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22:46 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Use case of a dual open strategy in the canton of Zurich/Switzerland

With a dual 'open'-strategy the department of geoinformation at the canton of Zurich/Switzerland opts for a strategic orientation towards open source and open data: Open in the sense of an open web-mapping- infrastructure based on open source components: Mapfish Appserver was developed as a framework for building web map applications using OGC standards and the Mapfish REST protocol. It is freely available under the new BSD-license (http://mapfish-appserver.github.io/). The Ruby on Rails gem comes with the following out-of-the box features: - Organize maps by topics, categories, organisational units, keywords and more - Combine maps with background and overlay topics with adjustable opacity - Import UMN Mapserver mapfiles to publish new topics within seconds - Fully customizable legends and feature infos - Creation of complex custom searches - Rich digitizing and editing functionality - Role-based access control on topic, layer and attribute level - Access control for WMS and WFS - Rich library of ExtJS 4 based map components - Multiple customizable viewers from minimal mobile viewer to full featured portal - Multi-site support - Built-in administration backend - Self-organized user groups maps.zh.ch, the official geodata-viewer of the canton of Zurich, was developed using Mapfish Appserver. It contains more than 100 thematic maps and is considered an indispensable working tool for everyone working with spatial data in the canton of Z?rich/Switzerland. 'Open' in the sense of Open Government Data: Zurich is the first canton participating in the national open data portal opendata.admin.ch. The portal has the function of a central, national directory of open data from different backgrounds and themes. This makes it easier to find and use appropriate data for further projects. The department of geoinformatics aims to open as many geo-datasets as possible for the public by publishing them on the national OGD-portal. The open geodata is issued in form of web services ? Web Map Services (WMS), WebFeature Services (WFS) and Web Coverage Services (WCS) - and contains a wide range of geodata from the fields of nature conservation, forestry, engineering, infrastructure planning, statistics to high resolution LIDAR-data.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
16:10 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

GIS Policy Map for Local Government in Korea: Story of Dobong-gu, Seoul

Local governments in Korea are trying to solve urban problems using GIS policy map. Through FOSS4G Seoul, I want to introduce example of Dobong-gu, Seoul. Topic 1. Spatial Analysis of Practical Requirements of Parking Lot The residents who live in the old residential zone in Dobong-gu are suffering from shortage of parking spaces every morning and night. Most administrators are using an indicator named ‘a ratio of cars to parking spaces’ to judge seriousness of the problem with parking. But the indicator cannot reflect reality. We measured practical requirements of parking lot spatially, using micro block data and car registration data with addresses. We tried to look at things from the resident’s perspective, not from administrator or provider. Now, Dobong-gu push ahead with sharing parking lot program with houses which have spare parking spaces. Topic 2. Civic Participation Model for Solving Children’s School Walkway Safety Problems. Office of Policy Development of Dobong-gu did a survey with a thousand residents about safety issue, and many of them answered that they feel fear walking down the alley. Although the Office got the policy implication from survey, they couldn’t convince the definition of ‘alley’ and accurate location where the residents feel fear. Office and we redesigned survey paper cooperatively. The improvement point was ‘Map-based Survey’. Elementary school students and their parents participated and they lined school walkway and alleyways where they felt fear on paper map. We migrated all the lines on papers to shape files using QGIS, then we got a very satisfactory outcome. Office of Policy Development added LED lights to the dark street nearby elementary school, Elementary school teachers decided the walkway guidance spot by referring to students often jaywalk.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
26:17 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

PostGIS Feature Frenzy

What can you do with this PostGIS thing? This talk covers some basic and not��so��basic ways to use PostGIS/PostgreSQL to process spatial data, to build infrastructures, and to do crazy things with data. PostGIS has over 300 functions, which in turn can be used with the many features of the underlying PostgreSQL database. This talk covers some basic and not��so��basic ways to use PostGIS/PostgreSQL to process spatial data, to build infrastructures, and to do crazy things with data. Consider the possibilities: raster, topology, linear referencing, history tracking, web services, overlays, unions, joins, constraints, replication, json, xml, and more!
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
21:23 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

New opensource geospatial software stack from NextGIS

NextGIS has been busy working on a new stack of geospatial software for the past few years and we're finally ready to present what we've accomplished. Our stack consists of 4 major components: web (NextGIS Web), mobile (NextGIS Mobile), desktop (NextGIS QGIS) and data management (NextGIS Manager). Three of those components are brand new, developed by NextGIS alone and were released just recently. For the fourth component, we participate in QGIS development since 2008 and use its codebase for our desktop component. The main focus of the stack is tight integration, ease of use and modularity. New stack features unique features, to name just the few: plugable renderers for NextGIS Web, multi-layer support for NextGIS Mobile, super-fast rendering and great formats support for NextGIS Manager and all-around integration with NextGIS QGIS. The presentation will provide an overview and will look at general architecture, use cases and plans for future development.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
30:19 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Who's On First - because sometimes geo is not spatial

  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
24:19 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Developing a Land Use Database of the Kanto Region, Japan in the 1880's

Historical land use records are valuable information for biodiversity protection, disaster management, rural area planning and many other uses. The Rapid Survey Maps (RSM) that were surveyed in the 1880's (early Meiji Era), are the first modern cartographical map series of Japan and important sources of information on traditional land use in early modern Japan. We had been analyzing these maps based on polygon data and raster based Web-GIS System to disseminate the Rapid Survey Maps using FOSS4G, but, these are difficult to apply for quantitative analyses of land use change. Thus, we developed a grid based land use database using QGIS and PostGIS, and published the database using GitHub. First, we developed a land use data input system consisting of a client and server. The client was developed using QGIS API and the server was a PostGIS database. Point data as a 100 m grid was stored in the PostGIS server and land use category underneath each point was input using the QGIS application. About 1,400 thousand records (70%) have already been inputted. Error of grid based land use data is less than 1% compared with vector based land use data. We analyzed land use change from the 1880's to 1975's. The most significant difference between the 1880's and 1970's is the area of urban land use and rough land such as grassland and bush. Urban area increased remarkably and grassland area almost disappeared. That does not mean grassland changed to urban area. Most grassland changed to agricultural land uses and forest, and urban area was formerly mainly agricultural land use and forest. Some inputted data have been copied to GeoJSON and uploaded to GitHub (https://github.com/wata909/habs test/) as open data (Creative Commons BY 2.1 Japan). A tentative data browsing site was constructed with Leaflet (for example, http://wata909.github.io/habs test/rapid544000.html). In this site, it is possible to compare point type land use data in the 1880's and present topographic map/RSM raster data. We hope that this database contributes to not only academic research, but also business, government, and public interest.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
24:22 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Evaluating Flood Hazard Potential in Danang City, Vietnam Using FOSS4G

This study aims to build flood hazard map for a lowland area in Danang city, Vietnam based on topographical data, land-cover and flood inundation map. ALOS PALSAR imageries with respect to the time before and during flood event in 2007 were used to characterize flood inundation. In addition, topographical data was developed via 5m resolution DEM generated by a bi-cubic spline algorithm that implemented in BS-Horizon program (Nonogaki et al., 2012). This high resolution DEM was used to enhance the accuracy of flood map as well as determine the geomorphological features of the study area and the relations on flood hazards. Land-cover map in 2007 extracted from Landsat TM data was also applied for the landform classification process. The flood hazard map was generated based on the probability of submergence of each landform unit. The changes in land-cover as well as topography have significant effect on flood hazard. In this study, optical Rapid Eye remote sensed data in 2014 was used to extract land-cover by the time and the land-cover change from 2007 to 2014. The estimated landform and potential flood hazard map in 2014 was built based on the updated land-cover. The result was compared with field survey flood pillar data, flood map in the past, land-cover change and flood scenario given by Danang City government to assess the accuracy. This research has also proposed some flood prevention plans for this alluvial lowland area. Landforms units derived rule-based classification of land cover map, 5m resolution DEM data and flood inundation map not only facilitates the understanding of the nature of flood but also in flood risk zoning. The methodology developed in this study would be useful in low relief areas in Vietnam and other parts of the world.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
17:24 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Technical introduction to Oskari - A Modular web mapping application framework!

Developing a web mapping application? Why to reinvent the wheel while there is a framework that offers all the web mapping functionalities adaptable for your needs! Oskari is a modular map application framework for easily building varied web mapping applications. Applications can be composed by selecting functionalities from existing components, and custom extensions can be created and attached to applications easily. The existing components range from basics like layer selection and location search to more advanced functionalities like thematic maps and analysis. This presentation enables you to package your code to be part of Oskari, speed up your development by using ready-made tools and easily add server-side functionality to the existing implementation. Techstack includes Javascript, OpenLayers 2/3, Java, Geotools, Geoserver, PostgreSQL with PostGIS. Oskari is used in a wide range of different national and international web mapping services and it is continuously developed to better serve the changing requirements both by adding functionalities and perfecting the existing ones. Come and join the fast-growing group of Oskari Developers!
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
23:56 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

How Simplicity Will Save GIS

t’s 2014 — we have consumer robots and electric cars, private spacecraft, planet colonization projects, and the Higgs Boson is confirmed, but GIS software is still a mess. You might be able to make sense of it all if you’re a GIS specialist with an academic background, but other creative individuals — designers, developers, tinkerers of all kinds, each with a vision and desire to create meaningful and beautiful maps and visualizations — are constantly losing battles against bloat, clutter, and complexity. How do we reverse this GIS entropy? What does it take to turn complex technology into something that anyone can use and contribute to? An attempt to answer by the creator of Leaflet, a simple JS library that changed the world of online maps forever.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
27:57 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Advances in Civic Co-management Within the Geospatial Ecosystem Applied to Disaster Risk Management

The use of mobile devices for identifying risk and coordinating disaster response is well accepted and has been proven as a critical element in disaster risk management [1,2]. As new tools, applications, and software are adopted by municipal governments and NGOs for the identification and management of urban risk, the need for greater integration of the various data they aid in collecting becomes acute. While the challenge of integrated data management is substantial, it is aided by the fact that many new tools have been developed to include an Application Programming Interface (API), which allows the machine-to-machine (i.e. automated) sharing of open data [3]. While some proprietary platforms for the management of urban data are currently available, they are extremely costly and very limited in terms of data inputs; to date there are no open source geospatial software tools for the integrated management of various API sources. A key to improving disaster risk management as an element of risk identification is the development of an integrated open source Decision-Support Risk Matrix that enables: 1) automated integration of multiple geospatial and non-geosapatial API sources into a low cost, user-oriented dashboard; 2) backend database and software design for the Risk Matrix that enables data sources to be parameterized and interrogated; 3) the development of an output API stream that allows additional secondary applications to optimize their evaluations and analyses through open access to critical risk information. Jakarta and its surrounding conurbation (Jabodatabek) has the highest rate of urbanization in the world and comprises the second-largest contiguous settlement on earth. With a greater metropolitan area hosting 13 rivers, 1100 kilometers of canals, and over 28 million residents, Jakarta is a key case study for the development of improved risk management through new tools and open software [4]. Risk information and coordination through open data protocols is critical to support decision-making about disaster response, emergency planning, and community resilience. Furthermore, rich suites of open and accessible geospatial risk data generate activity in NGOs and the private sector, especially for longer term planning tools and economic calculators. The development of application-driven data collection via mobile devices allows for unprecedented data collection capacities, but to be effective, these technologies require coordination through open source software. CogniCity is a GeoSocial Intelligence Framework developed by the SMART Infrastructure Facility, University of Wollongong and the emergency management agency of Jakarta (BPBD DKI). CogniCity is a geographical information system that allows collection and visualization of geospatial data on flood alerts (via Twitter) and the use of spatio-topological network models of hydraulic networks. Through its implementation PetaJakarta.org (Map Jakarta), CogniCity has been proven in an operational manner to improve government response to flooding in Jakarta [4]. This paper presents the next version of CogniCity to support an Application Programming Interface (API)-enabled Decision-Support Matrix. The result is an open source platform capable of transforming real-time data about flooding in the city of Jakarta into open, accessible and actionable information by government agencies, NGOs and the public.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
26:28 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2015

Integrating Open Source GIS Software in Undergraduate Curriculum, Research, and Outreach - Recent Experiences at Salisbury University

The Department of Geography at Salisbury University has a long tradition of teaching geographic information science. Until recently, most of the courses and research activities have focused on commercial software offerings. However, the Department has recently integrated Free and Open Source Software for GIS (FOSSG) into it's curriculum, research, and outreach. Curriculum changes included introducing students to FOSSG in traditional GIS courses using QGIS, and allowed the creation of two entirely new courses in Enterprise GIS and GIS Programming using PostGIS, GDAL, and SpatialLite. Through a competitive National Science Foundation (NSF) Research Experience for Undergraduates grant (REU), students participated in cutting edge research projects in parallel processing with Hadoop and spatialHadoop for cluster computer, and CUDA for GPGPU calculation on embarrassingly parallel processes for raster data. Finally, undergraduate interns working in the Department's Eastern Shore Regional GIS Cooperative (ESRGC) developed geodashboards using node.js, PostGIS, and Leaflet, while a special topics course developed a GIS based iphone and Android application used by 4,000 participants in the annual Sea Gull Century bike ride using GeoJSON, Leaflet, and javascript. In addition to highlighting the successes of these activities, this paper will discuss the process we used to make the necessary changes in our curriculum, secure the necessary funding for external projects, and the training approach we used to get our computer science students proficient in programming with FOSSG tools.
  • Published: 2015
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
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