Great Lakes Mapping Mash ups David Hart Wisconsin Sea Grant Cindy Hagley Minnesota Sea Grant Great Lakes Mapping Webinar #2 Conservation Ontario Friday, January 21, 2011
Goals Webinar #1 The goals of the first webinar are to: provide an overview of the Great Lakes Observing System; explore what is possible related to integration of Great Lakes maps and data; prompt thinking about data-driven decision- and, making for the Great Lakes; assess the need for decision-support tools related to management of the Great Lakes. Monday, January 10, 2011 10:00 to 11:30am EST
Agenda Webinar #1 Welcome - What we will cover and what we hope to get from you (15 min) What is GLOS? (9 min) Demo #1: Planning a Great Lakes fishing trip (12 min) Demo #2: Social media for Great Lakes data/decision-support tool discovery (13 min) Demo #3: Lake Superior Streams (19 min) Discussion: What data and tools do you need to make decisions? (17 min)
Premise Webinar #2 More and more you don t have to be a computer geek to develop web mapping applications In order to make this work in the Great Lakes, we need Ideas Case studies of innovative decision- support tools Technology Web map pping APIs and desktop software clients make data integration easier Data Discovery of Gre eat Lakes data is still a challenge A sandbox A place to test ideas
Agenda Webinar #2 Recap of webinar #1 (5 min) What is a mashup? (5 min) Mapping mashup tools (10 min) Accessing Great Lakes maps and data (10 min) Demo: Data integrationn using Scribble Maps (50 min) Discussion and evaluation (10 min)
http://www.greatlakesmashups.net/ontario/
Webinar #1 Recap
Discussion: What We Learned What type of decisions i do you make? integrated watershed management, flood forecasting, shore erosion, low water response, sediment management, sensitive habitats, sewer flow monitoring, climate adaptation, ti recreation What information sources do you currently rely on? nearshore data (bathymetry, substrate), topography, radar, flood boundaries, littoral cells, fish habitat, sewer flow monitoring i data,
What is a mashup?
What is a mashup? Music Mashups Beatles, The White Album (1968) Jay-Z, The Black Album (2003) Danger Mouse, The Grey Album (2004) Wikipedia definitions Mashup (digital), a digital media file containing any or all of text, t graphics, audio, video, and animation, which recombines and modifies existing digital works to create a deriva ative work. Mashup (web application hybrid), a web application that combines data and/or functionality from more than one source
Mashup Example - HousingMaps The first mapping mashup? Craigslist + Google Maps Helped influence Google to open up its mapping API http://neworleans.craigslist.org/ http://www.housingmaps.com/
Mashup Example In My Backyard http://mercator.nrel..gov/imby/
Monday Mashup GL Echo http://greatlakesecho.org/
Mapping Mashup Gallery http://urpl590mashups.wordpress.com/
Exploring Mapping Mashups http:// /www.programmableweb.com/
Mapping Mashup Tools
Data Integration Resources Virtual Globes Google Earth, ArcGIS Explorer, NASA WorldWind Mapping Services & Ap pp Programming Interfaces Google Maps, Yahoo Maps Open Source Desktop GIS Clients Quantum GIS, gvsig Commercial Desktop GIS Clients ArcGIS Web Browser Clients National Map v.2, nowco oast Handout: Mapping Mashup/ /Data Integration Resources
Mapping Mashup Tools Google Earth QGIS ScribbleMaps Google Maps My Maps GeoCommons ESRI ArcGIS On-Line National Map Viewer 2.0
Google Maps My Maps http://maps.google.com/
Ge eocommons http://www.geocommons.com/
ESRI ArcGIS Online http://www.arcgis.com/ com/
N ti l M Vi National Map Viewer http://viewer.nationalmap.gov/viewer/
Profiled Mashup Tools Google Earth Strengths: intuitive, KML Weaknesses: thick client, licensing, poor WMS import Quantum GIS Strengths: leading open source client, good w/ interoperable web service es, spatial analysis Weaknesses: thick client, less intuitive Scribble Maps std., create data bundles Strengths: data creation/sharing, browser-based, Weaknesses: no web services, poor w/ large KML files
Finding Great Lakes Data
How I Find Geospatial Data Search government geospatial clearinghouses Visit the GIS home page Explore the GIS data page at university libraries Explore GIS data links compiled by data hounds Celebrate the emergencee of Open Data Catalogs Search for geo-catalog implementations Use advanced Google se earches (filetype:kml) Employ social bookmarking at data-rich agencies Attend conference presentations and posters
Geospatial Clearinghouses GeoConnections http://www.geoconnections.ca/ GeoBase http://www.geobase.ca/ GeoGratis, Natural Reso ources Canada http://geogratis.cgdi.gc.ca/ Ontario Geospatial Data Information Ontario http://www.mnr.gov.on.ca/ /en/business/lio/index.html /B /LIO/i Great Lakes Information http://gis.glin.net/ Exchange, Land Network GIS
http://www.geoconnections.ca/
http://gis.glin.net/
Canadian Academicc Libraries University of Toronto Map and Data Library GIS Data at the UT MDL http://mdl.library.utoronto.ca/ library Carleton University Library Geospatial Resources http://www.library.carleton.ca/gis/ University of Waterloo Library Canadian and Global Geospatial Data http://www.lib.uwaterloo.ca/discipline/cartography/gis/data.html University of Guelph Library Geospatial Data Resources http://www.lib.uoguelph.ca/res l h / sources/data_resource_centre/geos t / patial_data_resources/
http://maps.chass.utoronto.ca/cgi-bin/all.pl
Open Data Movement Vancouver Open Data Catalogue http://data.vancouver.ca/ Toronto http://www.toronto.ca/opetoronto n/catalogue.htm Hamilton http://www.hamilton.ca/pr h /ProjectsInitiatives/OpenData/ i i / Ottawa http://www.ottawa.ca/online_services/opendata/ Edmonton http://data.edmonton.ca/
http://data.vancouver.ca/
Google Earth KML Sources
Making Mashups Technologies Google Earth (earth.google.com) Quantum GIS (qgis.org) Scribble Maps (scribblemaps.com)