Introduction to Open Source GIS

This document provides an introduction to Geographic Information Systems (GIS). It defines GIS as a system designed to store, manipulate, analyze and display spatially referenced data. The key components of a GIS are hardware, software and data. Common GIS software includes desktop programs like ArcGIS and open-source options like QGIS. GIS can incorporate different types of spatial data like raster, vector and remote sensing data along with associated attribute tables. Example applications discussed are in hydrology, including watershed analysis and flood modeling.

GIS stands for geographic information system. It involves capturing, storing, manipulating, analyzing and displaying spatially referenced data on Earth. GIS is unique in that it handles spatial information referenced by location. It developed from technologies like digital cartography, CAD, and database management systems. The core components of a GIS are spatial data, hardware/software tools, and specific applications. Spatial data has characteristics like geometry, topology, location with attributes. GIS data can be stored in vector or raster models. GIS provides benefits like better information management, analysis, and scenario modeling for applications in facilities management, environmental analysis, transportation and more.

This document discusses key concepts related to data in GIS systems. It describes the different types of spatial and attribute data as well as vector and raster data formats. It explains how data is organized into layers and how those layers can be queried and overlaid to integrate information from different sources and analyze spatial patterns in the data.

This document provides an overview of using QGIS open source GIS software to load, manipulate, and classify geospatial data. It discusses loading data formats like shapefiles and geodatabases, exploring the QGIS interface, performing digitization and attribute editing, running topology rules to check for errors, and labeling layers to provide more information about mapped features. Exercises are demonstrated step-by-step to help users understand how to apply GIS theory and create basic maps in QGIS.

This document provides an introduction to geographical information systems (GIS). It defines GIS as a system for capturing, storing, analyzing and managing spatial data referenced to locations on Earth. The key components of a GIS are software, hardware, data, users, and methods. GIS software includes tools for inputting, manipulating, managing, querying, analyzing and visualizing geographic data. GIS data can be represented in vector or raster formats and comes from various sources. GIS is used for applications like resource management, planning, and analysis across many industries.

GIS is a computer-based information system used to capture, manage, update, analyze, display, and output spatial data and information to be used in a decision making context. It integrates hardware, software, data, people, and allows for the visualization and analysis of data with a geographic component. Some key applications of GIS include emergency response, transportation planning, site selection, and natural resource management.

Government has huge amounts of information but how can this be effectively managed and delivered through the web? This session will ‘lift the lid’ on web mapping technology and identify some of the key issues that must be addressed to achieve a successful outcome. The NSW government SIX Viewer web mapping portal will be used as a case study to demonstrate how terabytes of data can be integrated and delivered via the Internet.

This document provides an introduction to geographic information systems (GIS). It defines GIS as a computer system for capturing, storing, analyzing and displaying spatially-referenced data. A GIS integrates database operations with maps in digital form and allows users to create interactive queries, analyze spatial information, edit maps and present results. The document outlines key components of a GIS including data, databases, processing capabilities, hardware and communications. It also discusses the importance of location in problem-solving and decision making as well as the history and business applications of GIS technology.

GIS is a tool that allows for the storage, manipulation, retrieval, analysis and display of spatially referenced data. It differs from automated cartography and CAD in that it adds analytical capabilities. A LIS is a type of GIS focused on land information systems at a large scale. The main components of a GIS are people, data (spatial and aspatial), hardware, and software. The internet has greatly impacted GIS by facilitating data sharing, online discussions, and access to web-based GIS applications.

Mobile GIS allows field workers to capture and edit geographic data on mobile devices. It integrates GPS, mobile devices, and wireless communications to access GIS data from the field. The main benefits are improved field efficiency and data accuracy. ESRI provides several mobile GIS apps, including ArcPad for data collection, and apps for Windows, iOS, and Android devices that can access maps and perform analysis in the field. Mobile GIS systems connect mobile devices running GIS software via wireless networks to central GIS servers to share and sync field data.

Geographical Information System (GIS) is a computer system for capturing, storing, analyzing, and displaying spatially-referenced data. GIS allows users to visualize relationships and patterns in data through maps, globes, reports, and charts. The key components of GIS are data capture, database management, geographic analysis, and result preparation. GIS data comes in vector and raster formats, with vector being better for representing real-world features precisely and raster being better for dense data like elevation or land cover. GIS provides accurate data, better analysis and predictions, and helps answer questions by visualizing spatial relationships. However, GIS software can be expensive and difficult to integrate with traditional maps.

This document provides an overview of basic concepts in geographic information systems (GIS). It defines GIS as a system for capturing, storing, integrating, analyzing and displaying spatially-referenced data. Key components of GIS include data input, storage, management, analysis and output. GIS handles spatial data referenced by location and allows analysis of relationships based on spatial proximity. GIS has a wide range of applications in fields like government, agriculture, business, environment and research.

This document provides an overview of cartography and mapmaking. It discusses the cartographic process, which involves collecting and organizing data, designing maps, and reproducing maps. It also describes the uses and functions of maps, different map types and symbols, various map projections, and technological changes in the field. The document outlines advantages and limitations of maps and concludes that cartography involves the theory and practice of mapmaking to effectively communicate spatial information.

A GIS is a type of information system that uses geographical data to produce useful information for decision making. It is a computer system combining software, hardware, data, and personnel to manipulate, analyze, and present spatial data and information. A key part of a GIS is the person exploring the data to gain insights. The system captures data from various sources, organizes it, and allows the user to perform spatial analysis to create maps, models, and statistics.

This document discusses remote sensing fundamentals, including the types of sensors, physics, and platforms used. It describes two main types of sensors - passive sensors that record radiation from the sun and active sensors that provide their own illumination. The key aspects of electromagnetic radiation used in remote sensing are wavelength and frequency. Platforms can be ground, air, or space-based, with satellites and aircraft being most common. Remote sensing relies on measuring electromagnetic energy reflected or emitted from the target area.

The document discusses various methods of georeferencing, which is assigning accurate locations to spatial information. The most comprehensive method is using latitude and longitude, which defines locations based on angles from the equator and Greenwich Meridian. However, the Earth's curved surface poses issues for technologies that work with flat maps and data. Therefore, map projections are used to translate locations on the spherical Earth onto flat planes or surfaces, though all projections introduce some distortion. Common projections include cylindrical, conic, and the Universal Transverse Mercator system.

It includes modern trends of GIS RELATING TO ENVIRONMENT. It basically focuses on the applied portion of GIS.

1) The document provides an introduction to open source GIS presented by Shin Sanghee to Kazakhstan delegates. It covers topics such as what is open source software, benefits of open source GIS, examples of open source GIS projects and organizations like OSGeo. 2) Key open source GIS projects and components discussed include PostGIS, GeoServer, MapServer, QGIS and OpenLayers. Examples are given of countries adopting open source GIS for national spatial data infrastructure. 3) The OSGeo Foundation aims to support collaborative development of open source geospatial software and promote its use through activities like incubation of projects and providing resources.

1) Open source GIS involves open source GIS software, open data, open licenses, and standards. It is an alternative to proprietary GIS software. 2) Approaches to implementing open source GIS include using only open source, only proprietary software, or a hybrid. Considerations include resources, government policy, and substitutability of open source for proprietary software. 3) Case studies from South Korea demonstrate various uses of open source GIS, including geospatial image services, satellite image management, traffic and weather mapping, and building information modeling.

The document summarizes a meeting between Gaia3D and Mozambique MoTC delegates regarding the introduction of open source GIS. It defines open source software, discusses the benefits of open source over commercial software including cost savings. It provides an overview of open source GIS projects under the OSGeo foundation including databases, servers, and clients. Examples are given of countries adopting open source GIS for national spatial data infrastructures including EU, Bolivia, France, and the US. Korean cases of open source GIS adoption by government agencies are also summarized.

The document compares several mobile GIS applications including both proprietary and open source options. It discusses platforms, features, and performance based on tests of common tasks. While open source applications have potential and are comparable to ArcPad in many ways, they still need more documentation, customization options, and support for professional sensors to be as full featured. New devices, interactions, and technologies also provide opportunities for mobile GIS applications.

Open Source GIS - Paul Bartsch & Joe Larson: talk given for San Luis Obispo GIS Users Group May 20th, 2009.

The document discusses open source geographic information systems (GIS) software as an alternative to proprietary GIS software in education and application development. It provides an overview of open source GIS software such as QGIS and GRASS, their advantages for education including no licensing fees and ability to customize, and potential startup opportunities using open source GIS. Example open source GIS applications are also summarized such as R-ArcGIS, QGIS, GRASS, SAGA, GeoServer, and OpenLayers.

The document discusses Open Source GIS in South Korea. It provides background on perceptions of Open Source software in Korea and how those perceptions have changed over time. It outlines government policies and funding that now support Open Source GIS, including projects to develop an Open Source GIS platform and increase the ecosystem around Open Source GIS. It also describes the activities of OSGeo Korean Chapter and KAOS-G (Korea Open source GIS forum), including their participation in international conferences, translations of user interfaces, and training initiatives.

This document summarizes Toru Mori's presentation on activities of FOSS4G (Free and Open Source Software for Geospatial) at a January 22, 2008 event. It discusses how geospatial technologies have become integrated with the web/internet through services like Google Maps. It then outlines the growth of FOSS4G tools and standards supported by organizations like OSGeo, providing examples like MapServer, PostGIS, GRASS, and GDAL. It notes how FOSS4G allows for open collaboration and integration of systems from different vendors through open standards and data.

1) The document discusses open source GIS, providing definitions and examples of open source GIS software, data, licenses, and the OSGEO community. 2) It describes approaches to building GIS systems using closed, open source, or hybrid architectures and considerations around resources, policies, and substitutability. 3) Case studies from South Korea are presented using open source GIS for geospatial image services, satellite image management, search and ordering, hazard mapping, traffic information maps, and building information modeling.

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.

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.

Esri presentation at FOSS4G conference, 08 Sept 2010, in Barcelona. Recognition of the value of FOSS contributions, alongside commercial platforms. The IT world is not black/white; most large deployments around the world are mixed FOSS and commercial. Here Esri presents several modest contributions to further the possibility of collaboration with FOSS developers: to build value-added extensions on a widely used platform.

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.

Open AR Cloud gave an update on its activity and a look out on its 2020 mission building the core pieces of a decentralised Open Spatial Computing platform (OSPC) Presentation Slides of the Open AR Cloud presentation at AWE EU (Munich Nov. 17th)

The Inspire Helsinki 2019 event brought together around 170 people from 29 countries to foster discussion and new ideas on how to realise the full potential of spatial data. The three-day event featured data challenges, practical hands-on workshops and future-oriented keynote presentations. The event was summed up in a panel discussion, in which perspectives on tackling remaining challenges were brought up.

The document summarizes a keynote presentation by Bart De Lathouwer, President of the Open Geospatial Consortium (OGC). It provides an overview of OGC, including that it is a global consortium that develops open standards for location data and serves as a forum for communities to address interoperability issues. It discusses OGC's role in connecting people, communities, technology, and decision making through spatial data standards. It also summarizes OGC's history of developing standards like WMS, efforts to align with other organizations like W3C, and current focus on developing modular API standards like OGC API - Features to make spatial data more accessible and usable on the web.

The Inspire Helsinki 2019 event brought together around 170 people from 29 countries to foster discussion and new ideas on how to realise the full potential of spatial data. The three-day event featured data challenges, practical hands-on workshops and future-oriented keynote presentations. The event was summed up in a panel discussion, in which perspectives on tackling remaining challenges were brought up.

EDINA is a national data center in the UK that delivers geospatial data and services using open standards and open source software. It provides access to collections like Digimap and OpenBoundaries through web mapping applications and data downloads. EDINA uses open standards like OGC and open source software from OSGeo projects to build interoperable and resilient systems while reducing costs. This hybrid approach provides flexible and innovative services to users while meeting the needs of funders.

EDINA is a national data center in the UK that delivers geospatial data and services using open standards and open source software. It provides access to collections like Digimap and OpenBoundaries through web mapping applications and data downloads. EDINA uses open standards like OGC and open source software from projects in OSGeo to build robust and interoperable systems while reducing costs and increasing flexibility.

This talk presents an overview of some of the most important Open Specifications (OS) for the storage, transport and processing of geospatial data and why they matter for the development of the next generation of geospatial systems and data infrastructures. What is the importance of being Open? What is the relationship of OS and geospatial software (both FOSS4G and private/proprietary software)? A Web-based system architecture based on OS and FOSS4G will be presented.

안녕하세요? 2024년 6월 1일 고려대학교에서 개최된 한국지도학회 춘계학술대회에서 발표한 자료입니다. 디지털트윈에서 시공간 현상 정보를 가시화한 사례와 이의 구현의 어려움에 관해 발표했습니다.

https://www.youtube.com/watch?v=vTH6mvB2s0E 안녕하세요?   2024년 대한공간정보학회 춘계학술대회에서 발표한 내용입니다. "오픈소스로 10분만에 디지털트윈 서비스하기"를 현장에서 본 동영상처럼 시연하였습니다.  총 1GB 크기의 6종 데이터를 동영상처럼 10분 안에 표준적인 포맷으로 변환하고 서비스하였습니다.  1m DEM (GeoTiff) to Quantized Mesh 2D building footprints (SHP) to  Extruded 3D Tiles Photo-realistic 3D buildings (3DS) to 3D Tiles BIM (IFC) to 3D Tiles Point cloud (LAZ) to 3D Tiles Underground facilities (SHP) to Augmented 3D Tiles 사용한 오픈소스 프로젝트는 mago3DTiler(https://github.com/Gaia3D/mago-3d-tiler)와 mago3DMesher입니다.   ***   "How to Build a Digital Twin Service in 10 Minutes with FOSS4G!" was showcased at the KSIS (Korea Spatial Information Society) Spring Conference on May 16th. The demonstration included uploading and converting various data types to create a digital twin of Sejong City. These data types included: 1m DEM (GeoTiff) to Quantized Mesh 2D building footprints (SHP) to Extruded 3D Tiles Photo-realistic 3D buildings (3DS) to 3D Tiles BIM (IFC) to 3D Tiles Point cloud (LAZ) to 3D Tiles Underground facilities (SHP) to Augmented 3D Tiles The data was successfully processed and converted into a digital twin service!  mago3DTiler(https://github.com/Gaia3D/mago-3d-tiler) and mago3DMesher were employed to showcase this.

At the OGC member meeting in Delft, Netherlands, my team from Gaia3D and I shared our experiences and the challenges we faced while visualizing large spatio-temporal datasets in digital twins. In conclusion, we discussed the necessity for a new standard, referred to as 'Voxel Tiles,' for visualizing spatio-temporal data.

2024년 2월 16일 제주도에서 개최된 대한공간정보학회 신년학술대회에서 발표한 자료입니다. 객체, 현상, 지능화라는 관점에서 최근의 디지털트윈 관련 동향과 사례를 짚어봤습니다. 참고하시기 바랍니다.

2024년 1월 25일 서울시립대학교 창업지원단 주최의 세운캠퍼스 창업기업 쇼케이스에서 발표한 자료입니다. 오픈소스와 인연이 어떻게 사업이 되었는지 개인적인 시각에서 이야기해 봤습니다. 참고하시기 바랍니다.