Free Software: a Review, in the Context of Disaster Management
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Quick Guide to Free Geoinformatics for Disaster Management
Disaster Risk Reduction Research Group - Centre for Applied Geoscience School of Earth and Environmental Sciences University of Portsmouth, UK. Quick Guide to Free Geoinformatics for Disaster Management Mathias Leidig & Richard Teeuw April 2016 (version 2.3) Copyright statement: This work is published under the creative commons license 3 (CC BY-NC-SA 3.0). The license grants you to share, copy, distribute, transmit and adapt this document for non-commercial purposes under share alike conditions (http://creativecommons.org/licenses/by-nc-sa/3.0/). Please refer to this document and its authors when modifying. Disaster Risk Reduction Research Group - Centre for Applied Geoscience School of Earth and Environmental Sciences University of Portsmouth, UK. Contents Introduction ................................................................................................ 3 1. Free datasets ....................................................................................... 4 Table 1: Geospatial data sources ............................................................ 4 2. Free Software ................................................................................... 13 Table 2.1. Free GIS software .............................................................. 15 Table 2.2. Free image processing software ......................................... 17 Table 2.3. Free data viewer ................................................................. 20 Table 2.4. GoogleEarth related tools ................................................... 20 Mini -
Assessmentof Open Source GIS Software for Water Resources
Assessment of Open Source GIS Software for Water Resources Management in Developing Countries Daoyi Chen, Department of Engineering, University of Liverpool César Carmona-Moreno, EU Joint Research Centre Andrea Leone, Department of Engineering, University of Liverpool Shahriar Shams, Department of Engineering, University of Liverpool EUR 23705 EN - 2008 The mission of the Institute for Environment and Sustainability is to provide scientific-technical support to the European Union’s Policies for the protection and sustainable development of the European and global environment. European Commission Joint Research Centre Institute for Environment and Sustainability Contact information Cesar Carmona-Moreno Address: via fermi, T440, I-21027 ISPRA (VA) ITALY E-mail: [email protected] Tel.: +39 0332 78 9654 Fax: +39 0332 78 9073 http://ies.jrc.ec.europa.eu/ http://www.jrc.ec.europa.eu/ Legal Notice Neither the European Commission nor any person acting on behalf of the Commission is responsible for the use which might be made of this publication. Europe Direct is a service to help you find answers to your questions about the European Union Freephone number (*): 00 800 6 7 8 9 10 11 (*) Certain mobile telephone operators do not allow access to 00 800 numbers or these calls may be billed. A great deal of additional information on the European Union is available on the Internet. It can be accessed through the Europa server http://europa.eu/ JRC [49291] EUR 23705 EN ISBN 978-92-79-11229-4 ISSN 1018-5593 DOI 10.2788/71249 Luxembourg: Office for Official Publications of the European Communities © European Communities, 2008 Reproduction is authorised provided the source is acknowledged Printed in Italy Table of Content Introduction............................................................................................................................4 1. -
AGD Landscape & Environment 6 (2) 2012. 76-92. COMPARISON of the MOST POPULAR OPEN-SOURCE GIS SOFTWARE in the FIELD of LANDS
AGD Landscape & Environment 6 (2) 2012. 76-92. COMPARISON OF THE MOST POPULAR OPEN-SOURCE GIS SOFTWARE IN THE FIELD OF LANDSCAPE ECOLOGY SZEMÁN ISTVÁN1 1University of Debrecen, Department of Landscape Protection and Environmental Geography, Debrecen, 4032, Egyetem tér 1. E-mail: [email protected] Received 2 March 2012; accepted in revised form 21 December 2012 Abstract GIS (Geographic Information System) software is a very useful tool in modern landscape ecology research. With its help data can be obtained which can - after processing - help to understand and demonstrate the processes taking place in the landscape. Since direct environmental measurements and sampling from a large area are, in many cases, difficult or even impossible, modelling with GIS tools is very important in the workflow of landscape research and landscape analysis. In this article we review the best known open source GIS systems and geographic information tools with possibilities for landscape ecology application. Furthermore we will introduce all the basic concepts that are associated with these open source software programmes. We provide a comparative analysis of the most widely used open source GIS applications, where, through a specific example, we will examine how these tools are used to produce basic landscape metric indicators. We will examine those functions of the programmes that are necessary to produce a complete thematic map, and finally we will emphasize various other important functions of the software to give adequate information for those users who choose open source code GIS tools, for financial reasons or otherwise, to complete a landscape ecology analysis. Our opinion is that this type of comparison is much more informative than those done by proprietary software, because these latter are all based on a basic data library, and therefore yield similar results (proj4, gdal/ogr, jts/geos, etc.) to their ‘paid’ competitors. -
System for Automated Geoscientific Analyses (SAGA) V. 2.1.4
Geosci. Model Dev., 8, 1991–2007, 2015 www.geosci-model-dev.net/8/1991/2015/ doi:10.5194/gmd-8-1991-2015 © Author(s) 2015. CC Attribution 3.0 License. System for Automated Geoscientific Analyses (SAGA) v. 2.1.4 O. Conrad1, B. Bechtel1, M. Bock1,2, H. Dietrich1, E. Fischer1, L. Gerlitz1, J. Wehberg1, V. Wichmann3,4, and J. Böhner1 1Institute of Geography, University of Hamburg, Bundesstr. 55, 20146 Hamburg, Germany 2scilands GmbH, Goetheallee 11, 37073 Göttingen, Germany 3LASERDATA GmbH, Technikerstr. 21a, 6020 Innsbruck, Austria 4alpS – Center for Climate Change Adaptation, Grabenweg 68, 6020 Innsbruck, Austria Correspondence to: B. Bechtel ([email protected]) Received: 12 December 2014 – Published in Geosci. Model Dev. Discuss.: 27 February 2015 Revised: 05 June 2015 – Accepted: 08 June 2015 – Published: 07 July 2015 Abstract. The System for Automated Geoscientific Analy- 1 Introduction ses (SAGA) is an open source geographic information sys- tem (GIS), mainly licensed under the GNU General Public License. Since its first release in 2004, SAGA has rapidly During the last 10 to 15 years, free and open source software developed from a specialized tool for digital terrain analy- (FOSS) became a recognized counterpart to commercial so- sis to a comprehensive and globally established GIS plat- lutions in the field of geographic information systems and form for scientific analysis and modeling. SAGA is coded science. Steiniger and Bocher (2009) give an overview of in C CC in an object oriented design and runs under sev- free and open source geographic information system (GIS) eral operating systems including Windows and Linux. -
Overview of GIS Applications Risk Assessment and Risk Management of Climate Change Hazards
Overview of GIS applications risk assessment and risk management of climate change hazards Fact irrigated lands Planed irrigated lands Watershed Water bodies Settlements River Soil types Overview of GIS applications risk assessment and risk management of climate change hazards © 2010 PREPARED The European Commission is funding the Collaborative project ‘PREPARED Enabling Change’ (PREPARED, project number 244232) within the context of the Seventh Framework Programme 'Environment'.All rights reserved. No part of this book may be reproduced, stored in a database or retrieval system, or published, in any form or in any way, electronically, mechanically, by print, photoprint, microfilm or any other means without prior written permission from the publisher COLOPHON Title Overview of GIS applications, risk assessment and risk management of climate change hazards Report number Prepared 2011.015 Deliverable number D2.5.1 Author(s) Ielizaveta Dunaieva (Crimean Scientific and Research Center) Victor Popovych (Crimean Scientific and Research Center) Elisa Traverso (Iren Acqua Gas) Quality Assurance Patrick Smeets (KWR Watercycle Research Institute) Document history Version Team member Status Date update Comments 01 Ielizaveta Dunaieva Draft 27-08-2010 Chapters 1-4, 6 02 Ielizaveta Dunaieva Draft 24-06-2011 Applications from cities Simferopol and Genoa added 03 Patrick Smeets Final 03-08-2011 QA by WA leader This report is: PU = Public Summary The first step to prepare for climate change effects on the water cycle is a risk assessment for the observed system to be prepared and, if it is necessary, protected. Risk assessment (RA) means the determination of qualitative and quantitative value of risks, related to a certain situation and the recognized hazards. -
Peter Petrik, Martin Dobias and Others
MDAL Peter Petrik, Martin Dobias and others Sep 22, 2021 CONTENTS 1 What is MDAL? 1 2 Download 3 2.1 Current Releases.............................................3 2.2 Past Releases...............................................3 2.3 Conda Installation............................................3 2.3.1 UPM Installation........................................3 2.4 Development Source...........................................4 3 Programs 5 3.1 MDAL programs.............................................5 3.1.1 mdalinfo.............................................5 3.1.1.1 Synopsis........................................5 3.1.1.2 Description......................................5 3.1.1.3 Example........................................5 4 MDAL drivers 7 4.1 GRIB – WMO General Regularly-distributed Information in Binary form...............8 4.2 NetCDF – Network Common Data Form................................8 4.3 2dm – SMS mesh format.........................................8 4.4 XDMF – eXtensible Data Model and Format..............................9 4.5 XMDF – eXtensible Model Data Format................................9 4.6 DAT – ASCII or Binary Dataset Files..................................9 4.7 SWW – NetCDF format for AnuGA................................... 10 4.8 HDF – HEC-RAS outputs format.................................... 10 4.9 3Di – NetCDF with Climate and Forecast (CF) metadata........................ 10 4.10 PLY – ASCII Stanford Polygon Format................................. 11 4.11 UGRID – NetCDF with Climate and Forecast (CF) -
Ilwis Manual
Ilwis manual click here to download The ILWIS User's Guide is intended for those who want to know how ILWIS is used in basic GIS and Image Processing operations. It trains the skills you. The User's Guide demonstrates the basic ILWIS concepts and the ILWIS user-interface, trains you in the analysis of spatial data and attribute data, teaches you. The ILWIS Applications Guide ( pp.) contains 25 discipline-oriented case studies. The case studies show advanced procedures to work with ILWIS and. ILWIS was released in June with a completely updated User's Guide. For the release of ILWIS however, there is no new User's Guide. Since the. In addition, ILWIS has new visualization functionality and a Visualization Reference Document. The ILWIS User's Guide is intended for those who want to. This ILWIS User's Guide has been rewritten and extended by Raymond Nijmeijer The ILWIS software is designed by Wim Koolhoven and Jelle Wind. LEARN ILWIS AND TEACH OTHERS IN ONE DAY ILWIS PRACTICAL MANUAL This Practical Manual Covers Just Onidex Geo-Spatial. Title, {ILWIS Academic user's guide}. Publication Type, Book. Year of Publication, Authors, Unit Geo Software Development. Number. We have special e-mail addresses for various ILWIS related subjects: This ILWIS User's Guide has been rewritten and extended by Raymond Nijmeijer. Introduction to ILWIS. Source: Cees van Westen. Associated Institute of the ILWIS Applications Guide Advanced procedures to work with ILWIS, providing case. Today I'll start with a new series of tutorials for an open Source GIS called “ILWIS GIS“. -
Open Source GIS Software Options for Forestry Education in Papua New Guinea
Open Journal of Ecology, 2014, 4, 234-243 Published Online March 2014 in SciRes. http://www.scirp.org/journal/oje http://dx.doi.org/10.4236/oje.2014.44022 Open Source GIS Software Options for Forestry Education in Papua New Guinea David Lopez Cornelio Department of Forestry, PNG University of Technology, PMB, Lae, Papua New Guinea Email: [email protected] Received 6 November 2014; revised 9 December 2014; accepted 25 December 2013 Copyright © 2014 by author and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/ Abstract Although open source softwares (OSS) for GIS and Remote Sensing are rapidly expanding and im- proving in the global context, there has been uncertainty at higher education institutions in de- veloping countries, such as the department of forestry (Dfo) at Unitech, Papua New Guinea (PNG), regarding appropriate GIS softwares and hardware to acquire and use for teaching and research purposes. The paper briefly describes the characteristics of some mature OSS and discusses their main capabilities, advantages and disadvantages. Their adoption in the Dfo curricula may be ad- vantageous in the long term, considering issues of learning curve steepness, versatibility, afforda- bility, effectiveness, and documentation available on them. Keywords Open Source Software; GIS Software; Forestry Education 1. Introduction GIS is a key technology for developing countries in domains such as environmental protection, urban manage- ment, agricultural production, deforestation mapping, public health assessment, and socioeconomic measure- ments. It is defined as a system of software components that maintain a spatially aware database, provides ana- lytical tools that enable spatial queries of the database, allows the association of locations with imported graphi- cal data, and provides graphical and tabular output. -
A Selection of Software for Processing Geospatial Data Is Presented in Table 1.1 and Table 1.2. Note That You May Need Some Time
A selection of software for processing geospatial data is presented in Table 1.1 and Table 1.2. Note that you may need some time to find the best software for a specific task or project. Terminology: Freeware: Freeware (a combination of the words "free" and "software") is software that is available for use at no cost or fee, but usually with one or more restricted usage rights. Compared the FOSS (see below) the source code is usually not published and hence the software can’t be modified and adjusted by 3rd parties. FOSS: Free and open-source software (F/OSS, FOSS) or free/libre/open-source software (FLOSS) is software that is both: 1) free software and 2) open source. It is licensed in the way that users are granted the right to use, copy, study, change, and improve its design through the availability of its source code. Free GIS software Description Terra MA2 (old SISM DEN) is a software product, a computational system, based on a Service Oriented Architecture (SOA), which provides the technological infrastructure required to develop operational systems for environmental risks monitoring and alert. TerraMA2 provides services to gather updated data through internet and to add it to the alert system database; services to manipulate/analyze new data in real time and check Terra MA2 if a risk situation exists by comparing with risk maps or a defined model; Monitoring, Analysis and Alert services to execute/edit/create new risk and alert models; services to create www.dpi.inpe.br/terrama2/ and notify alerts to system users; and other basic and advanced services. -
Species Distribution Modelling and Open Source GIS: Why Are They Still So Loosely Connected?
International Environmental Modelling and Software Society (iEMSs) 2012 International Congress on Environmental Modelling and Software Managing Resources of a Limited Planet, Sixth Biennial Meeting, Leipzig, Germany R. Seppelt, A.A. Voinov, S. Lange, D. Bankamp (Eds.) http://www.iemss.org/society/index.php/iemss-2012-proceedings Species distribution modelling and open source GIS: why are they still so loosely connected? Anne Ghisla a, Duccio Rocchinia, Markus Netelera, Michael Forster¨ b, Birgit Kleinschmitb aFondazione Edmund Mach, Research and Innovation Centre, Department of Biodiversity and Molecular Ecology, GIS and Remote Sensing Unit, Via E. Mach 1, 38010, S. Michele all’Adige (TN), Italy ([email protected], [email protected], [email protected]) b Technische Universitat¨ Berlin - Fakultat¨ VI, Institut fur¨ Landschaftsarchitektur und Umweltplanung, Fachgebiet Geoinformation in der Umweltplanung, Sekr. EB 5 - Raum 235a, Straße des 17. Juni 145 , D-10623 Berlin ([email protected], [email protected]) Abstract: Species Distribution Models (SDMs) are correlative models that use envi- ronmental and/or geographical information to explain patterns of species occurrences. Those models are being used in various fields including climate change, invasive species research, evolutionary biology and epidemiology. Thanks to the availability of increasing computational resources, new methods continue to be developed. However, software packages that include the SDM algorithms usually focus on one or few methods, and have different degrees of integration with other geographical and statistical software. Specifically, SDM implementations are often standalone programs developed by univer- sity laboratories, either as extensions to statistical software. In few cases they are written as extensions for the most common proprietary Geographic Information System (GIS) products, despite the strong geographical component present in the data. -
Open Access Geospatial Data Tuesday, Oct
Open Access Geospatial Data Tuesday, Oct. 25, 2016 Hannah Hamalainen Geospatial & Earth Sciences Librarian Geospatial Services Center Using Open Access Data to Make Maps is Easy Open Open source source Free Geospatial GIS Map Data software Let’s review some concepts Open Access FOSS Open Database OA removes price barriers Free and Open Source License (ODbL) (subscriptions, licensing Software which is freely Copyleft ("Share Alike") fees, pay-per-view fees) and licensed to use, copy, study, license agreement intended permission or use barriers and change the software in to allow users to freely (most copyright and any way, and the source share, modify, and use a licensing restrictions). code is openly shared. database Open Data Closed Source Open Science Open data is data that can Open source refers to is the movement to make be freely used, re-used and exclusively to software -- the scientific research, data and redistributed by anyone - source code for that software dissemination accessible to subject only, at most, to the is openly available, thus all levels of an inquiring requirement to attribute allowing for modification, and society, amateur or and sharealike. may be redistributed freely. professional. OGC The Open Geospatial Consortium, Inc (OGC) is an international industry consortium of over 387 companies, government agencies and universities participating in a consensus process to opengeospatial.org develop publicly available interface standards. Both proprietary and open source software can be compliant with OGC Open Standards OSGEO OSGEO (Open Source Geospatial Foundation) osgeo.org organization that supports development of open source software Free and Open Source Software (FOSS) QGIS ▧ AKA Quantum GIS ▧ The go-to free and open source program for geospatial analysis. -
RQGIS: Integrating R with QGIS for Statistical Geocomputing by Jannes Muenchow, Patrick Schratz, Alexander Brenning
CONTRIBUTED RESEARCH ARTICLE 409 RQGIS: Integrating R with QGIS for Statistical Geocomputing by Jannes Muenchow, Patrick Schratz, Alexander Brenning Abstract Integrating R with Geographic Information Systems (GIS) extends R’s statistical capabilities with numerous geoprocessing and data handling tools available in a GIS. QGIS is one of the most popular open-source GIS, and it furthermore integrates other GIS programs such as the System for Automated Geoscientific Analyses (SAGA) GIS and the Geographic Resources Analysis Support System (GRASS) GIS within a single software environment. This and its QGIS Python API makes it a perfect candidate for console-based geoprocessing. By establishing an interface, the R package RQGIS makes it possible to use QGIS as a geoprocessing workhorse from within R. Compared to other packages building a bridge to GIS (e.g., rgrass7, RSAGA, RPyGeo), RQGIS offers a wider range of geoalgorithms, and is often easier to use due to various convenience functions. Finally, RQGIS supports the seamless integration of Python code using reticulate from within R for improved extendability. Introduction Defining a GIS as a system for the analysis, manipulation and visualization of geographical data (Longley et al., 2011), one could argue that R has become a GIS (Bivand et al., 2013). In great part this is thanks to packages that provide spatial classes and algorithms coded in and for R (despite this these packages might also link to other software outside of R). These include maptools (Bivand and Lewin-Koh, 2017), raster (Hijmans, 2017), sp (Bivand et al., 2013) and sf (Pebesma, 2017). Further packages even extend R’s GIS capabilities through advanced mapping, e.g., mapview (Appelhans et al., 2017) and mapmisc (Brown, 2016), and routing, e.g., osmar (Eugster and Schlesinger, 2013) and dodgr (Padgham and Peutschnig, 2017), among others.