Assessmentof Open Source GIS Software for Water Resources
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Workshop GRASS GIS and RDBMS
Workshop W-11 GRASS GIS and RDBMS Workshop GRASS GIS and RDBMS by Marco Ciolli, Paolo Zatelli and Clara Tattoni Department of Civil and Environmental Engineering University of Trento Italy FOSS4G2007 Victoria, Canada 24-27 September 2007 Workshop W-11 GRASS GIS and RDBMS GGIISS aanndd DDBBMMSS GISs can manage all the features of geographic information: geometry, topology and attributes. Sometimes it is more efficient to manage some or all of these features with an external Data Base Management System (DBMS). A DBMS can manage the attributes, a DBMS with spatial extension can manage the geometry as well. It is possible to use different DBMS, databases and configurations for different maps in the same dataset or for different layers of the same map. FOSS4G2007 Victoria, Canada 24-27 September 2007 2 Workshop W-11 GRASS GIS and RDBMS GGRRAASSSS,, QQGGIISS aanndd DDBBMMSS GRASS and QGIS can read all formats supported by the OGR library, that is data from the more used DBMS If using OGR Library with GRASS, data can be: – imported (GRASS native format) – linked as read-only external data with pseudotopology (v.external) FOSS4G2007 Victoria, Canada 24-27 September 2007 3 Workshop W-11 GRASS GIS and RDBMS QQGGIISS aanndd DDBBMMSS QGIS can access directly PostgreSQL/PostGIS data both attributes and geometry. In order to use a PostgreSQL/PostGIS layer in QGIS, it must be present a key column of int4. This layer processing speed can be enhanced by indexing that column (if it is a PostgreSQL primary key it is indexed by default). If a view is used, it must contain a type int4 column or a primary key, possibly indexed. -
Gvsig a Real Tool for GIS Technicians
Arnulf Christl OSGeo President OSGeo Spatially Empowered Open Source Geospatial World Forum 2011 – Hyderabad, India Agenda Free Software Licenses FS Open Source Methodology OS What is OSGeo? FOSS4G Vision and Mission How it works: Formal Structures Local Chapters, Conferences & Fairs OSGeo Live This presentation is available as editable ODP (2.4MB) and PDF (1.1MB) GWF 2011 – Hyderabad, India OSGeo - Spatially Empowered Open Source 2/35 Proprietary Licensing You are not allowed to copy You are not allowed to modify You are not allowed to give away You are not allowed to improve You are not allowed to install You are not allowed to share You are not allowed to... ...today the revival is in the Terms of Services! GWF 2011 – Hyderabad, India OSGeo - Spatially Empowered Open Source 3/35 Free Software Licensing Free Software Licensing Not as in "free beer" but as in free speech You are free to: use it anywhere for any purpose understand and improve it pass it on to anybody else make money by providing training, maintenance and services GWF 2011 – Hyderabad, India OSGeo - Spatially Empowered Open Source 4/35 Free Software Licensing Free Software Licensing Not as in "free beer" but as in free speech You are free to: dd!! use it anywhere for anye purpose teee understand andnn improvet it aa pass it onaa torr anybody else make moneyuu by providing training,GG maintenance and services GWF 2011 – Hyderabad, India OSGeo - Spatially Empowered Open Source 5/35 Free Software Licensing Free Software is a legal licensing model that protects your interests. The opposite is proprietary (or closed) software. -
Implementing OGC Web Map Service Client Applications Using JSP, JSTL and XMLC
Implementing OGC Web Map Service Client Applications Using JSP, JSTL and XMLC Hao Ding , Richard Pascoe & Neville Churcher Department of Computer Science University of Canterbury. Christchurch, New Zealand Phone: +64 3 364-2362 Fax: +64 3 364-2569 Email: [email protected] , {richard, neville}@cosc.canterbury.ac.nz Presented at SIRC 2002 – The 14th Annual Colloquium of the Spatial Information Research Centre University of Otago, Dunedin, New Zealand th December 3-5 2002 ABSTRACT Java technologies are widely used in web application development. In this paper are described three approaches to developing Java-based web applications and our experiences with applying each to the development of client that interact with servers implementing the OGC (Open GIS Consortium) Web Map Service (WMS) specification. Also described is the installation and configuration of open source software that implements the WMS specification. The paper is concluded with some preliminary insights into when one of the three approaches to WMS client implementation is more suited to another. Keywords and phrases: WMS, JSP, JSTL, XMLC, map layer, web map server 1.0 INTRODUCTION Of the many technologies, such as Common Gateway Interface (CGI), Active Server Pages (ASP), JavaServer Pages (JSP), that are used to develop web applications, three are of particular interest to the research presented here. These three technologies or approaches to developing clients that utilise web services are JavaServer Pages (JSP), JSP with the use of tags from the JSP Standard Tag Library (JSTL), and the eXtensible Markup Language Compiler (XMLC). JSP is a more convenient way to write Java servlets, and allows the insertion of Java code directly into static HTML (Hypertext Markup Language) pages. -
Free and Open Source GIS in South America: Political Inroads and Local Advocacy
Central Washington University ScholarWorks@CWU All Faculty Scholarship for the College of the Sciences College of the Sciences 9-2019 Free and open source GIS in South America: political inroads and local advocacy Sterling Quinn Central Washington University Follow this and additional works at: https://digitalcommons.cwu.edu/cotsfac Part of the Geographic Information Sciences Commons Recommended Citation Quinn, S. (2019). Free and open source GIS in South America: political inroads and local advocacy. International Journal of Geographical Information Science, 34(3), 464–483. https://doi.org/10.1080/ 13658816.2019.1665672 This Article is brought to you for free and open access by the College of the Sciences at ScholarWorks@CWU. It has been accepted for inclusion in All Faculty Scholarship for the College of the Sciences by an authorized administrator of ScholarWorks@CWU. For more information, please contact [email protected]. The following is the author’s accepted edition of the article. The Version of Record of this manuscript was published in the International Journal of Geographical Information Science in September 2019 and is available at https://www.tandfonline.com/doi/full/10.1080/13658816.2019.1665672 Free and open source GIS in South America: political inroads and local advocacy Sterling Quinn Department of Geography -- Central Washington University [email protected] Geographical information systems (GIS) practitioners worldwide enjoy a growing array of free and open source software (FOSS) options. This software has expanded the accessibility of GIS in economically developing countries while fostering local technical expertise. This article reviews FOSS GIS uptake and advocacy in South America, especially how it relates to a climate of political friendliness toward FOSS in the region. -
Pyqgis Developer Cookbook Release 2.18
PyQGIS developer cookbook Release 2.18 QGIS Project April 08, 2019 Contents 1 Introduction 1 1.1 Run Python code when QGIS starts.................................1 1.2 Python Console............................................2 1.3 Python Plugins............................................3 1.4 Python Applications.........................................3 2 Loading Projects 7 3 Loading Layers 9 3.1 Vector Layers.............................................9 3.2 Raster Layers............................................. 11 3.3 Map Layer Registry......................................... 11 4 Using Raster Layers 13 4.1 Layer Details............................................. 13 4.2 Renderer............................................... 13 4.3 Refreshing Layers.......................................... 15 4.4 Query Values............................................. 15 5 Using Vector Layers 17 5.1 Retrieving information about attributes............................... 17 5.2 Selecting features........................................... 18 5.3 Iterating over Vector Layer...................................... 18 5.4 Modifying Vector Layers....................................... 20 5.5 Modifying Vector Layers with an Editing Buffer.......................... 22 5.6 Using Spatial Index......................................... 23 5.7 Writing Vector Layers........................................ 23 5.8 Memory Provider........................................... 24 5.9 Appearance (Symbology) of Vector Layers............................. 26 5.10 Further -
Development of a Web Mapping Application Using Open Source
Centre National de l’énergie des sciences et techniques nucléaires (CNESTEN-Morocco) Implementation of information system to respond to a nuclear emergency affecting agriculture and food products - Case of Morocco Anis Zouagui1, A. Laissaoui1, M. Benmansour1, H. Hajji2, M. Zaryah1, H. Ghazlane1, F.Z. Cherkaoui3, M. Bounsir3, M.H. Lamarani3, T. El Khoukhi1, N. Amechmachi1, A. Benkdad1 1 Centre National de l’Énergie, des Sciences et des Techniques Nucléaires (CNESTEN), Morocco ; [email protected], 2 Institut Agronomique et Vétérinaire Hassan II (IAV), Morocco, 3 Office Régional de la Mise en Valeur Agricole du Gharb (ORMVAG), Morocco. INTERNATIONAL EXPERTS’ MEETING ON ASSESSMENT AND PROGNOSIS IN RESPONSE TO A NUCLEAR OR RADIOLOGICAL EMERGENCY (CN-256) IAEA Headquarters Vienna, Austria 20–24 April 2015 Context In nuclear disaster affecting agriculture, there is a need for rapid, reliable and practical tools and techniques to assess any release of radioactivity The research of hazards illustrates how geographic information is being integrated into solutions and the important role the Web now plays in communication and disseminating information to the public for mitigation, management, and recovery from a disaster. 2 Context Basically GIS is used to provide user with spatial information. In the case of the traditional GIS, these types of information are within the system or group of systems. Hence, this disadvantage of traditional GIS led to develop a solution of integrating GIS and Internet, which is called Web-GIS. 3 Project Goal CRP1.50.15: “ Response to Nuclear Emergency affecting Food and Agriculture” The specific objective of our contribution is to design a prototype of web based mapping application that should be able to: 1. -
Building a Spatial Database in Postgresql
Building a Spatial Database in PostgreSQL David Blasby Refractions Research [email protected] http://postgis.refractions.net Introduction • PostGIS is a spatial extension for PostgreSQL • PostGIS aims to be an “OpenGIS Simple Features for SQL” compliant spatial database • I am the principal developer Topics of Discussion • Spatial data and spatial databases • Adding spatial extensions to PostgreSQL • OpenGIS and standards Why PostGIS? • There aren’t any good open source spatial databases available • commercial ones are very expensive • Aren’t any open source spatial functions • extremely difficult to properly code • building block for any spatial project • Enable information to be organized, visualized, and analyzed like never before What is a Spatial Database? Database that: • Stores spatial objects • Manipulates spatial objects just like other objects in the database What is Spatial data? • Data which describes either location or shape e.g.House or Fire Hydrant location Roads, Rivers, Pipelines, Power lines Forests, Parks, Municipalities, Lakes What is Spatial data? • In the abstract, reductionist view of the computer, these entities are represented as Points, Lines, and Polygons. Roads are represented as Lines Mail Boxes are represented as Points Topic Three Land Use Classifications are represented as Polygons Topic Three Combination of all the previous data Spatial Relationships • Not just interested in location, also interested in “Relationships” between objects that are very hard to model outside the spatial domain. • The most -
Remotely Execute GRASS GIS Scripts on Your Server
g.remote Remotely execute GRASS GIS scripts on your server Vaclav Petras Center for Geospatial Analytics OSGeo Research and Education Laboratory North Carolina State University May 7, 2015 cba GRASS GIS: g.remote NCSU Center for Geospatial Analytics 1 / 12 Server for everybody there are servers, HPC clusters, clouds lying around once somebody set it up, it’s easy to get to it if you know what ssh -X means and you also want to work locally in the same environment GRASS GIS: g.remote NCSU Center for Geospatial Analytics 2 / 12 Tangible Landscape currently locked to MS Windows desktop needs powerful processing backend for larger simulations pure in-cloud or client-server with WPS would be overkill GRASS GIS: g.remote NCSU Center for Geospatial Analytics 3 / 12 g.remote developed for hybrid desktop-server workflow tests of processing or part of processing locally store and process the big data on a server synchronous processing easily to integrate into scripts GRASS GIS: g.remote NCSU Center for Geospatial Analytics 4 / 12 Usage Basic call in command line g.remote user=john server=example.com \ grassdata=/grassdata \ location=nc_spm mapset=practice1 \ grass_script=/path/to/script.py data are stored on the server Python script is local and transferred to the server GRASS GIS: g.remote NCSU Center for Geospatial Analytics 5 / 12 Usage Addition of inputs and outputs g.remote ... \ raster=elevation \ output_raster=waterflow data are transfered to and from the server GRASS GIS: g.remote NCSU Center for Geospatial Analytics 6 / 12 Usage GRASS GIS: g.remote NCSU Center for Geospatial Analytics 7 / 12 Architecture Three layers connection to server (class) Paramiko ssh + scp (OpenSSH Client) can accommodate web-based applications or local programs GRASS session (class) runs GRASS modules, scripts and Python code inside GRASS session using the connection transports GRASS data (maps, region, . -
Praxishandbuch Webgis Mit Freier Software UMN Mapserver
Praxishandbuch WebGIS mit Freier Software Praxishandbuch WebGIS mit Freier Software UMN MapServer PostgreSQL/PostGIS AveiN! Mapbender Ein Gemeinschaftsprojekt von CCGIS und terrestris CCGIS GbR terrestris GbR www.ccgis.de www.terrestris.de Nutzungsbedingungen Dieser Text ist urheberrechtlich geschützt und wird hier unter der GNU Free Documentation License (http://www.gnu.org/licenses/fdl.html) freigegeben, d.h. die Texte dürfen kopiert und weiterverteilt werden. D.h. auch, dass u.a. auf die Free Documentation Licence hingewiesen werden muss. Änderungsvorschläge, Kritik und Reaktionen sind willkommen. Kontakt: [email protected] CCGIS terrestris www.ccgis.de www.terrestris.de [email protected] [email protected] 1 Praxishandbuch WebGIS mit Freier Software Inhaltsverzeichnis VORWORT...................................................................................................... 9 EINLEITUNG................................................................................................. 10 1. Begrifflichkeiten....................................................................................... 10 1.1. Open Source.......................................................................................................... 11 1.2. Freie Software....................................................................................................... 11 1.3. Open Source / Freie Software.............................................................................. 12 2. Übernahme von OS/FS Konzepten duch die Nutzer.............................12 -
Mapbender Workshop FOSS4G 2010 Barcelona
Mapbender 3 - where are we going? Astrid Emde FOSS4G Denver 2011 Astrid Emde Mapbender Developer Team since 2004 PSC (Project Steering Commitee) Works at WhereGroup, Bonn Project management and a bit of development Trainings for MapServer, PostgreSQL/PostGIS, Mapbender, GeoServer Works with the OSGeo stack for many years Active member in FOSSGIS e.V. and OSGeo Mapbender 3 – where are we going? – FOSS4G 2011 Denver Astrid Emde 2 / 49 WhereGroup Major Mapbender sponsor Company in Bonn, Germany Founded in january 2007 as merger of CCGIS, KARTA.GO GmbH and Geo-Consortium 17 employees Mapbender 3 – where are we going? – FOSS4G 2011 Denver Astrid Emde 3 / 49 WhereGroup Service provider with experience in all field of spatial data management with free software: WebGIS, SDI, database , relevant standards, trainings, conferences Founding member of the FOSS Academy Open Source projects: Mapbender, PostNAS Mapbender 3 – where are we going? – FOSS4G 2011 Denver Astrid Emde 4 / 49 Mapbender ± where are we going? The concept of Mapbender Evaluation for Mapbender3 What we chose The components Getting started Demo Mapbender 3 – where are we going? – FOSS4G 2011 Denver Astrid Emde 5 / 49 What does Mapbender do? Create geospatial web applications without writing a single line of code Create and maintain an OWS repository (focus on WMS, WFS) Distribute configured services among applications Grant users and groups access to applications and services → This is what Mapbender 2.x (2.7.2 actual version) stands for Mapbender 3 – where are we going? – FOSS4G -
QGIS Server 3.16 User Guide
QGIS Server 3.16 User Guide QGIS Project Sep 29, 2021 CONTENTS 1 Introduction 1 2 Getting Started 3 2.1 Installation on Debian-based systems ................................. 3 2.1.1 Apache HTTP Server .................................... 4 2.1.2 NGINX HTTP Server .................................... 6 2.1.3 Xvfb ............................................. 10 2.2 Installation on Windows ....................................... 11 2.3 Serve a project ............................................ 14 2.4 Configure your project ........................................ 15 2.4.1 WMS capabilities ...................................... 16 2.4.2 WFS capabilities ...................................... 17 2.4.3 WCS capabilities ...................................... 17 2.4.4 Fine tuning your OWS ................................... 17 2.5 Integration with third parties ..................................... 17 2.5.1 Integration with QGIS Desktop ............................... 17 2.5.2 Integration with MapProxy ................................. 17 2.5.3 Integration with QWC2 ................................... 18 3 Services 19 3.1 Web Map Service (WMS) ...................................... 19 3.1.1 GetMap ........................................... 20 3.1.2 GetFeatureInfo ....................................... 27 3.1.3 GetPrint ........................................... 30 3.1.4 GetLegendGraphics ..................................... 32 3.1.5 GetProjectSettings ...................................... 33 3.2 Web Feature Service (WFS) .................................... -
The Use of GIS and Remote Sensing for Environment Statistics Contents
UNITED NATIONS STATISTICS DIVISION (UNSD) Workshop on Environment Statistics in support of the implementation of the Framework for the Development of Environment Statistics, Arusha, Tanzania, 6-10 July 2015 The use of GIS and remote sensing for environment statistics Contents • Temporal and spatial considerations • GIS data • Geospatial information • Data collections • Remote sensing • GIS Tools • Demos Temporal and spatial considerations • From FDES 2013 – Environment statistics require the simultaneous consideration of a number of temporal and spatial issues. – Important to align the temporal aggregations of environmental data with those used in economic and social statistics to ensure their proper integration, often a uniform calendar or fiscal year do not fit the diversity of natural phenomena; – therefore the use of different time scales, longer or shorter time periods is also necessary for the aggregation of environmental data over time. Spatial and Temporal • Spatial - Anything/event that occur in space has a spatial dimension – e.g environmental phenomena like air pollution, biodiversity conservation… • Temporal – anything/event relating to or limited by time, e.g disasters in 2014, hourly PM10 concentration at a specific site… Temporal and spatial considerations • For example, in fluid environmental phenomena, the temporal dimension is needed since there can be ebbs and flows, droughts and floods, snow and runoffs which all influence measurements. • Sometimes daily variations and at other times seasonal variations depending on what is being measured. Seasonal variations can be seen in the fluctuations in certain types of fish biomass, surface water levels, ice cap surface or the incidence of fires – monitoring focused more during some months • Temporal statistics often point out the maximum, the minimum and/or other ways of describing the relevant phenomenon and its levels below or above certain benchmarks, and are not restricted to a sum or an average over a longer period.