Geoinformatics 2007—Data to Knowledge
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Geoscience Information Society
GEOSCIENCE INFORMATION SOCIETY Geoscience Information: Making the Earth Sciences Accessible for Everyone Proceedings Volume 38 2007 Proceedings of the 42nd Meeting of the Geoscience Information Society October 28-31, 2007 Denver, Colorado USA GEOSCIENCE INFORMATION: MAKING THE EARTH SCIENCES ACCESSIBLE FOR EVERYONE Edited by Claudette Cloutier Proceedings Volume 38 2007 Geoscience Information Society Copyright 2009 by the Geoscience Information Society Material published in this volume may be reproduced and distributed in any format via any means by individuals for research, classroom, or reserve use. In addition, authors may use all or part of this work in any future works provided that they credit the original publication by the Society. GEOSCIENCE INFORMATION SOCIETY ISBN: 978-0-934485-42-5 For information about copies of this proceedings volume or earlier issues, contact: Publications Manager Geoscience Information Society C/O American Geological Institute 4220 King Street Alexandria, VA 22302-1502 USA Cover illustration: Blue Bear at the Denver Conference Center. Photo by Elizabeth Thomsen at http://www.flickr.com/photos/ethomsen/148894381/. This work is licensed under the Creative Commons Attribution-Noncommercial-Share Alike License. TABLE OF CONTENTS PREFACE ..................................................................................................................................................... v PART 1: GSA Topical Session T144 ......................................................................................................... -
Handbook of Research on Geoinformatics
Handbook of Research on Geoinformatics Hassan A. Karimi University of Pittsburgh, USA INFORMATION SCIENCE REFERENCE Hershey • New York Director of Editorial Content: Kristin Klinger Director of Production: Jennifer Neidig Managing Editor: Jamie Snavely Assistant Managing Editor: Carole Coulson Typesetter: Jeff Ash Cover Design: Lisa Tosheff Printed at: Yurchak Printing Inc. Published in the United States of America by Information Science Reference (an imprint of IGI Global) 701 E. Chocolate Avenue, Suite 200 Hershey PA 17033 Tel: 717-533-8845 Fax: 717-533-8661 E-mail: [email protected] Web site: http://www.igi-global.com and in the United Kingdom by Information Science Reference (an imprint of IGI Global) 3 Henrietta Street Covent Garden London WC2E 8LU Tel: 44 20 7240 0856 Fax: 44 20 7379 0609 Web site: http://www.eurospanbookstore.com Copyright © 2009 by IGI Global. All rights reserved. No part of this publication may be reproduced, stored or distributed in any form or by any means, electronic or mechanical, including photocopying, without written permission from the publisher. Product or company names used in this set are for identification purposes only. Inclusion of the names of the products or companies does not indicate a claim of ownership by IGI Global of the trademark or registered trademark. Library of Congress Cataloging-in-Publication Data Handbook of research on geoinformatics / Hassan A. Karimi, editor. p. cm. Includes bibliographical references and index. Summary: "This book discusses the complete range of contemporary research topics such as computer modeling, geometry, geoprocessing, and geographic information systems"--Provided by publisher. ISBN 978-1-59904-995-3 (hardcover) -- ISBN 978-1-59140-996-0 (ebook) 1. -
Bsc Geoinformatics (02133393)
University of Pretoria Yearbook 2021 BSc Geoinformatics (02133393) Department Geography, Geoinformatics and Meteorology Minimum duration of 3 years study Total credits 425 NQF level 07 Admission requirements ● The closing date is an administrative admission guideline for non-selection programmes. Once a non-selection programme is full and has reached the institutional targets, then that programme will be closed for further admissions, irrespective of the closing date. However, if the institutional targets have not been met by the closing date, then that programme will remain open for admissions until the institutional targets are met. ● The following persons will be considered for admission: candidates who are in possession of a certificate that is deemed by the University to be equivalent to the required National Senior Certificate with university endorsement, candidates who are graduates from another tertiary institution or have been granted the status of a graduate of such an institution, and candidates who are graduates of another faculty at the University of Pretoria. ● Life Orientation is excluded from the calculation of the Admission Point Score (APS). ● Grade 11 results are used for the conditional admission of prospective students. Final admission is based on Grade 12 results. ● Please note that the Faculty does not accept GED and School of Tomorrow qualifications for entry into our programmes. Transferring students Candidates previously registered at UP or at another university The faculty’s Admissions Committee considers applications of candidates who have already completed the final NSC or equivalent qualification examination and/or were previously registered at UP or another university, on grounds of their final NSC or equivalent qualification results as well as academic merit. -
Geoinformatics (GI) (Nsf21583) |
Geoinformatics (GI) PROGRAM SOLICITATION NSF 21-583 REPLACES DOCUMENT(S): NSF 19-561 National Science Foundation Directorate for Geosciences Division of Earth Sciences Full Proposal Deadline(s) (due by 5 p.m. submitter's local time): August 16, 2021 August 15, Every Other Year Thereafter IMPORTANT INFORMATION AND REVISION NOTES Revisions from NSF 19-561 include: Updated Award Information, including the anticipated funding amount, is provided. Updated introduction and description of the Geoinformatics program, detailing a new program emphasis on justice, equity, diversity, and inclusion (JEDI), is provided. Proposers are now required to identify whether their proposal is "Catalytic", "Facility" or "Sustainability" track in the beginning of the proposal title. The Essential Elements and Additional Solicitation Specific Review Criteria for proposals have been updated. Proposals may now include requests for cloud computing resources through an external cloud access entity supported by NSF's Enabling Access to Cloud Computing Resources for CISE Research and Education (Cloud Access) Program. Additional proposal preparation instructions now apply. Please see the full text of this solicitation for further information. Additional award conditions now apply. Please see the full text of this solicitation for further information. Any proposal submitted in response to this solicitation should be submitted in accordance with the revised NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 20-1), which is effective for proposals submitted, or due, on or after June 1, 2020. SUMMARY OF PROGRAM REQUIREMENTS General Information Program Title: Geoinformatics (GI) Synopsis of Program: The Division of Earth Sciences (EAR) will consider proposals for the development of cyberinfrastructure (CI) for the Earth Sciences (Geoinformatics). -
Seismic Wave Analysis and Real-Time Monitor: User Manual and Reference Guide
SWARM Seismic Wave Analysis and Real-time Monitor: User Manual and Reference Guide Version 3.1.0 February 2020 Table of Contents 1 Introduction .......................................................................................................................................... 6 1.1 About ............................................................................................................................................. 6 2 Getting Started ...................................................................................................................................... 6 2.1 System Requirements ................................................................................................................... 6 2.2 Installing SWARM .......................................................................................................................... 6 2.3 Running SWARM ........................................................................................................................... 7 3 Data Sources and Channels ................................................................................................................... 8 3.1 Introduction .................................................................................................................................. 8 3.2 General Usage ............................................................................................................................... 8 3.3 Data Source Types ........................................................................................................................ -
Seisio: a Fast, Efficient Geophysical Data Architecture for the Julia
1 SeisIO: a fast, efficient geophysical data architecture for 2 the Julia language 1∗ 2 2 2 3 Joshua P. Jones , Kurama Okubo , Tim Clements , and Marine A. Denolle 1 4 4509 NE Sumner St., Portland, OR, USA 2 5 Department of Earth and Planetary Sciences, Harvard University, MA, USA ∗ 6 Corresponding author: Joshua P. Jones ([email protected]) 1 7 Abstract 8 SeisIO for the Julia language is a new geophysical data framework that combines the intuitive 9 syntax of a high-level language with performance comparable to FORTRAN or C. Benchmark 10 comparisons with recent versions of popular programs for seismic data download and analysis 11 demonstrate significant improvements in file read speed and orders-of-magnitude improvements 12 in memory overhead. Because the Julia language natively supports parallel computing with an 13 intuitive syntax, we benchmark test parallel download and processing of multi-week segments of 14 contiguous data from two sets of 10 broadband seismic stations, and find that SeisIO outperforms 15 two popular Python-based tools for data downloads. The current capabilities of SeisIO include file 16 read support for several geophysical data formats, online data access using FDSN web services, 17 IRIS web services, and SeisComP SeedLink, with optimized versions of several common data 18 processing operations. Tutorial notebooks and extensive documentation are available to improve 19 the user experience (UX). As an accessible example of performant scientific computing for the 20 next generation of researchers, SeisIO offers ease of use and rapid learning without sacrificing 21 computational performance. 2 22 1 Introduction 23 The dramatic growth in the volume of collected geophysical data has the potential to lead to 24 tremendous advances in the science (https://ds.iris.edu/data/distribution/). -
Open-Source ANSS Quake Monitoring System Software J
Focus Section: Regional Seismic Networks in North America Open-Source ANSS Quake Monitoring System Software J. Renate Hartog*1, Paul A. Friberg2, Victor C. Kress1, Paul Bodin1, and Rayomand Bhadha3 Abstract ANSS stands for the Advanced National Seismic System of the U.S.A., and ANSS Quake Monitoring System (AQMS) is the earthquake management system (EMS) that most of its member regional seismic networks (RSNs) use. AQMS is based on Earthworm, but instead of storing files on disk, it uses a relational database with replication capability to store pick, amplitude, waveform, and event parameters. The replicated database and other features of AQMS make it a fully redundant system. A graphical user interface written in Java, Jiggle, is used to review automatically generated picks and event solutions, relo- cate events, and recalculate magnitudes. Add-on mechanisms to produce various post- earthquake products such as ShakeMaps and focal mechanisms are available as well. It provides a configurable automatic alarming and notification system. The Pacific Northwest Seismic Network, one of the Tier 1 ANSS RSNs, has modified AQMS to be com- patible with a freely available, capable, open-source database system, PostgreSQL, and is running this version successfully in production. The AQMS Software Working Group has moved the software from a subversion repository server hosted at the California Institute Cite this article as Renate Hartog, J., of Technology to a public repository at gitlab.com. The drawback of AQMS as a whole is P. A. Friberg, V. C. Kress, P. Bodin, and that it is complex to fully configure and comprehend. Nevertheless, the fact that it is very R. -
Curriculum of Geoinformatics – Integration of Remote Sensing and Geographical Information Technology
Virrantaus, Kirsi CURRICULUM OF GEOINFORMATICS – INTEGRATION OF REMOTE SENSING AND GEOGRAPHICAL INFORMATION TECHNOLOGY Kirsi VIRRANTAUS*, Henrik HAGGRÉN** Helsinki University of Technology, Finland Department of Surveying *Institute of Geodesy and Cartography [email protected] **Institute of Photogrammetry and Remote Sensing [email protected] KEY WORDS: Geoinformatics, Geoinformation technique, Remote Sensing, Information technique, Curriculum, Surveyor. ABSTRACT This paper describes the development of Geoinformatics at Helsinki University of Technology as an independent curriculum in surveying studies. Geoinformatics includes Geoinformation Technique and Remote Sensing. The goal of this curriculum is to produce graduated students who have knowledge both in vector and raster based geoinformation processing. GIS design and software development, vector based data base management as well as algorithms for analysis and methods of visualization are representatives of the educational contents of Geoinformation Technique. Remote Sensing includes image processing methods, satellite technologies and use of images in different application areas. This paper outlines the structure and contents of this curriculum. We also discuss the need of Geoinformatics as an independent curriculum in the network of university curricula. 1 INTRODUCTION 1.1 BACKGROUND In most universities the curricula of Remote Sensing (RS) and Geoinformation Technique (GIT) are separated into different laboratories under different professorships. While Remote Sensing -
Seisan = Earthquake Analysis Software
SEISAN EARTHQUAKE ANALYSIS SOFTWARE FOR WINDOWS, SOLARIS, LINUX and MACOSX Version 12.0 Lars Ottem¨oller(1) Peter H. Voss(2) Jens Havskov(1) (1) Department of Earth Science (2) Geological Survey of Denmark and Greenland University of Bergen Øster Voldgade 10 Allgaten 41 1350 Copenhagen K 5007 Bergen Denmark Norway http://seisan.info Bergen June 08, 2021 2 Publisher University of Bergen Department of Earth Science Allegatan 41 NO-5007 Bergen NORWAY ISBN 978-82-8088-501-2 (PDF) Cover The photo on the cover show the sensor at the BSD station, in Denmark, spring 2021. Photograph: P. Voss. Citiation If you need to cite this manual : Ottem¨oller,L., Voss, P.H. and Havskov J. (2021). SEISAN Earthquake Analysis Software for Windows, Solaris, Linux and Macosx, Version 12.0. 607 pp. University of Bergen. ISBN 978-82-8088-501-2, URL http://seisan.info. Alternatively use: Havskov et al. [2020] Havskov, J., Voss, P.H. and Ottem¨oller,L. (2020). Seismological Observatory Software: 30 Yr of SEISAN. Seismological Research Letters, 91 (3): 1846-1852. DOI: https://doi.org/10.1785/0220190313 Contact See SEISAN mailing lists on page 6. Alternatively use: Lars Ottem¨[email protected] Peter H. Voss [email protected] Jens Havskov [email protected] Copyright ©2021 Ottem¨oller,Voss and Havskov. Contents 1 Introduction 1 1.1 Changes in the SEISAN version 12.0 (released 2021-06-08) . .2 1.1.1 A new Nordic Format, Nordic2 . .3 1.2 Information about SEISAN online . .5 2 Structure of SEISAN 7 2.1 Directories . -
Geoinformatics for Natural Resources Management Vis-À-Vis Environmental Justice
Geoinformatics for Natural Resources Management vis-à-vis Environmental Justice Parthasarathi Chakrabarti Remote Sensing Cell, DST & NES, Govt. of West Bengal, Bikash Bhavan, Salt Lake, Kolkata – 700 091 [email protected] KEYWORDS: Geo-environmental Mapping, Remote Sensing, Change Detection, Visualization, GIS ABSTRACT: In natural resources and environmental management Environmental Impact Analysis (EIA) is an essential component to specify the guidelines for biodiversity conservation. Conceptually, ‘Geo-environmental mapping’ depicts EIA results in spatial format exemplifying the change in geosphere of the environment in human orientation. Easy-to-understand presentation of data in 'Geo-environmental mapping' requires identification of Geo-environmental indicators and unit, in relation to Natural System Unit (NSU) or Terrain Mapping Unit (TMU) through terrain evaluation procedure. In this respect, Geo-informatics (operational combination of RS and GIS technologies) play facilitator role in collection and visualization of up-to-date spatial data as well as integration and analysis of the same with aspatial database to generate application specific 'strategic datasets' for technological adjustment (structural means) and social adaptations (non-structural means), towards environmentally sound landuse/ landcover practices, minimizing the adverse effects of natural hazards (e.g. droughts, floods, bank failure) land degradation etc. This paper speaks on applicability of ‘Geo-environmental mapping’ citing case history examples from eastern -
MAP DESIGN a Development of Background Map Visualisation in Digpro Dppower Application
EXAMENSARBETE INOM TEKNIK, GRUNDNIVÅ, 15 HP STOCKHOLM, SVERIGE 2017 MAP DESIGN A development of background map visualisation in Digpro dpPower application FREDRIK AHNLÉN KTH SKOLAN FÖR ARKITEKTUR OCH SAMHÄLLSBYGGNAD Acknowledgments Annmari Skrifvare, Digpro AB, co-supervisor. For setting up test environment, providing feed- back and support throughout the thesis work. Jesper Svedberg, Digpro AB, senior-supervisor. For providing feedback both in the start up process of the thesis work as well as the evaluation part. Milan Horemuz, KTH Geodesy and Geoinformatics, co-supervisor. For assisting in the structur- ing of the thesis work as well as providing feedback and support. Anna Jenssen, KTH Geodesy and Geoinformatics, examiner. Finally big thanks to Anders Nerman, Digpro AB, for explaining the fundamentals of cus- tomer usage of dpPower and Jeanette Stenberg, Kraftringen, Gunilla Pettersson, Eon Energi, Karin Backström, Borlänge Energi, Lars Boström, Torbjörn Persson and Thomas Björn- hager, Smedjebacken Energi Nät AB, for providing user feedback via interviews and survey evaluation. i Abstract What is good map design and how should information best be visualised for a human reader? This is a general question relevant for all types of design and especially for digital maps and various Geographic Information Systems (GIS), due to the rapid development of our digital world. This general question is answered in this thesis by presenting a number of principles and tips for design of maps and specifically interactive digital visualisation systems, such as a GIS. Furthermore, this knowledge is applied to the application dpPower, by Digpro, which present the tools to help customers manage, visualise, design and perform calculations on their electrical networks. -
Astro2020 State of the Profession Consideration White Paper
Astro2020 State of the Profession Consideration White Paper Realizing the potential of astrostatistics and astroinformatics September 27, 2019 Principal Author: Name: Gwendolyn Eadie4;5;6;15;17 Email: [email protected] Co-authors: Thomas Loredo1;19, Ashish A. Mahabal2;15;16;18, Aneta Siemiginowska3;15, Eric Feigelson7;15, Eric B. Ford7;15, S.G. Djorgovski2;20, Matthew Graham2;15;16, Zˇeljko Ivezic´6;16, Kirk Borne8;15, Jessi Cisewski-Kehe9;15;17, J. E. G. Peek10;11, Chad Schafer12;19, Padma A. Yanamandra-Fisher13;15, C. Alex Young14;15 1Cornell University, Cornell Center for Astrophysics and Planetary Science (CCAPS) & Department of Statistical Sciences, Ithaca, NY 14853, USA 2Division of Physics, Mathematics, & Astronomy, California Institute of Technology, Pasadena, CA 91125, USA 3Center for Astrophysics j Harvard & Smithsonian, Cambridge, MA 02138, USA 4eScience Institute, University of Washington, Seattle, WA 98195, USA 5DIRAC Institute, Department of Astronomy, University of Washington, Seattle, WA 98195, USA 6Department of Astronomy, University of Washington, Seattle, WA 98195, USA 7Penn State University, University Park, PA 16802, USA 8Booz Allen Hamilton, Annapolis Junction, MD, USA 9Department of Statistics & Data Science, Yale University, New Haven, CT 06511, USA 10Department of Physics & Astronomy, Johns Hopkins University, Baltimore, MD 21218, USA arXiv:1909.11714v1 [astro-ph.IM] 25 Sep 2019 11Space Telescope Science Institute, Baltimore, MD 21218, USA 12Department of Statistics & Data Science Carnegie Mellon University, Pittsburgh,