Hacker Cartography: Crowdsourced Geography, Openstreetmap, and the Hacker Political Imaginary
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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 ...................................................................................................... -
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. -
A Review of Openstreetmap Data Peter Mooney* and Marco Minghini† *Department of Computer Science, Maynooth University, Maynooth, Co
CHAPTER 3 A Review of OpenStreetMap Data Peter Mooney* and Marco Minghini† *Department of Computer Science, Maynooth University, Maynooth, Co. Kildare, Ireland, [email protected] †Department of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy Abstract While there is now a considerable variety of sources of Volunteered Geo- graphic Information (VGI) available, discussion of this domain is often exem- plified by and focused around OpenStreetMap (OSM). In a little over a decade OSM has become the leading example of VGI on the Internet. OSM is not just a crowdsourced spatial database of VGI; rather, it has grown to become a vast ecosystem of data, software systems and applications, tools, and Web-based information stores such as wikis. An increasing number of developers, indus- try actors, researchers and other end users are making use of OSM in their applications. OSM has been shown to compare favourably with other sources of spatial data in terms of data quality. In addition to this, a very large OSM community updates data within OSM on a regular basis. This chapter provides an introduction to and review of OSM and the ecosystem which has grown to support the mission of creating a free, editable map of the whole world. The chapter is especially meant for readers who have no or little knowledge about the range, maturity and complexity of the tools, services, applications and organisations working with OSM data. We provide examples of tools and services to access, edit, visualise and make quality assessments of OSM data. We also provide a number of examples of applications, such as some of those How to cite this book chapter: Mooney, P and Minghini, M. -
Geo-Text Data and Data-Driven Geospatial Semantics
Geo-Text Data and Data-Driven Geospatial Semantics Yingjie Hu GSDA Lab, Department of Geography, University of Tennessee, Knoxville, TN, 37996, USA Abstract Many datasets nowadays contain links between geographic locations and natural language texts. These links can be geotags, such as geotagged tweets or geotagged Wikipedia pages, in which location coordinates are explicitly attached to texts. These links can also be place mentions, such as those in news articles, travel blogs, or historical archives, in which texts are implicitly connected to the mentioned places. This kind of data is referred to as geo- text data. The availability of large amounts of geo-text data brings both challenges and opportunities. On the one hand, it is challenging to automatically process this kind of data due to the unstructured texts and the complex spatial footprints of some places. On the other hand, geo-text data offers unique research opportunities through the rich information contained in texts and the special links between texts and geography. As a result, geo-text data facilitates various studies especially those in data-driven geospatial semantics. This paper discusses geo-text data and related concepts. With a focus on data-driven research, this paper systematically reviews a large number of studies that have discovered multiple types of knowledge from geo-text data. Based on the literature review, a generalized workflow is extracted and key challenges for future work are discussed. Keywords: geo-text data, spatial analysis, natural language processing, spatial and textual data analysis, data-driven geospatial semantics, spatial data science. 1. Introduction Recent years have witnessed an unprecedented increase in the volume, variety, and veloc- ity of data from different sources (Miller and Goodchild, 2015). -
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. -
Proceedings of the U.S. Geological Survey Eighth Biennial Geographic
Proceedings of the U.S. Geological Survey Eighth Biennial Geographic Information Science Workshop and First The National Map Users Conference, Denver, Colorado, May 10–13, 2011 Scientific Investigations Report 2011–5053 U.S. Department of the Interior U.S. Geological Survey Proceedings of the U.S. Geological Survey Eighth Biennial Geographic Information Science Workshop and First The National Map Users Conference, Denver, Colorado, May 10–13, 2011 Edited by Jennifer B. Sieverling and Jeffrey Dietterle Scientific Investigations Report 2011–5053 U.S. Department of the Interior U.S. Geological Survey U.S. Department of the Interior SALLY JEWELL, Secretary U.S. Geological Survey Suzette M. Kimball, Acting Director U.S. Geological Survey, Reston, Virginia: 2014 For more information on the USGS—the Federal source for science about the Earth, its natural and living resources, natural hazards, and the environment, visit http://www.usgs.gov or call 1–888–ASK–USGS. For an overview of USGS information products, including maps, imagery, and publications, visit http://www.usgs.gov/pubprod To order this and other USGS information products, visit http://store.usgs.gov Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this report is in the public domain, permission must be secured from the individual copyright owners to reproduce any copyrighted materials contained within this report. Suggested citation: Sieverling, J.B., and Dietterle, Jeffrey, eds., 2014, Proceedings of the U.S. Geological Survey Eighth Biennial Geographic Information Science Workshop and First The National Map Users Conference, Denver, Colorado, May 10–13, 2011: U.S. -
Web GIS in Practice VI: a Demo Playlist of Geo-Mashups for Public Health Neogeographers Maged N Kamel Boulos*1, Matthew Scotch2, Kei-Hoi Cheung2,3 and David Burden4
International Journal of Health Geographics BioMed Central Editorial Open Access Web GIS in practice VI: a demo playlist of geo-mashups for public health neogeographers Maged N Kamel Boulos*1, Matthew Scotch2, Kei-Hoi Cheung2,3 and David Burden4 Address: 1Faculty of Health and Social Work, University of Plymouth, Drake Circus, Plymouth, Devon, PL4 8AA, UK, 2Center for Medical Informatics, School of Medicine, Yale University, New Haven, CT, USA, 3Departments of Anesthesiology and Genetics, School of Medicine, and Department of Computer Science, Yale University, New Haven, CT, USA and 4Daden Limited, 103 Oxford Rd, Moseley, Birmingham, B13 9SG, UK Email: Maged N Kamel Boulos* - [email protected]; Matthew Scotch - [email protected]; Kei- Hoi Cheung - [email protected]; David Burden - [email protected] * Corresponding author Published: 18 July 2008 Received: 6 July 2008 Accepted: 18 July 2008 International Journal of Health Geographics 2008, 7:38 doi:10.1186/1476-072X-7-38 This article is available from: http://www.ij-healthgeographics.com/content/7/1/38 © 2008 Boulos et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract 'Mashup' was originally used to describe the mixing together of musical tracks to create a new piece of music. The term now refers to Web sites or services that weave data from different sources into a new data source or service. -
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. -
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. -
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]