Open Source GIS and Modeling Tools

An update on OGC activities in three time horizons: Now, Next and After Next. Finishing with how to keep updated on OGC activities. Now Recently approved OGC standards Implementation of approved standards Next Standards Program Innovation Program After Next Tech Forecast How to keep in touch

It's presentation of speaking in GIS International Seminar in Korea. You can refer to my full document in http://channy.creation.net/blog/data/channy/gis-seminar-2007.pdf

Presentation at the 3rd International MapWindow Open-Source GIS Conference in Velp, The Netherlands, 06/26/2012

This document discusses exporting Digital Japan, which provides open access to Japanese maps, via open source tools. It describes how Geographic Information Authority of Japan (GSI) shares map data through web services using tiled topographic map data and APIs. It outlines the evolution of GSI's Digital Japan Web system from 2003 to support open standards like OpenLayers. The document also explains how open source tools like TileMill, OpenLayers, and other web mapping libraries allow anyone to generate map tiles and publish web mapping applications. It provides an example of a workshop where participants used TileMill to publish a tile-based web map of Brazil within a few hours.

The document discusses the roles of Google and the Open Geospatial Consortium (OGC) in geospatial information systems and web mapping. It provides an overview of Google's geospatial technologies like Google Maps, Google Earth, and KML. It then introduces the OGC, its standards including GML and Web Map Service (WMS), and how these standards enable interoperability between different systems. The document argues that while Google is useful for many applications, the OGC is still needed for applications involving custom basemaps, connecting desktop GIS to web services, mixing data from different sources, or creating complex geospatial models.

This document provides an introduction to PostGIS, an open source spatial database extender for PostgreSQL object-relational database. It discusses PostGIS' support for spatial data types, indexing, and functions. PostGIS allows for storage and query of spatial data in PostgreSQL for use in enterprise mapping, GIS, and location-based applications and services.

The document discusses several key factors driving adoption of cloud computing: - Economic factors such as the decreasing cost of electricity for computing and pay-as-you-go pricing models. - Cultural factors including consumerization of IT and expectations of increased agility, accessibility, and scalability. - Technological factors like virtualization, distributed computing tools, and concepts enabling scalable infrastructure.

This document summarizes Team 4's 3D Open Land Use project presented at the INSPIRE Conference. The team developed applications to visualize open land use and farm data in 3D using Cesium and HSLayers-NG. Their applications integrate global and local terrain and land cover data to explore yield potential. The team hopes to continue collaborating with other INSPIRE Hack teams and apply their work to agriculture pilots and large data analytics projects.

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

The keynote talk I gave at a seminar organized by the Danish National Mapping Agency in Copenhagen, in March 2010. Some common material with other "Geospatial Revolution" presentations I have given, and some new material too.

Geospatial World Tour 2014: Energy Conference. Milano, 27 maggio 2014. Le soluzioni Geospaziali per il mondo energy Simone Colla, Hexagon Geospatial

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.

Landmap provides geospatial datasets and resources for education. It aims to increase awareness of geospatial data and provide learning materials structured into courses, units, and topics. The learning zone covers topics from basic to advanced levels and includes software, data, theory, and workflows. It has a technological framework based on Joomla and a pedagogical framework following a six-part educational model. Future plans include making some resources openly available and developing new content areas and engagement with researchers.

Urban metabolic mapping on the web: An example from Bangalore, India. The document describes an interactive, online platform called BUMP (Bangalore Urban Metabolism Project) that allows users to visualize and explore urban metabolism data for Bangalore, India. BUMP uses open source tools like OpenLayers, PostGIS, and PHP to display geospatial data layers on maps and integrate features like Google Charts. It also links to the WEAP water modeling system to enable online scenario exploration. Next steps discussed include crowdsourcing data, conducting online surveys, and expanding the platform to other cities.

study of basic workflow of any transportation planning s/w and incorporate the features into UTSP virtual lab at II Bombay