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OpenStreetMap is the free and open wiki map of the world made by millions of volunteers whoíre just like you. Contributors use paper, pens, GPS devices, phones and laptops to capture the world around them (like a street name and location) and then upload it to OSM. The map data is then given away for free, all just like wikipedia. This book contains 15 interviews conducted by OSM founder Steve Coast with the people who were there as the project began and grew. Starting in 2004, the interviews trace how a rag tag collection of volunteers was able to produce a map which compares in quality to maps produced by multi-billion dollar corporations. Learn how such an ambitious project got started and then succeeded at mapping the world, for free!
Be your own cartographer.
This edited volume presents a collection of lessons learned with, and research conducted on, OpenStreetMap, the goal being to promote the project’s integration. The respective chapters address a) state-of-the-art and cutting-edge approaches to data quality analysis in OpenStreetMap, b) investigations on understanding OpenStreetMap contributors and the nature of their contributions, c) identifying patterns of contributions and contributors, d) applications of OpenStreetMap in different domains, e) mining value-added knowledge and information from OpenStreetMap, f) limitations in the analysis OpenStreetMap data, and g) integrating OpenStreetMap with commercial and non-commercial datasets. The book offers an ideal opportunity to present and disseminate a number of cutting-edge developments and applications in the field of geography, spatial statistics, GIS, social science, and cartography.
This handbook provides a comprehensive look at OpenStreetMap (OSM), the web-based editable map of the world that enables people to freely view, edit, and use geographical data in a collaborative way from anywhere on the Earth. Written for novices as well as IT specialists by two experts directly involved with OSM, this guide presents an introduction to the OSM community, the data model, and the software used in the project and offers practical, hands-on advice to contributors and users of OSM geodata. Directions for accessing OSM data and rendering custom maps with Osmarender, Mapnik, and Garmin GPS devices are included, along with a discussion of licensing issues for the maps and techniques for users seeking to run their own OSM servers.
Written by an expert in the development of GPS systems with digital maps and navigation, Programming GPS and OpenStreetMap Applications with Java: The RealObject Application Framework provides a concrete paradigm for object-oriented modeling and programming. It presents a thorough introduction to the use of available global positioning data for the development of applications involving digital maps. The author first describes the different formats of GPS data and digital maps and shows how to use recorded GPS traces to replay and display this data on a digital map. Then, he works through in detail the processing steps of obtaining dedicated data from OpenStreetMaps and how to extract a network for a simple navigation application. For each topic covered—GPS data, OpenStreetMaps, and navigation—Java code is developed that can easily be adapted to the readers’ needs and locality. Finally, all components are put together in a sample computer-game application modeled on the well-known board game, Scotland Yard. The computer game is intended to be a basis from which readers can develop and customize their own application for their desired geographical area. The developed application can be "published" on the Internet and made available for interactive multiplayer competition. This book provides a fun and interesting way to learn distributed programming with Java and real-world data. Open-source software is available on a companion website at www.roaf.de
With over one million books sold in her career, Joyce Rupp presents her newest undertaking: a unique collection of daily meditations that draw from Christian, Jewish, Muslim, Hindu, and other sources, offering wisdom and insight about the God who is beyond all names. Bestselling author Joyce Rupp once again proves herself a wise and gentle spiritual midwife, drawing forth 365 names of God from the world’s spiritual treasury. Fragments of Your Ancient Name—whose title comes from a poem by German mystic Rainer Maria Rilke—assembles a remarkable collection of reflections for each day of the year. This unique and profound devotional will heighten awareness of the many names by which God is known around the world. Whether drawing from the Psalms, Sufi saints, Hindu poets, Native American rituals, contemporary writers, or the Christian gospels, Rupp stirs the imagination and the heart to discover a new dimension of God. Each name is explored in a ten-line poetic meditation and is complemented by a simple sentence that serves as a reminder of the name of God throughout the day.
The long-awaited book from best-selling spiritual guide Joyce Rupp, creatively leads readers to explore how the image of the door can guide them in a process of discovering their true self. Joyce Rupp brings new life to the ageless spiritual image of the door, weaving insights from East and West with the wisdom of contemporary spiritual writers, poets, and novelists in a practical format that is just right for contemporary readers. Structured as a daily prayer guide for everyday use over six weeks, each day offers a thematic reflection, a guided meditation, an original prayer, a thoughtful question, and a related scripture quote. A built-in guide for small groups makes this the perfect resource for groups of all kinds as well as individuals.
Maps are a fundamental resource in a diverse array of applications ranging from everyday activities, such as route planning through the legal demarcation of space to scientific studies, such as those seeking to understand biodiversity and inform the design of nature reserves for species conservation. For a map to have value, it should provide an accurate and timely representation of the phenomenon depicted and this can be a challenge in a dynamic world. Fortunately, mapping activities have benefitted greatly from recent advances in geoinformation technologies. Satellite remote sensing, for example, now offers unparalleled data acquisition and authoritative mapping agencies have developed systems for the routine production of maps in accordance with strict standards. Until recently, much mapping activity was in the exclusive realm of authoritative agencies but technological development has also allowed the rise of the amateur mapping community. The proliferation of inexpensive and highly mobile and location aware devices together with Web 2.0 technology have fostered the emergence of the citizen as a source of data. Mapping presently benefits from vast amounts of spatial data as well as people able to provide observations of geographic phenomena, which can inform map production, revision and evaluation. The great potential of these developments is, however, often limited by concerns. The latter span issues from the nature of the citizens through the way data are collected and shared to the quality and trustworthiness of the data. This book reports on some of the key issues connected with the use of citizen sensors in mapping. It arises from a European Co-operation in Science and Technology (COST) Action, which explored issues linked to topics ranging from citizen motivation, data acquisition, data quality and the use of citizen derived data in the production of maps that rival, and sometimes surpass, maps arising from authoritative agencies.
Break through the hype and learn how to extract actionable intelligence from the flood of IoT data About This Book Make better business decisions and acquire greater control of your IoT infrastructure Learn techniques to solve unique problems associated with IoT and examine and analyze data from your IoT devices Uncover the business potential generated by data from IoT devices and bring down business costs Who This Book Is For This book targets developers, IoT professionals, and those in the field of data science who are trying to solve business problems through IoT devices and would like to analyze IoT data. IoT enthusiasts, managers, and entrepreneurs who would like to make the most of IoT will find this equally useful. A prior knowledge of IoT would be helpful but is not necessary. Some prior programming experience would be useful What You Will Learn Overcome the challenges IoT data brings to analytics Understand the variety of transmission protocols for IoT along with their strengths and weaknesses Learn how data flows from the IoT device to the final data set Develop techniques to wring value from IoT data Apply geospatial analytics to IoT data Use machine learning as a predictive method on IoT data Implement best strategies to get the most from IoT analytics Master the economics of IoT analytics in order to optimize business value In Detail We start with the perplexing task of extracting value from huge amounts of barely intelligible data. The data takes a convoluted route just to be on the servers for analysis, but insights can emerge through visualization and statistical modeling techniques. You will learn to extract value from IoT big data using multiple analytic techniques. Next we review how IoT devices generate data and how the information travels over networks. You'll get to know strategies to collect and store the data to optimize the potential for analytics, and strategies to handle data quality concerns. Cloud resources are a great match for IoT analytics, so Amazon Web Services, Microsoft Azure, and PTC ThingWorx are reviewed in detail next. Geospatial analytics is then introduced as a way to leverage location information. Combining IoT data with environmental data is also discussed as a way to enhance predictive capability. We'll also review the economics of IoT analytics and you'll discover ways to optimize business value. By the end of the book, you'll know how to handle scale for both data storage and analytics, how Apache Spark can be leveraged to handle scalability, and how R and Python can be used for analytic modeling. Style and approach This book follows a step-by-step, practical approach to combine the power of analytics and IoT and help you get results quickly