Markus Neteler presented on GRASS GIS and Sextante at the Quarte Giornate Italiane di gvSIG conference in Udine, Italy. He discussed how Sextante integrates algorithms from GRASS GIS and other sources and can be used as an extension in open source Java GIS applications. He also provided an overview of GRASS GIS functionality for geospatial analysis, modeling, and visualization and demonstrated some examples including lidar data analysis, viewshed modeling, and reconstructing land surface temperature (LST) from satellite data.
GRASS GIS 7 capabilities: a graphical overviewMarkus Neteler
The Geographic Resources Analysis Support System (http://grass.osgeo.org/), commonly referred to as GRASS GIS, is an Open Source Geographic Information System providing powerful raster, vector and geospatial processing capabilities in a single integrated software suite. GRASS GIS includes tools for spatial modeling, visualization of raster and vector data, management and analysis of geospatial data, and the processing of satellite and aerial imagery. It also provides the capability to produce sophisticated presentation graphics and hardcopy maps. GRASS GIS has been translated into about twenty languages and supports a huge array of data formats. It can be used either as a stand-alone application or as backend for other software packages such as QGIS and R geostatistics. It is distributed freely under the terms of the GNU General Public License (GPL). GRASS GIS is a founding member of the Open Source Geospatial Foundation (OSGeo).
News in GRASS GIS7. Plenary talk at FOSS4G-CEE 2013, RomaniaMarkus Neteler
GRASS GIS, commonly referred to as GRASS (Geographic Resources Analysis Support System), is the free Geographic Information System (GIS) software with the longest record of development as FOSS4G community project. The increasing demand for a robust and modern analytical free GIS led to the start of GRASS GIS 7 development in April 2008. Since GRASS 6 more than 10,000 changes have been implemented with a series of new modules for vector network analysis, image processing, voxel analysis, time series management and improved graphical user interface (http://trac.osgeo.org/grass/wiki/Grass7/NewFeatures). The core system offers a new Python API and large file support for massive data analysis. Many modules have been undergone major optimization also in terms of speed. The presentation will highlight the advantages for users to migrate to the upcoming GRASS GIS 7 release.
GRASS GIS 7: your reliable geospatial number cruncherMarkus Neteler
GRASS GIS (Geographic Resources Analysis Support System) looks back to the longest development history in the FOSS4G community. Having been available for 30 years, a lot of innovation has been put into the new GRASS GIS 7 release. After six years of development it offers a lot of new functionality, e.g. enhanced vector network analysis, voxel processing, a completely new engine for massive time series management, an animation tool for raster and vector map time series, a new graphic image classification tool, a "map swiper" for interactive maps comparison, and major improvements for massive data analysis (see also http://grass.osgeo.org/grass7/). The development was driven by the rapidly increasing demand for robust and modern free analysis tools, especially in terms of massive spatial data processing and processing on high-performance computing systems. With respect to GRASS GIS 6.4 more than 10,000 source code changes have since been made.
Community based software development: The GRASS GIS projectMarkus Neteler
The document summarizes the GRASS GIS open source project. It discusses the project's objectives of developing free GIS software and algorithms. It describes the international development team and communication structures used, including mailing lists, wikis and bug trackers. Legal aspects of code contributions and licensing are also briefly covered.
Markus Neteler presented on GRASS GIS and Sextante at the Quarte Giornate Italiane di gvSIG conference in Udine, Italy. He discussed how Sextante integrates algorithms from GRASS GIS and other sources and can be used as an extension in open source Java GIS applications. He also provided an overview of GRASS GIS functionality for geospatial analysis, modeling, and visualization and demonstrated some examples including lidar data analysis, viewshed modeling, and reconstructing land surface temperature (LST) from satellite data.
GRASS GIS 7 capabilities: a graphical overviewMarkus Neteler
The Geographic Resources Analysis Support System (http://grass.osgeo.org/), commonly referred to as GRASS GIS, is an Open Source Geographic Information System providing powerful raster, vector and geospatial processing capabilities in a single integrated software suite. GRASS GIS includes tools for spatial modeling, visualization of raster and vector data, management and analysis of geospatial data, and the processing of satellite and aerial imagery. It also provides the capability to produce sophisticated presentation graphics and hardcopy maps. GRASS GIS has been translated into about twenty languages and supports a huge array of data formats. It can be used either as a stand-alone application or as backend for other software packages such as QGIS and R geostatistics. It is distributed freely under the terms of the GNU General Public License (GPL). GRASS GIS is a founding member of the Open Source Geospatial Foundation (OSGeo).
News in GRASS GIS7. Plenary talk at FOSS4G-CEE 2013, RomaniaMarkus Neteler
GRASS GIS, commonly referred to as GRASS (Geographic Resources Analysis Support System), is the free Geographic Information System (GIS) software with the longest record of development as FOSS4G community project. The increasing demand for a robust and modern analytical free GIS led to the start of GRASS GIS 7 development in April 2008. Since GRASS 6 more than 10,000 changes have been implemented with a series of new modules for vector network analysis, image processing, voxel analysis, time series management and improved graphical user interface (http://trac.osgeo.org/grass/wiki/Grass7/NewFeatures). The core system offers a new Python API and large file support for massive data analysis. Many modules have been undergone major optimization also in terms of speed. The presentation will highlight the advantages for users to migrate to the upcoming GRASS GIS 7 release.
GRASS GIS 7: your reliable geospatial number cruncherMarkus Neteler
GRASS GIS (Geographic Resources Analysis Support System) looks back to the longest development history in the FOSS4G community. Having been available for 30 years, a lot of innovation has been put into the new GRASS GIS 7 release. After six years of development it offers a lot of new functionality, e.g. enhanced vector network analysis, voxel processing, a completely new engine for massive time series management, an animation tool for raster and vector map time series, a new graphic image classification tool, a "map swiper" for interactive maps comparison, and major improvements for massive data analysis (see also http://grass.osgeo.org/grass7/). The development was driven by the rapidly increasing demand for robust and modern free analysis tools, especially in terms of massive spatial data processing and processing on high-performance computing systems. With respect to GRASS GIS 6.4 more than 10,000 source code changes have since been made.
Community based software development: The GRASS GIS projectMarkus Neteler
The document summarizes the GRASS GIS open source project. It discusses the project's objectives of developing free GIS software and algorithms. It describes the international development team and communication structures used, including mailing lists, wikis and bug trackers. Legal aspects of code contributions and licensing are also briefly covered.
This document provides an overview of trends in web mapping, geoprocessing, and services from the perspective of an Italian small-to-medium enterprise (SME) focused on open source technologies. It discusses challenges like big data, open data, crowdsourcing, the internet of things (IoT), drones, mobile technologies, cloud computing, 3D, and the need for interoperability. The SME works with clients in industries like construction, real estate, smart cities, and defense providing support and customization of open source tools like GeoServer, GeoNetwork, and MapStore.
Tracking emerging diseases from space: Geoinformatics for human healthMarkus Neteler
European and other countries are at increasing risk for new or re-emerging vector-borne diseases. Among the top ten vector-borne diseases with greatest potential to affect European citizens are Dengue fever, Chikungunya, Hantavirus, and Crimean-Congo hemorrhagic fever. Despite the risk of disease transmission, many vectors like the Asian tiger mosquito or ticks are also a nuisance in daily life. The examination of disease vector spread and a better understanding of spatio-temporal patterns in disease transmission and diffusion is greatly facilitated by Geoinformatics. New methods including the use of high resolution time series from space in spatial models enable us to predict species invasion and survival, and to assess potential health risks. Geoinformatics is able to address the increasing challenge for human and veterinary public health not only in Europe, but across the globe, assisting decision makers and public health authorities to develop surveillance plans and vector control.
This presentation provides an overview of GRASS (Geographic Resources Analysis Support System). It discusses that GRASS is open source GIS software for geospatial data management and analysis, with over 350 tools. It has been in development since 1984 and supports raster, vector, image processing, and spatial modeling functions. The presentation also outlines some of GRASS' key features like its GUI, support for different data formats, interoperability with other systems, and examples of practical usage.
Interoperability and Standards for Disaster Risk ManagementLuis Bermudez
Presentation at the Strengthening Disaster Risk Reduction across the Americas: A Regional Summit on the Contribution of Earth Observations - https://disasters.nasa.gov/argentina-summit-2017
The document provides an overview of Free and Open Source Software for Geoinformation (FOSS4G). It discusses topics like web mapping, global land coverage, open data quality, and citizen science. It describes the UN OpenGIS experiment and the Geoinformatics Engineering MSc program at Politecnico di Milano. It also gives an overview of the Future Earth initiative, the Digital Earth concept, and how geospatial data and services are provided via the web. FOSS4G and initiatives like OSGeo and GeoForAll that support the development and use of open source geospatial software are also summarized.
The document discusses the relationship between the Open Geospatial Consortium (OGC) and the Group on Earth Observations (GEO)/Global Earth Observation System of Systems (GEOSS). It provides an overview of the OGC, its standards and members. It also describes the Architecture Implementation Pilot, which develops and deploys new infrastructure components for GEOSS using OGC standards to improve data sharing and interoperability. The OGC supports GEO initiatives like the Appathon to encourage use of GEOSS and provide feedback to further standards development.
What does a Platform mean nowadays?
▪ A lever of Web and Cloud technologies
▪ A business model for value co-creation
▪ A framework to bring innovation to new or larger communities
Advancing open source geospatial software for the do d ic edward pickle openg...Joshua L. Davis
The document discusses OpenGeo, an open source geospatial software company. It summarizes OpenGeo's products and services, including the OpenGeo Suite which bundles several open source geospatial projects. It also discusses how OpenGeo software is being used by organizations for mapping, visualization, and publishing geospatial data.
The NextGEOSS project, a European contribution to GEOSS (Global Earth Observation System of Systems), proposes to develop the next generation data hub for Earth Observations, where the users can connect to access data and deploy data-driven applications.
This document summarizes Jo Cook's presentation on open source geospatial software and the OSGeo Foundation. It discusses Oxford Archaeology's use of open source software and open standards to fulfill requirements of preserving archaeological data in perpetuity. Key points include:
1) Oxford Archaeology has adopted an "open ethos" using open access to data, open standards, and open source software like QGIS, GeoServer, and PostGIS to meet needs as an educational charity.
2) They aim to ensure archaeological data can always be accessed and use open formats to avoid re-formatting costs.
3) Oxford Archaeology contributes to open source software development and formed a consultancy, OA Digital, to market their open source
Application packaging and systematic processing in earth observation exploita...terradue
An overview of Terradue's solutions supporting Earth Observations (EO) Exploitation Platforms across multiple domains.
Presentation done as part of the Open Geospatial Consortium (OGC) Technical Committee ad-hoc meeting for the setup of a new domain working group on EO Exploitation Platforms.
A talk about the OSGeo Live project; covering 43 projects that are available in a live DVD format (for you to run without installing). The project is much improved with OGC documentation and a description of many of the projects. New this year (thanks to some sponsorship) is quickstarts for several of the projects.
Analysis Ready Data workshop - OGC presentation George Percivall
The Open Geospatial Consortium (OGC) has activities relevant to the workshop scope of "the current state-of-the-art in satellite data interoperability”. This presentation will focus on two main topics with the option to discuss other relevant topics that the participants may wish to discuss, e.g., WFS3. The two focus areas of development: 1) Geospatial Datacubes and 2) Earth Observation Exploitation Platforms. 1) A Geospatial Datacube provides access to and analytics on analysis ready data (ARD) organized with coordinate axes of space and time with cells in the cube containing data of geospatial features, e.g., imagery. OGC members implementing geospatial datacubes are documenting common practices to spur development and leading to the possibility to federated geospatial datacubes. 2) OGC is forming a Earth Observation Exploitation Platform Domain Working Group with the goal of defining a standards-based framework for cloud-based access to and analysis of EO data. An ad-hoc meeting was held in March 2018 to scope the working group with the results issued in a request for comment: http://www.opengeospatial.org/pressroom/pressreleases/2792
State of GeoServer provides an update on our community and reviews the new and noteworthy features for the Project. The community keeps an aggressive six month release cycle with GeoServer 2.8 and 2.9 being released this year.
Each releases bring together exciting new features. This year a lot of work has been done on the user interface, clustering, security and compatibility with the latest Java platform. We will also take a look at community research into vector tiles, multi-resolution raster support and more.
Attend this talk for a cheerful update on what is happening with this popular OSGeo project. Whether you are an expert user, a developer, or simply curious what these projects can do for you, this talk is for you.
Open Science and GEOSS: the Cloud Sandbox enablersterradue
As part of the European project GEOWOW, Terradue was invited to present views at the GEO-X event on future endeavors to serve data democracy & science literacy in GEOSS (http://www.earthobservations.org/geoss.shtml)
The document discusses a project called PAMOCA that aims to modernize Senegal's land registration system using open source software. It provides an overview of the goals of the project, the actors involved like the Direction Générale des Impôts et des Domaines, and the solutions implemented, including OOCMS for document management and MapJax for geospatial data management. Both solutions are integrated into a platform called GeoLive VS that runs on Linux servers to power the land registration system.
This document provides an overview of trends in web mapping, geoprocessing, and services from the perspective of an Italian small-to-medium enterprise (SME) focused on open source technologies. It discusses challenges like big data, open data, crowdsourcing, the internet of things (IoT), drones, mobile technologies, cloud computing, 3D, and the need for interoperability. The SME works with clients in industries like construction, real estate, smart cities, and defense providing support and customization of open source tools like GeoServer, GeoNetwork, and MapStore.
Tracking emerging diseases from space: Geoinformatics for human healthMarkus Neteler
European and other countries are at increasing risk for new or re-emerging vector-borne diseases. Among the top ten vector-borne diseases with greatest potential to affect European citizens are Dengue fever, Chikungunya, Hantavirus, and Crimean-Congo hemorrhagic fever. Despite the risk of disease transmission, many vectors like the Asian tiger mosquito or ticks are also a nuisance in daily life. The examination of disease vector spread and a better understanding of spatio-temporal patterns in disease transmission and diffusion is greatly facilitated by Geoinformatics. New methods including the use of high resolution time series from space in spatial models enable us to predict species invasion and survival, and to assess potential health risks. Geoinformatics is able to address the increasing challenge for human and veterinary public health not only in Europe, but across the globe, assisting decision makers and public health authorities to develop surveillance plans and vector control.
This presentation provides an overview of GRASS (Geographic Resources Analysis Support System). It discusses that GRASS is open source GIS software for geospatial data management and analysis, with over 350 tools. It has been in development since 1984 and supports raster, vector, image processing, and spatial modeling functions. The presentation also outlines some of GRASS' key features like its GUI, support for different data formats, interoperability with other systems, and examples of practical usage.
Interoperability and Standards for Disaster Risk ManagementLuis Bermudez
Presentation at the Strengthening Disaster Risk Reduction across the Americas: A Regional Summit on the Contribution of Earth Observations - https://disasters.nasa.gov/argentina-summit-2017
The document provides an overview of Free and Open Source Software for Geoinformation (FOSS4G). It discusses topics like web mapping, global land coverage, open data quality, and citizen science. It describes the UN OpenGIS experiment and the Geoinformatics Engineering MSc program at Politecnico di Milano. It also gives an overview of the Future Earth initiative, the Digital Earth concept, and how geospatial data and services are provided via the web. FOSS4G and initiatives like OSGeo and GeoForAll that support the development and use of open source geospatial software are also summarized.
The document discusses the relationship between the Open Geospatial Consortium (OGC) and the Group on Earth Observations (GEO)/Global Earth Observation System of Systems (GEOSS). It provides an overview of the OGC, its standards and members. It also describes the Architecture Implementation Pilot, which develops and deploys new infrastructure components for GEOSS using OGC standards to improve data sharing and interoperability. The OGC supports GEO initiatives like the Appathon to encourage use of GEOSS and provide feedback to further standards development.
What does a Platform mean nowadays?
▪ A lever of Web and Cloud technologies
▪ A business model for value co-creation
▪ A framework to bring innovation to new or larger communities
Advancing open source geospatial software for the do d ic edward pickle openg...Joshua L. Davis
The document discusses OpenGeo, an open source geospatial software company. It summarizes OpenGeo's products and services, including the OpenGeo Suite which bundles several open source geospatial projects. It also discusses how OpenGeo software is being used by organizations for mapping, visualization, and publishing geospatial data.
The NextGEOSS project, a European contribution to GEOSS (Global Earth Observation System of Systems), proposes to develop the next generation data hub for Earth Observations, where the users can connect to access data and deploy data-driven applications.
This document summarizes Jo Cook's presentation on open source geospatial software and the OSGeo Foundation. It discusses Oxford Archaeology's use of open source software and open standards to fulfill requirements of preserving archaeological data in perpetuity. Key points include:
1) Oxford Archaeology has adopted an "open ethos" using open access to data, open standards, and open source software like QGIS, GeoServer, and PostGIS to meet needs as an educational charity.
2) They aim to ensure archaeological data can always be accessed and use open formats to avoid re-formatting costs.
3) Oxford Archaeology contributes to open source software development and formed a consultancy, OA Digital, to market their open source
Application packaging and systematic processing in earth observation exploita...terradue
An overview of Terradue's solutions supporting Earth Observations (EO) Exploitation Platforms across multiple domains.
Presentation done as part of the Open Geospatial Consortium (OGC) Technical Committee ad-hoc meeting for the setup of a new domain working group on EO Exploitation Platforms.
A talk about the OSGeo Live project; covering 43 projects that are available in a live DVD format (for you to run without installing). The project is much improved with OGC documentation and a description of many of the projects. New this year (thanks to some sponsorship) is quickstarts for several of the projects.
Analysis Ready Data workshop - OGC presentation George Percivall
The Open Geospatial Consortium (OGC) has activities relevant to the workshop scope of "the current state-of-the-art in satellite data interoperability”. This presentation will focus on two main topics with the option to discuss other relevant topics that the participants may wish to discuss, e.g., WFS3. The two focus areas of development: 1) Geospatial Datacubes and 2) Earth Observation Exploitation Platforms. 1) A Geospatial Datacube provides access to and analytics on analysis ready data (ARD) organized with coordinate axes of space and time with cells in the cube containing data of geospatial features, e.g., imagery. OGC members implementing geospatial datacubes are documenting common practices to spur development and leading to the possibility to federated geospatial datacubes. 2) OGC is forming a Earth Observation Exploitation Platform Domain Working Group with the goal of defining a standards-based framework for cloud-based access to and analysis of EO data. An ad-hoc meeting was held in March 2018 to scope the working group with the results issued in a request for comment: http://www.opengeospatial.org/pressroom/pressreleases/2792
State of GeoServer provides an update on our community and reviews the new and noteworthy features for the Project. The community keeps an aggressive six month release cycle with GeoServer 2.8 and 2.9 being released this year.
Each releases bring together exciting new features. This year a lot of work has been done on the user interface, clustering, security and compatibility with the latest Java platform. We will also take a look at community research into vector tiles, multi-resolution raster support and more.
Attend this talk for a cheerful update on what is happening with this popular OSGeo project. Whether you are an expert user, a developer, or simply curious what these projects can do for you, this talk is for you.
Open Science and GEOSS: the Cloud Sandbox enablersterradue
As part of the European project GEOWOW, Terradue was invited to present views at the GEO-X event on future endeavors to serve data democracy & science literacy in GEOSS (http://www.earthobservations.org/geoss.shtml)
The document discusses a project called PAMOCA that aims to modernize Senegal's land registration system using open source software. It provides an overview of the goals of the project, the actors involved like the Direction Générale des Impôts et des Domaines, and the solutions implemented, including OOCMS for document management and MapJax for geospatial data management. Both solutions are integrated into a platform called GeoLive VS that runs on Linux servers to power the land registration system.
This document discusses the Open Geospatial Consortium's (OGC) work on standards to support geospatial data and the Internet of Things (IoT). It provides an overview of OGC standards like Sensor Observation Service and Sensor Planning Service. It also describes OGC pilots and programs involving smart cities, underground mapping, and the US Department of Homeland Security. The document encourages involvement in OGC to help develop open standards that drive location technology innovation.
This document provides an overview of free and open source GIS software. It discusses what open source GIS is, including the four basic freedoms it provides. It outlines some major open source GIS projects like QGIS, GRASS, PostGIS, GeoServer, and OpenLayers. The document explains why one would use and teach open source GIS, including low costs, community support, and driving innovation. It also addresses some common misconceptions about open source GIS software.
The document provides an overview of several production grids including the Open Science Grid, DEISA, NAREGI, the Nordic DataGrid Facility, EGEE, and TeraGrid. It describes the organizations, resources, users, operations, software, and partnerships of each grid. The grids provide petascale resources and support a wide range of scientific applications in fields like high energy physics, life sciences, earth sciences, and engineering. They are internationally collaborative efforts that aim to enable open scientific research through distributed computing infrastructures.
Open Source Geospatial Tools: Enabling Decision MakersEcotrust
The document discusses open source geospatial tools that are useful for ecosystem-based management (EBM). It describes the different types of open source tools available, including open source GIS base tools, web apps, and desktop apps. Some benefits of open source tools for EBM include reduced costs, flexibility, and community involvement. Specific open source tools mentioned that are useful for EBM tasks include QGIS, GRASS, web-based decision support tools, OpenOceanMap, and PostGIS. The document provides many links for learning more about various open source tools, standards, and communities.
Presentation to for the ISPRS Congress 2012, Melbourne
Over the last decade, standards have played a key role in the expansion of the market for Earth Observation (EO) products and services. Standards become increasingly important as geospatial technologies and markets continue to evolve in an increasingly complex technology ecosystem. OGC and ISPRS work jointly to further the development of this vital information industry.
We continue to see global growth in the supply of geometrically controlled image-based geodata. On the data supplier side, most end-use EO information products use data from multiple EO sources (aerial and satellite) as well as from ground-based sources. On the customer side, customers’ business models involving EO data require easy connections between multiple data suppliers and multiple technology platforms. Typically, new markets create stovepiped, proprietary solutions that persist until market forces create demand for standards that in turn enhance market opportunity. The OGC’s standards meet this demand in the geospatial markets.
OGC leads worldwide in the creation and establishment of standards that allow geospatial content and services to be seamlessly integrated into business and civic processes, the spatial web and enterprise computing. OGC accelerates market assimilation of interoperability research through collaborative consortium processes.
OGC has both domain focused and technology focused activities. For example, the Meteorology & Oceanography Domain Working Group ensures that OGC standards and profiles allow the meteorological community to develop effective interoperability for web services and content across the wider geospatial domain. These needs are met for example by the technology of standards such as netCDF which was brought into the OGC to encourage broader international use and greater interoperability among clients and servers interchanging data in binary form.
Most OGC standards specify open interfaces or encodings that apply to imagery. Some of these are:
o Web Coverage Service (WCS)
o Web Coverage Processing Service (WCPS)
o Web Map Service (WMS)
o Geography Markup Language (GML)
o GML in JPEG 2000 Encoding
o OGC Network Common Data Form (NetCDF)
o Sensor Observation Service (SOS)
o Sensor Planning Service (SPS)
o Sensor Model Language Encoding Standard (SensorML).
o Catalogue Service for the WEB (CSW)
Similar to OSGeo ireland keynote 2017 by Markus Neteler (20)
Deriving environmental indicators from massive spatial time series using open...Markus Neteler
Geospatial Analytics Forum at North Carolina State University, 4 Sept 2014 - http://geospatial.ncsu.edu/about/geoforum/
See also: http://opensource.com/education/14/9/back-school-grass-gis
Vom Laptop zum Großrechner: Neues in GRASS GIS 7Markus Neteler
GRASS GIS 7 bietet neue Module zur Vektornetzwerk-, Voxelanalyse, Zeitreihenspeicherung und -management, dazu ein Animationstool für Raster-und Vektorkartenzeitreihen, ein graphisches Bildklassifikationtool, "Map Swiper" zum interaktiven Kartenvergleich nebst verbesserter massiver Datenanalyse.
GRASS GIS (Geographic Ressourcen Analysis Support System) blickt mit nun 30 Jahren auf die längste Entwicklungsgeschichte in der FOSSGIS Community zurück. Die stark ansteigende Nachfrage nach robusten und modernen freien Analysewerkzeugen, v.a. im Hinblick auf die heutzutage enormen räumlichen Datenmengen führte 2008 zum Beginn der GRASS GIS 7 Entwicklung. In Bezug auf GRASS GIS 6.4 wurden inzwischen mehr als 10.000 Verbesserungen vorgenommen.
Die Entwicklercommunity hat eine Reihe von neuen Modulen für Vektornetzwerkanalyse, Bildverarbeitung, Voxelanalyse, Zeitreihenspeicherung (Raster, Vektor, Voxel) und eine verbesserte grafische Benutzeroberfläche integriert (http://trac.osgeo.org/grass/wiki/Grass7/NewFeatures). GRASS GIS 7 bietet eine neue Python Schnittstelle, die auf einfache Weise ermöglicht, neue Anwendungen zu erstellen, die leistungsfähig und effizient sind. In der Benutzeroberfläche gibt es nun ein neues Werkzeug für die Animation von Raster-und Vektorkartenzeitreihen, einen verbesserten Georektifier, ein neues Werkzeug zur überwachten Bildklassifikation, einen "map swiper" zum interaktiven Vergleich zweier Karten (z.B. für Katastrophen) und ein visuelles Zeitreihenmanagement.
Darüber hinaus wurde insbesondere die topologische Vektorbibliothek in Bezug auf die Unterstützung von großen Dateien verbessert. Des weiteren gibt es eine Reihe von neuen Analysefunktionen und auch im Raster-/Bildbereich die Unterstützung für massive Datenanalyse. Auch werden nun Projektionen andere Planeten unterstützt. Viele Module wurden in Bezug auf Geschwindigkeit signifikant optimiert. Der Vortrag illustriert die interessantesten Neuerungen und zeigt, wie Benutzer auf einfache Weise auf die kommende GRASS GIS 7 Version migrieren können. Testversionen stehen für alle üblichen Betriebssysteme zur Verfügung (http://grass.osgeo.org/download/software/).
This document discusses the history and capabilities of GRASS GIS, an open source geospatial software suite. GRASS was first developed in 1984 and continues to be improved through contributions from its development team and user community. It provides tools for geospatial data management, spatial modeling, map production, spatial analysis, and visualization. GRASS can process large LIDAR datasets, connect to external data sources, perform 3D modeling and visualization, and is increasingly integrated with web-based tools and programming interfaces like Python.
From a niche to a global user community: Open Source GIS and OSGeoMarkus Neteler
OGRS 2009: International Opensource Geospatial Research Symposium
www.ogrs2009.org
From a niche to a global user community: Open Source GIS and OSGeo
Markus Neteler
IASMA Research and Innovation Centre
Fondazione Edmund Mach
Environment and Natural Resources Area
GIS and Remote Sensing Unit, Trento, Italy
Web: http://gis.fem-environment.eu/
Email: markus.neteler . iasma.it
Geographical Information Systems (GIS) have evolved from a highly specialized niche to a technology that affects nearly every aspect of our lives, from finding driving directions to managing natural disasters. The masses have discovered geospatial data and technologies through the availability of popular globes; wiki-fied street mapping which was started by a few individuals has grown to weekly mapping parties around the globe. Today almost everybody can create customized maps or overlay GIS data. Current GIS technology covers viewing maps and images on the web, simple and complex spatial analysis, modeling and simulations.
In our presentation we'll present highlights of the last 20 years of Open Source GIS developments. Many projects are born as initiative of individuals when the lack of available software for a specific application is solved by own development and the result is then made available to the public on the Internet for further collaborative development. In the early 80's, the first Open Source GIS (MOSS and GRASS GIS) reached production status followed by the PROJ4 library project, a first crucial library for many Open Source GIS applications. In 1995 the UMN MapServer project was started to implement OGC standard. The second cross-project library GDAL/OGR was born in 1998. While these projects became mature, new applications were started with partially extraordinary success (OpenEV, OSSIM, MapBuilder, PostGIS, Geoserver, Quantum GIS, uDIG, MapGuide Open Source, MapBender, gvSIG, Geonetwork and OpenLayers).
The wealth of available but partially unconnected projects suggested to establish an umbrella foundation to foster source code and knowledge sharing. Hence, in February 2006, the Open Source Geospatial Foundation (OSGeo, www.osgeo.org) has been created to support and promote worldwide use and collaborative development of Open Source geospatial technologies and data. The foundation supports outreach and advocacy activities to promote Open Source concepts. It also builds shared infrastructure for improved cross-project collaboration. OSGeo has been a stimulating force for cooperative developments of sister projects, leveraging each other efforts by developing shared architecture components and expanding interoperability.
To become an OSGeo member, the software project needs to undergo a rigorous review of its source code, development structure and community health. In these community-developed projects a whole “ecosystem” of users, translators, developers, and provides quick support and tested solutions, both for beginners and professionals.
In our opinion, Open Source GIS is an appropriate choice for scientific computing as it is developed in a peer review process. We will show some case studies for GRASS GIS usage in research which illustrates its academic roots especially in environmental applications. This covers analysis of spatio-temporal data sets such as multi-temporal Lidar and remote sensing data including processing of large amounts of geospatial data on a cluster.
GRASS and OSGeo: a framework for archeologyMarkus Neteler
Use of GIS and geospatial data in archeology. Contribution to:
Quarto Workshop Italiano "Open Source, Free Software e Open Format nei processi di ricerca archeologica", Roma, 27 e 28 aprile 2009. Sede centrale del Consiglio Nazionale delle Ricerche (CNR)
http://www.archeo-foss.org/
Abstract:
With the widespread availability of desktop GIS, archaeologists have gained the tools to comprehensively analyze the important spatial component of their data. Initial archaeological use of GIS was (and still is in many instances) for making maps of archaeological sites. Rather quickly GIS became used for predictive modeling of site locations. More recently, viewshed analysis has seen increasing use, in efforts to understand prehistoric perceptions of the landscape.
In the last years, Open Source GIS software evolved to a powerful set of software products which support both scientific as well as common GIS users. In particular, the integration of GIS with image processing capabilities, geospatial data analysis, database management system and Web mapping software enables archaeologists to perform their tasks in a completely free environment. Since 2006, the Open Source Geospatial Foundation (OSGeo) operates as umbrella foundation for Web Mapping, Desktop GIS Applications, Geospatial Libraries, Metadata Catalog as well as the Public Geospatial Data project and the Education and Curriculum project.
In our presentation, we focus on GRASS GIS (http://grass.osgeo.org/) for spatial data analysis and visualization. GRASS is the largest Open Source GIS program currently available. The new version GRASS 6.4.0 is interoperable as it supports all common vector and raster GIS formats. Its capabilities cover raster and volume spatial analysis and modeling, time-series and landscape analysis, image processing, and visualization of 2D and 3D (voxel) raster data. Vector data can be digitized, extracted, extruded to 3D, and vector networks analyzed. Vector data are handled topologically. Vector attributes are stored in internal or externally connected databases. All general GIS tasks like map reprojection, georeferencing, and transformations are available for raster and vector data. The data storage concept of GRASS permits for single as well as multi-user access set up via network file system.
GRASS 6.4.0, the new stable release after more than one year of development and testing, brings a number of exciting enhancements to the GIS. Besides the hundreds of new module features, supported data formats, and language translations. The 6.4.0 release also runs in MS-Windows, a new installer is provided. A new graphical user interface with integrated location wizard and new vector digitizer is also included.
The presentation concludes with a series of applications relevant to archaeology including image processing, Lidar data analysis, fast viewshed analysis and more.
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Free GIS and Interoperability: The need of Interoperability in Office and GIS formats
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[GIS Open Source, interoperability and the 'culture of data' in the spatial data warehouses of the Public Administration]
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2) LST data correlates well with meteorological station data and can be used to reconstruct continuous temperature time series.
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Understandable dialogue on Apple TV+
On-device app controlling AI.
Access to ChatGPT with a guest appearance by Chief Data Thief Sam Altman!
App Locking! iPhone Mirroring! And a Calculator!!
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The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
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SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
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36. Thank you!
Contact:
Dr. Markus Neteler
Email: neteler@osgeo.org
Web: http://www.mundialis.de Credit:Sentinel-2A,22 Nov 2016
Contains modified Copernicus Sentinel data [2015-2016]/ESA/mundialis
Editor's Notes
At the level of organizations many changes occurred: the GIS world became more professional and organized.
In 1992 the GRASS Interagency Coordinating Commitee was founded, it was turned into the Open GRASS Foundation which then became the OpenGIS Consortium.
The timeline shows the evolution.
While Tim Berners-Lee constituted the World Wide Web Consortium, the today&apos;s OGC was established.
Web Map Service (WMS1.3)
Provides three operations protocols (GetCapabilities, GetMap, and GetFeatureInfo) in support of the creation and display of registered and superimposed map-like views of information that come simultaneously from multiple sources that are both remote and heterogeneous.
Web Coverage Service (WCS)
Extends the Web Map Server (WMS) interface to allow access to geospatial &quot;coverages&quot; that represent values or properties of geographic locations, rather than WMS generated maps (pictures).
Web Feature Service (WFS)
The purpose of the Web Feature Server Interface Specification (WFS) is to describe data manipulation operations on OpenGIS® Simple Features (feature instances) such that servers and clients can &apos;communicate&apos; at the feature level.
Web Map Context Documents (WMC)
Create, store, and use &quot;state&quot; information from a WMS based client application
Web Map Service (WMS1.3)
Provides three operations protocols (GetCapabilities, GetMap, and GetFeatureInfo) in support of the creation and display of registered and superimposed map-like views of information that come simultaneously from multiple sources that are both remote and heterogeneous.
Web Coverage Service (WCS)
Extends the Web Map Server (WMS) interface to allow access to geospatial &quot;coverages&quot; that represent values or properties of geographic locations, rather than WMS generated maps (pictures).
Web Feature Service (WFS)
The purpose of the Web Feature Server Interface Specification (WFS) is to describe data manipulation operations on OpenGIS® Simple Features (feature instances) such that servers and clients can &apos;communicate&apos; at the feature level.
Web Map Context Documents (WMC)
Create, store, and use &quot;state&quot; information from a WMS based client application