ICT-Based Adaptation to Climate Change in Cities: Case Studies
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Mobile Application Development Mapbox - a Commercial Mapping Service Using Openstreetmap
Mobile Application Development Mapbox - a commercial mapping service using OpenStreetMap Waterford Institute of Technology October 19, 2016 John Fitzgerald Waterford Institute of Technology, Mobile Application Development Mapbox - a commercial mapping service using OpenStreetMap 1/16 OpenStreetMap An open source project • OpenStreetMap Foundation • A non-profit organisation • Founded in 2004 by Steve Coast • Over 2 million registered contributors • Primary output OpenStreetMap data Waterford Institute of Technology, Mobile Application Development Mapbox - a commercial mapping service using OpenStreetMap 2/16 OpenStreetMap An open source project • Various data collection methods: • On-site data collection using: • paper & pencil • computer • preprinted map • cameras • Aerial photography Waterford Institute of Technology, Mobile Application Development Mapbox - a commercial mapping service using OpenStreetMap 3/16 MapBox Competitor to Google Maps • Provides commercial mapping services. • OpenStreetMap a data source for many of these. • Large provider of custom online maps for websites. • Clients include Foursquare, Financial Times, Uber. • But also NASA and some proprietary sources. • Startup 2010 • Series B round funding 2015 $52 million • Contrast Google 2015 profit $16 billion Waterford Institute of Technology, Mobile Application Development Mapbox - a commercial mapping service using OpenStreetMap 4/16 MapBox Software Development Kits (SDKs) • Web apps • Android • iOS • JavaScript (browser & node) • Python Waterford Institute of Technology, -
A Comparison of Feature Density for Large Scale Online Maps
DOI: 10.14714/CP97.1707 PEER-REVIEWED ARTICLE A Comparison of Feature Density for Large Scale Online Maps Michael P. Peterson (he/him) University of Nebraska at Omaha [email protected] Large-scale maps, such as those provided by Google, Bing, and Mapbox, among others, provide users an important source of information for local environments. Comparing maps from these services helps to evaluate both the quality of the underlying spatial data and the process of rendering the data into a map. The feature and label density of three different mapping services was evaluated by making pairwise comparisons of large-scale maps for a series of random areas across three continents. For North America, it was found that maps from Google had consistently higher feature and label den- sity than those from Bing and Mapbox. Google Maps also held an advantage in Europe, while maps from Bing were the most detailed in sub-Saharan Africa. Maps from Mapbox, which relies exclusively on data from OpenStreetMap, had the lowest feature and label density for all three areas. KEYWORDS: Web Mapping Services; Multi-Scale Pannable (MSP) maps; OpenStreetMap; Application Programming Interface (API) INTRODUCTION One of the primary benefits of using online map Since the introduction of the technique in 2005 by services like those available from Google, Bing, and Google, all major online map providers have adopted the OpenStreetMap, is that zooming-in allows access to same underlying technology. Vector data is projected and large-scale maps. Maps at these large scales are not avail- divided into vector tiles at multiple scales. The tile bound- able to most (if any) individuals from any other source. -
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. -
Navegação Turn-By-Turn Em Android Relatório De Estágio Para A
INSTITUTO POLITÉCNICO DE COIMBRA INSTITUTO SUPERIOR DE ENGENHARIA DE COIMBRA Navegação Turn-by-Turn em Android Relatório de estágio para a obtenção do grau de Mestre em Informática e Sistemas Autor Luís Miguel dos Santos Henriques Orientação Professor Doutor João Durães Professor Doutor Bruno Cabral Mestrado em Engenharia Informática e Sistemas Navegação Turn-by-Turn em Android Relatório de estágio apresentado para a obtenção do grau de Mestre em Informática e Sistemas Especialização em Desenvolvimento de Software Autor Luís Miguel dos Santos Henriques Orientador Professor Doutor João António Pereira Almeida Durães Professor do Departamento de Engenharia Informática e de Sistemas Instituto Superior de Engenharia de Coimbra Supervisor Professor Doutor Bruno Miguel Brás Cabral Sentilant Coimbra, Fevereiro, 2019 Agradecimentos Aos meus pais por todo o apoio que me deram, Ao meu irmão pela inspiração, À minha namorada por todo o amor e paciência, Ao meu primo, por me fazer acreditar que nunca é tarde, Aos meus professores por me darem esta segunda oportunidade, A todos vocês devo o novo rumo da minha vida. Obrigado. i ii Abstract This report describes the work done during the internship of the Master's degree in Computer Science and Systems, Specialization in Software Development, from the Polytechnic of Coimbra - ISEC. This internship, which began in October 17 of 2017 and ended in July 18 of 2018, took place in the company Sentilant, and had as its main goal the development of a turn-by- turn navigation module for a logistics management application named Drivian Tasks. During the internship activities, a turn-by-turn navigation module was developed from scratch, while matching the specifications indicated by the project managers in the host entity. -
Location Platform Index: Mapping and Navigation
Location Platform Index: Mapping and Navigation Key vendor rankings and market trends: June 2019 update Publication Date: 05 Aug 2019 | Product code: CES006-000085 Eden Zoller Location Platform Index: Mapping and Navigation Summary In brief Ovum's Location Platform Index provides an ongoing assessment and subsequent ranking of the major vendors in the location platform market, with particular reference to the mapping and navigation space. The index evaluates each vendor based on two main criteria: the completeness of its platform and the platform's market reach. It considers the core capabilities of the location platform along with the information that the platform opens up to developers and the wider location community. The index provides an overview of the market and assesses the strengths and weaknesses of the leading players. It also highlights the key trends in the mapping space that vendors must keep up with if they want to stay ahead of the game. Ovum view . There are fresh opportunities for location data and services in the consumer domain. The deepening artificial intelligence (AI) capabilities of smartphones are enabling more immersive applications and experiences that can be further enhanced by location capabilities, such as the use of location to enrich augmented reality (AR) shopping applications or enhance contextual gaming. At the same time, AI assistants will draw more deeply on location data, not just on smartphones but also via AI assistants integrated with other connected platforms, including vehicles. Ovum predicts that the global installed base of AI assistants across all device types will grow from 2.39 billion in 2018 to 8.73 billion by the end of 2024. -
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. -
Eliza Shrestha
Data Validation and Quality Assessment of Voluntary Geographic Information Road Network of Castellon for Emergency Route Planning Eliza Shrestha I Data Validation and Quality Assessment of Voluntary Geographic Information Road Network of Castellon for Emergency Route Planning Dissertation supervised by Francisco Ramos, PhD Associate Professor, Institute of New Imaging Technologies, Universitat Jaume I, Castellón, Spain Co-supervised by Andres Muñoz Researcher, Institute of New Imaging Technologies Universitat Jaume I Castellón, Spain Pedro Cabral, PhD Associate Professor, Sistemas e Tecnologias da Informação Informação Universidade Nova de Lisboa, Lisbon, Portugal February, 2019 II ACKNOWLEDGEMENT I would like to express my deep gratitude to my supervisor and co-supervisor Prof. Francisco Ramos, Andres Muñoz and Pedro Cabral for supervising my research work. I am highly obliged to Andres Muñoz for his continuous guidance during the course of the project. I am grateful to the Erasmus Mundus program for providing the scholarship to pursue my Masters in Geospatial Technologies. It has been a huge opportunity to be part of the program and gain knowledge from highly skilled professors and study with cooperative friends from all around the world. Apart from professors and friends, I would like to thank the administrative staff for their help throughout the study period. Also, I am grateful to the Survey Department, Government of Nepal for providing study leave to pursue my study. I would like to acknowledge all the enthusiastic volunteers who participated and contributed to the project. Without their help, the project would not have been able to complete. The research would be impossible without the help of my marvelous friends who have been encouraging me throughout the journey. -
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. -
Quantifying Gendered Participation in Openstreetmap: Responding to Theories of Female (Under) Representation in Crowdsourced Mapping
GeoJournal https://doi.org/10.1007/s10708-019-10035-z (0123456789().,-volV)(0123456789().,-volV) Quantifying gendered participation in OpenStreetMap: responding to theories of female (under) representation in crowdsourced mapping Z. Gardner . P. Mooney . S. De Sabbata . L. Dowthwaite Ó The Author(s) 2019 Abstract This paper presents the results of an gender of 293 OSM users. Statistics relating to users’ exploratory quantitative analysis of gendered contri- editing and tagging behaviours openly accessible via butions to the online mapping project OpenStreetMap the ‘how did you contribute to OSM’ wiki page were (OSM), in which previous research has identified a subsequently analysed. The results reveal that vol- strong male participation bias. On these grounds, umes of overall activity as well editing and tagging theories of representation in volunteered geographic actions in OSM remain significantly dominated by information (VGI) have argued that this kind of men. They also indicate subtle but impactful differ- crowdsourced data fails to embody the geospatial ences in men’s and women’s preferences for modify- interests of the wider community. The observed ing and creating data, as well as the tagging categories effects of the bias however, remain conspicuously to which they contribute. Discourses of gender and absent from discourses of VGI and gender, which ICT, gender relations in online VGI environments and proceed with little sense of impact. This study competing motivational factors are implicated in these addresses this void by analysing OSM contributions observations. As well as updating estimates of the by gender and thus identifies differences in men’s and gender participation bias in OSM, this paper aims to women’s mapping practices. -
Master Thesis Understanding Mapswipe
Ruprecht-Karls-Universität Heidelberg Geographisches Institut Master Thesis Understanding MapSwipe: Analysing Data Quality of Crowdsourced Classifications on Human Settlements Benjamin Herfort Matrikel-Nr. 3040449 Supervisors: Prof. Dr. Alexander Zipf Prof. Dr. João Porto de Albuquerque 20.10.2017 Content Content Content ................................................................................................................................. I List of Figures .................................................................................................................... IV List of Tables ...................................................................................................................... V List of Abbreviations ......................................................................................................... VI Abstract ............................................................................................................................ VII 1 Introduction .................................................................................................................. 1 2 Related Works .............................................................................................................. 5 2.1 Crowdsourcing Geographic Information .............................................................. 5 2.1.1 Classification.................................................................................................. 5 2.1.2 Digitization ................................................................................................... -
2017-Annual-Report.Pdf
A Message from Our Executive Director Looking back on 2017, one of the things I’m most proud of is our community’s ability to adapt and respond to some of the most complex humanitarian and development challenges. This year, HOT pioneered new approaches for working directly with Syrian refugees in Turkey and South Sudanese refugees in Uganda. By teaching use of OpenStreetMap to document services (and gaps) in their new countries, refugees and host community members took an active role in humanitarian response, pushing Caption goes here. the system to become more accountable to the populations it seeks to serve. Leserum voloria HOT also pioneered new methods of open data collection to make cities spelia dolo minctas more resilient to natural hazards. These approaches were field tested in some CONTENTS nus aceaquam of the world’s largest and fastest growing cities: Jakarta and Dar es Salaam, cullace pedigendem respectively. ipsam quae A Message from our Executive Director 3 volupta eossum Where we did not have staff on the ground, HOT donors came together to sundest otaquatqui fund “Microgrants” for seven small-scale, big-impact open mapping projects. What we do 4 velibernati dolor Each grantee’s project focused on increasing resilience to or responding a volorporro to local hazards and was designed and executed entirely by local leaders. Our Impact blaboreperum The HOT global volunteer community activated a total of 11 times for coreicidel disaster responses, delivering critical base map data to humanitarian partner maionsequis et qua. 11. Refugee Response 6 organizations. We proudly launched a new version of our Tasking Manager and “bridged the gap” between citizen generated data and the humanitarian 22. -
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.