Presentation at Where 2.0 2008 where we discuss our rational for building a NoSQL data store after reaching limitations with the spatial SQL solution that were available at the time.
Paper "Integrating People‐Centric Sensing with
Social Networks – A privacy research agenda" presented at IEEE International Workshop on SECurity and SOCial Networking (SESOC) held with PerCom 2010 in Mannheim, Germany, March 29th, 2010
https://pi1.informatik.uni-mannheim.de/filepool/publications/2010_SeSoc_UrbanSensingPrivacy.pdf
GIS 2.0, The Disaster Cycle, and It's Implications for Humanitarian Knowledge...Joshua Campbell
Presentation given at the Association of American Geographers (AAG) Annual Conference in Washington, DC on 16 April 2010. Discusses the relationship between GIS 2.0 and a conceptual model of the disaster cycle. The goal of which is to help guide the design process of a web-enabled humanitarian knowledge management system.
Presentation at Where 2.0 2008 where we discuss our rational for building a NoSQL data store after reaching limitations with the spatial SQL solution that were available at the time.
Paper "Integrating People‐Centric Sensing with
Social Networks – A privacy research agenda" presented at IEEE International Workshop on SECurity and SOCial Networking (SESOC) held with PerCom 2010 in Mannheim, Germany, March 29th, 2010
https://pi1.informatik.uni-mannheim.de/filepool/publications/2010_SeSoc_UrbanSensingPrivacy.pdf
GIS 2.0, The Disaster Cycle, and It's Implications for Humanitarian Knowledge...Joshua Campbell
Presentation given at the Association of American Geographers (AAG) Annual Conference in Washington, DC on 16 April 2010. Discusses the relationship between GIS 2.0 and a conceptual model of the disaster cycle. The goal of which is to help guide the design process of a web-enabled humanitarian knowledge management system.
Presentation given at Supercomputing 2007 on the progress of data sharing models, specifically highlighting the collision of data grid / data service and Web 2.0 worlds.
Taking it Public: Visualizing Geospatial Data on the Web Using Shinynacis_slides
NACIS 2016 Presentation
Jerry Shannon, University of Georgia
Kyle Walker, Texas Christian University
Julia Connell, University of Georgia
Governmental and non-profit institutions have increasingly created data dashboards based on open datasets to increase transparency and encourage citizen participation. Two limitations have hampered these efforts. First, raw datasets are often complex and difficult to decipher for non-specialists. Second, software to visualize trends within the data is expensive. For several of these systems, tools specifically for geovisualization are underdeveloped. In this presentation, we describe how Shiny, a data visualization system developed by RStudio, provides solutions to both issues. Shiny harnesses a variety of existing tools such as Leaflet, Plotly, and Highcharts, and encourages users to interact and explore datasets. As it runs on the free and open source R software, Shiny's cost is also minimal. We use two case studies to describe how Shiny provides an accessible way to facilitate data exploration for public audiences.
New from Esri Press, the GIS Guide to Public Data by Joseph Kerski and Jill Clark assesses public domain data portals and discusses copyright and accessibility issues.
Presentation given at Supercomputing 2007 on the progress of data sharing models, specifically highlighting the collision of data grid / data service and Web 2.0 worlds.
Taking it Public: Visualizing Geospatial Data on the Web Using Shinynacis_slides
NACIS 2016 Presentation
Jerry Shannon, University of Georgia
Kyle Walker, Texas Christian University
Julia Connell, University of Georgia
Governmental and non-profit institutions have increasingly created data dashboards based on open datasets to increase transparency and encourage citizen participation. Two limitations have hampered these efforts. First, raw datasets are often complex and difficult to decipher for non-specialists. Second, software to visualize trends within the data is expensive. For several of these systems, tools specifically for geovisualization are underdeveloped. In this presentation, we describe how Shiny, a data visualization system developed by RStudio, provides solutions to both issues. Shiny harnesses a variety of existing tools such as Leaflet, Plotly, and Highcharts, and encourages users to interact and explore datasets. As it runs on the free and open source R software, Shiny's cost is also minimal. We use two case studies to describe how Shiny provides an accessible way to facilitate data exploration for public audiences.
New from Esri Press, the GIS Guide to Public Data by Joseph Kerski and Jill Clark assesses public domain data portals and discusses copyright and accessibility issues.
Presenting a new, clear approach to defining neogeography and its various elements, understanding the stakeholders in VGI and researching how volunteered information may benefit users over and above traditional cartography.
Lessons Learned From Neogeography Nc Gis 2009Andrew Turner
Presentation at the 2009 North Carolina GIS Conference, in Raleigh, NC
Discussing the common criticisms GIS users have with the concept of neogeography, but are actually reflective of their own issues, and how neogeography is developing solutions that can apply back to GIS, geography, and cartography.
Coerced Geographic Information: The Not-so-voluntary Side of User-generated G...Grant McKenzie
Presented by Grant McKenzie at GIScience 2014 in Vienna, Austria. Extended Abstract research paper by Grant McKenzie and Krzysztof Janowicz.
Paper: http://grantmckenzie.com/academics/McKenzie_CoGI.pdf
An Exploration of Volunteered Geographic Information stakeholdersChristopher J. Parker
Volunteered Geographic Information (VGI) has huge potential for influencing the use of geographic information systems. However, there is a wide range of individuals involved in this process, each with their own motivations for contributing and using volunteered data. This paper investigates the range of stakeholders involved with VGI, their relationships and the main tensions and issues involved. The research was based on a series of detailed interviews and theory-driven coding of data. From this, a Rich Picture (Monk, Howard 1998) was developed to graphically present and relate stakeholder relationship information. The findings have implications for how stakeholder groups may be described, and how VGI can lead to enhanced products and services.
PARKER, C.J., 2010. An Exploration of Volunteered Geographic Information Stakeholders, M. HAKLAY, J. MORLEY and H. RAHEMTULLA, eds. In: Proceedings of the GIS Research UK 18th Annual Conference, 14-16 April 2010 2010, UCL pp137-142.
Similar to AAG GeoWeb/SDI - The GIS Caste System (20)
2009 AAG presentation for the "Is Google Good for Geography?" session.
Can the GeoWeb Get the Public to Care about Geography? The Positive Externalities of a Web Enabled Ecosystem
1. Geoenabling the Masses: Practical Lessons from the Field Bringing Geography to the Burakumin AAG 2010 , Washington DC Convergence in the GeoWeb: Volunteered geographic information, spatial data infrastructures, and public participation GIS II Sean P. Gorman PhD. FortiusOne
3. GIS Caste System Spatial Data Infrastructures For GIS Professionals Public Participation GIS Professionals + Burakumin Volunteered Geographic Information Just the Burakumin
43. 2008 2009 2010 Total Registered Users 3,084 10,433 12,563 Total Datasets 7,256 15,922 25,651 Total Dataset Downloads 258,102 1,024,707 1,286,333
44. 36.4 % downloaded as CSV 60.2 % downloaded as KML 3.4 % downloaded as Shapefile (based on the most recent 262,758 downloads/ since Sept 21, 2009) Data Demographics
45. Sean Gorman, CEO and Founder [email_address] 703.647.2151 Thank You!
Editor's Notes
Make the tool come to the user, not the other way around. Technology is powerful and should do most of the heavy lifting for you.
Data that is in a system isn’t useful if you can’t find it – or if it’s on some other system. GeoIQ Enterprise can search and retrieve data from other appliances, GeoCommons Community, or hundreds of other data repositories. Don’t keep all your data in a centralized system – but push it to all your centers and provide it at your users fingertips
Simply putting dots on a map – where are my stores? Where are my customers?