Geonode: an Open Source Framework To
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Geosense an Open Publishing Platform for Visualization, Social Sharing, and Analysis of Geospatial Data
GeoSense An open publishing platform for visualization, social sharing, and analysis of geospatial data. ARCHNES Anthony DeVincenzi TT I T B.F.A. Visual Communication, Seattle Art Institute 2007 Submitted to the Program in Media Arts and Sciences, Shlf A- hi dlI c, oo~ o rcecur an- annng11, in partial fulfillment of the requirements for the degree of Master of Science in Media Arts and Sciences at the Massachusetts Institute of Technology June 2012 @ 2012 Massachusetts Institute of Technology. All rights reserved Aut or Anthony DeVincenzi Program in Media Arts and Sciences May 11, 2012 Certified by Dr. Hiroshi Ishii Jerome B. Wiesner Professor of Media Arts and Sciences Associate Director, MIT Media Lab Program in Media Arts and Sciences Accepted by Dr. Mitchel Resnick Chairperson, Departmental Committee on Graduate Students Program in Media Arts and Sciences GeoSense An open publishing platform for visualization, social sharing, and analysis of geospatial data. Anthony DeVincenzi ;~ Thesis Supervisor Dr. Hiroshi Ishii Jerome B. Wiesner Professor of Media Arts and Sciences Associate Director, MIT Media Lab Program in Media and Sciences Thesis Reader Cesar A. Hidalgo Assistant Professor, MIT Media Lab {' 34> Thesis Reader Joi Ito Director, MIT Media Lab Acknowledgments THANK YOU, Hiroshi, my advisor, for allowing me to diverge greatly from our group's pri- mary area of research to investigate an area I believe to be strikingly mean- ingful; for no holds barred in critique, and providing endless insight. The Tangible Media Group, my second family, who adopted me as a designer and allowed me to play pretend engineer. Samuel Luescher, for co-authoring GeoSense alongside me. -
Open Geospatial Data, Software and Standards (2020) 5:1 Open Geospatial Data, Software and Standards
Minghini et al. Open Geospatial Data, Software and Standards (2020) 5:1 Open Geospatial Data, https://doi.org/10.1186/s40965-020-0074-y Software and Standards EDITORIAL Open Access Geospatial openness: from software to standards & data Marco Minghini1*, Amin Mobasheri2, Victoria Rautenbach3 and Maria Antonia Brovelli4 Abstract This paper is the editorial of the Special Issue “Open Source Geospatial Software”, which features 10 published papers. The editorial introduces the concept of openness and, within the geospatial context, declines it into the three main components of software, data and standards. According to this classification, the papers published in the Special Issue are briefly summarized and a future research agenda in the open geospatial domain is finally outlined. Introduction Army Construction Engineering Research Laboratories, The Open Definition qualifies knowledge as open “if while in the 1990s the history of Web Mapping began anyone is free to access, use, modify, and share it — sub- with MapServer (https://mapserver.org), originally devel- ject, at most, to measures that preserve provenance and oped by the University of Minnesota. The success of openness” [1]. This definition, derived from the Open both projects as well as the communities they were able Source Definition [2] which is specific to software, puts to attract explain the important role they still play today forward the idea of a common good based on access to in the open source geospatial arena. The establishment information that everyone can benefit from. This vision in 2006 of the Open Source Geospatial Foundation of a so-called ‘Open world’ is brilliantly invoked by Pol- (OSGeo, https://www.osgeo.org), dedicated to the devel- lock, who calls for an open revolution – where everyone opment and support of open source geospatial technolo- would have the freedom to use, enjoy and build on gies, was the key milestone to certify the maturity of everything – in a digital age where most information is open geospatial software and the related community. -
Connections Between the Atlantic and the Amazonian Forest Avifaunas Represent Distinct Historical Events
J Ornithol (2013) 154:41–50 DOI 10.1007/s10336-012-0866-7 ORIGINAL ARTICLE Connections between the Atlantic and the Amazonian forest avifaunas represent distinct historical events Henrique Batalha-Filho • Jon Fjeldsa˚ • Pierre-Henri Fabre • Cristina Yumi Miyaki Received: 4 October 2011 / Revised: 20 March 2012 / Accepted: 25 May 2012 / Published online: 16 June 2012 Ó Dt. Ornithologen-Gesellschaft e.V. 2012 Abstract There is much evidence to support past contact important roles in these connections were geotectonic between the Atlantic and the Amazon forests through the events during the late Tertiary associated with the uplift of South American dry vegetation diagonal, but the spatio- the Andes (old connections) and Quaternary climate temporal dynamics of this contact still need to be investi- changes that promoted the expansion of gallery forest gated to allow a better understanding of its biogeographic through the Cerrado and Caatinga in northeastern Brazil implications for birds. Here, we combined phylogenetic (young connections). Our results provide the first general data with distributional data using a supermatrix approach temporal and spatial model of how the Atlantic and in order to depict the historical connection dynamics Amazonian forests were connected in the past, which was between these biomes for New World suboscines. We derived using bird data. examined the variation in divergence time and then com- pared the spatial distributions of taxon pairs representing Keywords Neotropical region Á New World suboscines Á old and recent -
Laura Vaughan
Mapping From a rare map of yellow fever in eighteenth-century New York, to Charles Booth’s famous maps of poverty in nineteenth-century London, an Italian racial Laura Vaughan zoning map of early twentieth-century Asmara, to a map of wealth disparities in the banlieues of twenty-first-century Paris, Mapping Society traces the evolution of social cartography over the past two centuries. In this richly illustrated book, Laura Vaughan examines maps of ethnic or religious difference, poverty, and health Mapping inequalities, demonstrating how they not only serve as historical records of social enquiry, but also constitute inscriptions of social patterns that have been etched deeply on the surface of cities. Society The book covers themes such as the use of visual rhetoric to change public Society opinion, the evolution of sociology as an academic practice, changing attitudes to The Spatial Dimensions physical disorder, and the complexity of segregation as an urban phenomenon. While the focus is on historical maps, the narrative carries the discussion of the of Social Cartography spatial dimensions of social cartography forward to the present day, showing how disciplines such as public health, crime science, and urban planning, chart spatial data in their current practice. Containing examples of space syntax analysis alongside full-colour maps and photographs, this volume will appeal to all those interested in the long-term forces that shape how people live in cities. Laura Vaughan is Professor of Urban Form and Society at the Bartlett School of Architecture, UCL. In addition to her research into social cartography, she has Vaughan Laura written on many other critical aspects of urbanism today, including her previous book for UCL Press, Suburban Urbanities: Suburbs and the Life of the High Street. -
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. -
Laura Vaughan
Mapping From a rare map of yellow fever in eighteenth-century New York, to Charles Booth’s famous maps of poverty in nineteenth-century London, an Italian racial Laura Vaughan zoning map of early twentieth-century Asmara, to a map of wealth disparities in the banlieues of twenty-first-century Paris, Mapping Society traces the evolution of social cartography over the past two centuries. In this richly illustrated book, Laura Vaughan examines maps of ethnic or religious difference, poverty, and health Mapping inequalities, demonstrating how they not only serve as historical records of social enquiry, but also constitute inscriptions of social patterns that have been etched deeply on the surface of cities. Society The book covers themes such as the use of visual rhetoric to change public Society opinion, the evolution of sociology as an academic practice, changing attitudes to The Spatial Dimensions physical disorder, and the complexity of segregation as an urban phenomenon. While the focus is on historical maps, the narrative carries the discussion of the of Social Cartography spatial dimensions of social cartography forward to the present day, showing how disciplines such as public health, crime science, and urban planning, chart spatial data in their current practice. Containing examples of space syntax analysis alongside full-colour maps and photographs, this volume will appeal to all those interested in the long-term forces that shape how people live in cities. Laura Vaughan is Professor of Urban Form and Society at the Bartlett School of Architecture, UCL. In addition to her research into social cartography, she has Vaughan Laura written on many other critical aspects of urbanism today, including her previous book for UCL Press, Suburban Urbanities: Suburbs and the Life of the High Street. -
Release 4.2.0 Ask Solem Contributors
Celery Documentation Release 4.2.0 Ask Solem contributors Jun 10, 2018 Contents 1 Getting Started 3 2 Contents 5 3 Indices and tables 683 Bibliography 685 Python Module Index 687 i ii Celery Documentation, Release 4.2.0 Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system. It’s a task queue with focus on real-time processing, while also supporting task scheduling. Celery has a large and diverse community of users and contributors, you should come join us on IRC or our mailing- list. Celery is Open Source and licensed under the BSD License. Contents 1 Celery Documentation, Release 4.2.0 2 Contents CHAPTER 1 Getting Started • If you’re new to Celery you can get started by following the First Steps with Celery tutorial. • You can also check out the FAQ. 3 Celery Documentation, Release 4.2.0 4 Chapter 1. Getting Started CHAPTER 2 Contents 2.1 Copyright Celery User Manual by Ask Solem Copyright © 2009-2016, Ask Solem. All rights reserved. This material may be copied or distributed only subject to the terms and conditions set forth in the Creative Commons Attribution-ShareAlike 4.0 International <https://creativecommons.org/licenses/by-sa/4.0/ legalcode>‘_ license. You may share and adapt the material, even for commercial purposes, but you must give the original author credit. If you alter, transform, or build upon this work, you may distribute the resulting work only under the same license or a license compatible to this one. -
Ethan Chiu [email protected] | EDUCATION University of California, Berkeley Graduating May 2022 B.A
Ethan Chiu [email protected] | https://ethanchiu.xyz/ EDUCATION University of California, Berkeley Graduating May 2022 B.A. Computer Science Activities: The Berkeley Group Diablo Valley College June 2017 - May 2018 Dual Enrollment with Wellesley High School GPA: 3.739/4.0 Relevant Coursework: Analytic Geometry/Calculus I, Intro to Programming, Adv Programming with C++, Analytic Geometry/Calculus II, Mech. & Wave Motion, Assembly Lang Prog., Linear Algebra, Analytic Geometry & Calculus III Awards 3rd Place State Award, 2nd Place State Award, & Top 5% of National Teams for CyberPatriot (February 2017, 2016, 2015) Silver Tier for United States Academic Computing Olympiad (December 2016) WORK EXPERIENCE Alpaca | San Mateo, CA June 2018 - Present Software Engineering Intern ● Built CryptoScan which analyzes over 19 cryptocurrencies and identifies bullish and bearish signals over 100 technical analysis rules ● Created a Go plugin that backfills & actively collects cryptocurrency price data for the open-source financial database library MarketStore ● Optimized their algo trading platform by converting Java encryption libraries to Go, improving the performance by 40% Wellesley College | Wellesley, MA September 2015 - May 2018 Researcher under the guidance of Eni Mustafaraj ● Modelled anonymous platforms like the Discord platform using ML & AI techniques w/ Gephi, scikit-learn, and NTLK ● Collected & analyzed millions of Discord messages using Python and its’ libraries such as Pandas, Selenium, -
Absolutely Not Recommended Worker Celery
Absolutely Not Recommended Worker Celery Pithecoid Cyrille quotes her Kirkcudbright so uproariously that Bryce scandals very legibly. Chocolaty and commissural Tre trephine some wakens so mumblingly! Clair infuriate submissively. With generating income in case you! The celery worker connection timeout among the! However change the celery import uploaded data processing. It absolutely no celery is not with plugin configuration. Greenlets do not worker instance type is recommended if you recommend you have a must try to workers then please let me breakfast as our local. Possess you absolutely love the worker with some emails and also, o possuidor possui potencial de o possuidor possui muito relevante. Web site administrators to celery worker browse the absolute best! Searching through writing due to other writers to be gotten in the continuum is recommended if all of thc cope with the quieter, the bowl of! Saved as not worker is recommended if you are buffeted by the workers may raise how to have! Migrating their absolute right here in celery workers were absolutely start the network connection timeout among the things. If not have absolutely worth comment on top alternatives in? The celery for not their material that much. This celery worker pool and absolutely anything essential for my opinion the absolute best part of a great methods to. You absolutely begin. There an amount of. How to not worker nodes during these suggestions for containers should i recommend in the absolute best. Numerous folks will definitely be running shop on a project from the best places from a robust immune systems. This celery worker should absolutely implement celery. -
Sebastian Witowski
Python @ CERN Sebastian Witowski CERN – home of the Large Hadron Collider that can spit up to 1 petabyte of collision data per second, impossible for the computing systems to record. The experiments, however, need only a small fraction of “interesting” events. The first-level trigger of ATLAS, for example, selects only 1 in 400 events (making decisions in ~2.5 millionths of a second). These are sent at 160 GB/second to the tens of thousands of processor cores which select 1% of the remaining events for analysis. Even after such drastic data reduction, there are still around 50 petabytes of data produced at CERN per year. How does Python fit in this ecosystem? It might not be fast enough to be used for filtering this amount of data, but nevertheless, there are many great projects created with Python at CERN. + Thousands of scientists every day analyse data produced by the experiments at CERN. SWAN (Service for Web based Analysis) allows scientists to analyse their data in the They need a tool that is based on a flexible and expressive language (like Python), but CERN cloud. It uses Jupyter notebooks as the interface. The users' sessions are also works fast with large amount of data. And this is exactly what PyROOT is – a encapsulated in containers, synchronized and stored via CERNBox (file synchronization Python module that allows users to interact with ROOT (a data analysis framework and sharing service build on top of Owncloud). Large datasets can be accessed on EOS written in C++, that is very popular in High Energy Physics community). -
Invenio-Indexer Documentation Release 1.1.2
invenio-indexer Documentation Release 1.1.2 CERN Apr 28, 2020 Contents 1 User’s Guide 3 1.1 Installation................................................3 1.2 Configuration...............................................3 1.3 Usage...................................................4 2 API Reference 9 2.1 API Docs.................................................9 3 Additional Notes 15 3.1 Contributing............................................... 15 3.2 Changes................................................. 17 3.3 License.................................................. 17 3.4 Contributors............................................... 18 Python Module Index 19 i ii invenio-indexer Documentation, Release 1.1.2 Record indexer for Invenio. Further documentation is available on https://invenio-indexer.readthedocs.io/ Contents 1 invenio-indexer Documentation, Release 1.1.2 2 Contents CHAPTER 1 User’s Guide This part of the documentation will show you how to get started in using Invenio-Indexer. 1.1 Installation Invenio-Indexer is on PyPI so all you need is: $ pip install invenio-indexer Invenio-Indexer depends on Invenio-Search, Invenio-Records and Celery/Kombu. Requirements Invenio-Indexer requires a message queue in addition to Elasticsearch (Invenio-Search) and a database (Invenio- Records). See Kombu documentation for list of supported message queues (e.g. RabbitMQ): http://kombu. readthedocs.io/en/latest/introduction.html#transport-comparison 1.2 Configuration Record indexer for Invenio. invenio_indexer.config.INDEXER_BEFORE_INDEX_HOOKS -
HPC-ABDS High Performance Computing Enhanced Apache Big Data Stack
HPC-ABDS High Performance Computing Enhanced Apache Big Data Stack Geoffrey C. Fox, Judy Qiu, Supun Kamburugamuve Shantenu Jha, Andre Luckow School of Informatics and Computing RADICAL Indiana University Rutgers University Bloomington, IN 47408, USA Piscataway, NJ 08854, USA fgcf, xqiu, [email protected] [email protected], [email protected] Abstract—We review the High Performance Computing En- systems as they illustrate key capabilities and often motivate hanced Apache Big Data Stack HPC-ABDS and summarize open source equivalents. the capabilities in 21 identified architecture layers. These The software is broken up into layers so that one can dis- cover Message and Data Protocols, Distributed Coordination, Security & Privacy, Monitoring, Infrastructure Management, cuss software systems in smaller groups. The layers where DevOps, Interoperability, File Systems, Cluster & Resource there is especial opportunity to integrate HPC are colored management, Data Transport, File management, NoSQL, SQL green in figure. We note that data systems that we construct (NewSQL), Extraction Tools, Object-relational mapping, In- from this software can run interoperably on virtualized or memory caching and databases, Inter-process Communication, non-virtualized environments aimed at key scientific data Batch Programming model and Runtime, Stream Processing, High-level Programming, Application Hosting and PaaS, Li- analysis problems. Most of ABDS emphasizes scalability braries and Applications, Workflow and Orchestration. We but not performance and one of our goals is to produce summarize status of these layers focusing on issues of impor- high performance environments. Here there is clear need tance for data analytics. We highlight areas where HPC and for better node performance and support of accelerators like ABDS have good opportunities for integration.