualized Navigable 3D Landscape Model: The Uch Enmek Example(Altai Republic,Siberia). Objectives of work Scope/Previous Results:Virtual Globes can attract and inform websites visitors on natural and cultural objects and sceneries.Geo-centered information transfer is suitable for majority of sites and artifacts. Virtual Globes have been tested with an involvement of TUD institutes: e.g. the GEPAM project (Weller,2013), and an archaeological excavation site in the Altai Mountains ("Uch enmek", c.f. Schmid 2012, Schubert 2014).Virtual Globes technology should be flexible in terms of the desired geo-data configuration. Research data should be controlled by the authors. Modes of linking geo-objects to different types of meta-information seems evenly important for a successful deployment. Motivation: For an archaeological conservation site ("Uch Enmek") effort has already been directed into data collection, model development and an initial web-based presentation.The present "Open Web Globe" technology is not developed any further, what calls for a migra- tion into a different web environment. -
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 -
Assessing the Credibility of Volunteered Geographic Information: the Case of Openstreetmap
ASSESSING THE CREDIBILITY OF VOLUNTEERED GEOGRAPHIC INFORMATION: THE CASE OF OPENSTREETMAP BANI IDHAM MUTTAQIEN February, 2017 SUPERVISORS: Dr. F.O. Ostermann Dr. ir. R.L.G. Lemmens ASSESSING THE CREDIBILITY OF VOLUNTEERED GEOGRAPHIC INFORMATION: THE CASE OF OPENSTREETMAP BANI IDHAM MUTTAQIEN Enschede, The Netherlands, February, 2017 Thesis submitted to the Faculty of Geo-Information Science and Earth Observation of the University of Twente in partial fulfillment of the requirements for the degree of Master of Science in Geo-information Science and Earth Observation. Specialization: Geoinformatics SUPERVISORS: Dr. F.O. Ostermann Dr.ir. R.L.G. Lemmens THESIS ASSESSMENT BOARD: Prof. Dr. M.J. Kraak (Chair) Dr. S. Jirka (External Examiner, 52°North Initiative for Geospatial Open Source Software GmbH) DISCLAIMER This document describes work undertaken as part of a program of study at the Faculty of Geo-Information Science and Earth Observation of the University of Twente. All views and opinions expressed therein remain the sole responsibility of the author, and do not necessarily represent those of the Faculty. ABSTRACT The emerging paradigm of Volunteered Geographic Information (VGI) in the geospatial domain is interesting research since the use of this type of information in a wide range of applications domain has grown extensively. It is important to identify the quality and fitness-of-use of VGI because of non- standardized and crowdsourced data collection process as well as the unknown skill and motivation of the contributors. Assessing the VGI quality against external data source is still debatable due to lack of availability of external data or even uncomparable. Hence, this study proposes the intrinsic measure of quality through the notion of credibility. -
Mashing-Up Maps Google Geo Services and the Geography Of
Mashing-up Maps Google Geo Services and the Geography of Ubiquity Craig M. Dalton A dissertation submitted to the faculty of the University of North Carolina at Chapel Hill in partial fulfillment of the requirements for the degree of Doctor in Philosophy in the Department of Geography. Chapel Hill 2012 Approved by: Dr. Scott Kirsch Dr. Banu Gokariksel Dr. Kenneth Hillis Dr. John Pickles Dr. Sarah Sharma © 2012 Craig M. Dalton ALL RIGHTS RESERVED ii Abstract CRAIG DALTON: Mashing-up Maps: Google Geo Services and the Geography of Ubiquity (Under the direction of Scott Kirsch) How are Google geo services such as Google Maps and Google Earth shaping ways of seeing the world? These geographic ways of seeing are part of an influential and problematic geographic discourse. This discourse reaches hundreds of millions of people, though not all have equal standing. It empowers many people to make maps on the geoweb, but within the limits of Google’s business strategy. These qualities, set against the state-centeredness of mapmaking over the last six hundred years, mark the Google geo discourse as something noteworthy, a consumer-centered mapping in a popular geographic discourse. This dissertation examines the Google geo discourse through its social and technological history, Google’s role in producing and limiting the discourse, and the subjects who make and use these maps. iii Acknowledgements This dissertation was only possible with the help of a large number of people. I owe each a debt of gratitude. Chief among them is a fantastic advisor, Scott Kirsch. His patience, grace, and good criticism saw me through the trials of graduate school. -
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. -
India Map with Directions Hd
India Map With Directions Hd immobilisingSansone is proprioceptive: or pulverising willy-nilly.she intonates Autumnal sunwise and and crenate long herFrankie tuberosities. never tappings Disorienting critically and when trickiest Sloan Darrick overselling prenotify his her cumarin. temporary Maps on or directions for. Mawsynram in the world with india political boundaries, you get your feedback back country to be measur. Some features a map with india to the direction and not available in nainital? Are you wish to. Complete the direction line features a bunch look for the menu will appear here. The direction is it with no space to. I N D I A N O C E A N A Y O F BENGAL N I N D I A States and Union Territories New Delhi Srinagar Shimla Chandigarh Dehradun Jaipur Gandhinagar. It with india can be noted. On Wednesday the storm made landfall on India's eastern coast when wind speeds between 100 and 115 miles per hour. The direction is nepal and sichuan airline have traveled from nasa. Environmental issues for india with compass rose an abundance of northern border with artistic hindu goddess of these cities. Maps depict production and maps service during its landscape with india, and powerful developer tools to that they always reliable crossing could be an informative guide providing a block after day. Old is india with any particular place where many years, mouths of northern and myanmar. 41 Best Map of India With States ideas india map india. Campus Maps and Directions University Information. Google Maps. Read about major cities. Administered zone in india with a simple. -
Crowdsourcing, Citizen Science Or Volunteered Geographic Information? the Current State of Crowdsourced Geographic Information
International Journal of Geo-Information Article Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information Linda See 1,*, Peter Mooney 2, Giles Foody 3, Lucy Bastin 4, Alexis Comber 5, Jacinto Estima 6, Steffen Fritz 1, Norman Kerle 7, Bin Jiang 8, Mari Laakso 9, Hai-Ying Liu 10, Grega Milˇcinski 11, Matej Nikšiˇc 12, Marco Painho 6, Andrea P˝odör 13, Ana-Maria Olteanu-Raimond 14 and Martin Rutzinger 15 1 International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, Laxenburg A2361, Austria; [email protected] 2 Department of Computer Science, Maynooth University, Maynooth W23 F2H6, Ireland; [email protected] 3 School of Geography, University of Nottingham, Nottingham NG7 2RD, UK; [email protected] 4 School of Engineering and Applied Science, Aston University, Birmingham B4 7ET, UK; [email protected] 5 School of Geography, University of Leeds, Leeds LS2 9JT, UK; [email protected] 6 NOVA IMS, Universidade Nova de Lisboa (UNL), 1070-312 Lisboa, Portugal; [email protected] (J.E.); [email protected] (M.P.) 7 Department of Earth Systems Analysis, ITC/University of Twente, Enschede 7500 AE, The Netherlands; [email protected] 8 Faculty of Engineering and Sustainable Development, Division of GIScience, University of Gävle, Gävle 80176, Sweden; [email protected] 9 Finnish Geospatial Research Institute, Kirkkonummi 02430, Finland; mari.laakso@nls.fi 10 Norwegian Institute for Air Research (NILU), Kjeller 2027, Norway; [email protected] -
Review of Web Mapping: Eras, Trends and Directions
International Journal of Geo-Information Review Review of Web Mapping: Eras, Trends and Directions Bert Veenendaal 1,*, Maria Antonia Brovelli 2 ID and Songnian Li 3 ID 1 Department of Spatial Sciences, Curtin University, GPO Box U1987, Perth 6845, Australia 2 Department of Civil and Environmental Engineering (DICA), Politecnico di Milano, P.zza Leonardo da Vinci 32, 20133 Milan, Italy; [email protected] 3 Department of Civil Engineering, Ryerson University, 350 Victoria Street, Toronto, ON M5B 2K3, Canada; [email protected] * Correspondence: [email protected]; Tel.: +618-9266-7701 Received: 28 July 2017; Accepted: 16 October 2017; Published: 21 October 2017 Abstract: Web mapping and the use of geospatial information online have evolved rapidly over the past few decades. Almost everyone in the world uses mapping information, whether or not one realizes it. Almost every mobile phone now has location services and every event and object on the earth has a location. The use of this geospatial location data has expanded rapidly, thanks to the development of the Internet. Huge volumes of geospatial data are available and daily being captured online, and are used in web applications and maps for viewing, analysis, modeling and simulation. This paper reviews the developments of web mapping from the first static online map images to the current highly interactive, multi-sourced web mapping services that have been increasingly moved to cloud computing platforms. The whole environment of web mapping captures the integration and interaction between three components found online, namely, geospatial information, people and functionality. In this paper, the trends and interactions among these components are identified and reviewed in relation to the technology developments. -
Abstract Utilization of Crowdsourcing And
ABSTRACT UTILIZATION OF CROWDSOURCING AND VOLUNTEERED GEOGRAPHIC INFORMATION IN INTERNATIONAL DISASTER MANAGEMENT by Julaiti Nilupaer Large-scale disasters result in enormous impacts on vulnerable communities worldwide, and data acquisition has become a major concern in this time-critical situation: the limitations of geospatial technologies impede the real-time data collection, also the absent or poor data collection in some regions. With the current advances of Web 2.0, crowdsourcing and Volunteered Geographic Information (VGI) have become commonly used. As a potential solution to fill the gap of real-time geographic data, crowdsourcing and VGI enable timely information exchange through a voluntary approach and enhance amateur citizen participation. Importantly, such geographic information can substantially facilitate emergency coordination by fulfilling the needs of impacted communities and appropriately allocating relief supplies and funds. My research interest centers on the utilization of crowdsourcing and VGI for disaster management. Particularly, I work to explore their potential value and contributions by reviewing two notable and destructive disaster events as case studies: the 2011 Tohoku Earthquake and Tsunami, and the 2013 Typhoon Haiyan. In addition, I examine the challenges of this information and seek potential solutions. This research aims to contribute a comprehensive qualitative analysis of how Volunteer and Technical Communities (V&TCs) have used crowdsourced data and VGI to enhance the coordination of disaster management. -
Volunteered and Crowdsourced Geographic Information: the Openstreetmap Project
JOURNAL OF SPATIAL INFORMATION SCIENCE Number 20 (2020), pp. 65–70 doi:10.5311/JOSIS.2020.20.659 INVITED ARTICLE Volunteered and crowdsourced geographic information: the OpenStreetMap project Michela Bertolotto1, Gavin McArdle1, and Bianca Schoen-Phelan2 1School of Computer Science, University College Dublin 2School of Computer Science, Technological University Dublin Received: February 28, 2020; accepted: May 12, 2020 Abstract: Advancements in technology over the last two decades have changed how spa- tial data are created and used. In particular, in the last decade, volunteered geographic information (VGI), i.e., the crowdsourcing of geographic information, has revolutionized the spatial domain by shifting the map-making process from the hands of experts to those of any willing contributor. Started in 2004, OpenStreetMap (OSM) is the pinnacle of VGI due to the large number of volunteers involved and the volume of spatial data generated. While the original objective of OSM was to create a free map of the world, its uses have shown how the potential of such an initiative goes well beyond map-making: ranging from projects such as the Humanitarian OpenStreetMap (HOT) project, that understands itself as a bridge between the OSM community and humanitarian responders, to collaborative projects such as Mapillary, where citizens take street-level images and the system aims to automate mapping. A common trend among these projects using OSM is the fact that the community dynamic tends to create spin-off projects. Currently, we see a drive towards projects that support sustainability goals using OSM. We discuss some such applications and highlight challenges posed by this new paradigm. -
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.