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Washington Geospatial Data Archive WAGDA 2.0 Project

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Presentation on theme: "Washington Geospatial Data Archive WAGDA 2.0 Project"— Presentation transcript:

1 Washington Geospatial Data Archive WAGDA 2.0 Project
University of Washington Libraries

2 Agenda WAGDA 2.0 Motivation/Background WAGDA 2.0 Technical Overview
Use Cases/Demo Stories/Prototypes Review of Survey Results

3 Background and motivation
WAGDA started in mid 1990’s to provide more convenient access to geospatial data needed for teaching/learning .zip file packages, served via http and/or ftp metadata and discovery not well integrated doesn’t really provide a systematic foundation for broader data sharing, archiving, data management Pre-WAGDA, you had to contact data providers like City of Seattle or the Counties individually to get data of interest.

4 Convergences Work on NSF DataNet proposal (not funded) helped raise Libraries’ interest in data services Articulated need for easier ways to discover and share geospatial data Willingness of faculty and researchers in Geography, Oceanography, APL to help us UCGIS interest in “enterprise GIS” Interest in data sharing from potential external partners DataNet: NSF program to address data preservation and access issues; cross-domain data sharing, 5 awards to $20M each over 5 years

5 Project Goals Near term: improve discovery and access to existing WAGDA data Load existing WAGDA data into geodatabase Provide access via web services and direct db connection (as appropriate) Load metadata for this data into geoportal Medium term: begin to accept data from other campus entities Longer term: expand pool of data providers beyond campus

6 Startup Activities Prototyping environment using ArcGIS Server and geoportal extension Geography 469 capstone project: develop geodatabase around a coastal zone model Test data loaded from WAGDA, PSNERP, SSHIAP Expose test data via direct geodb connections, web services Begin to identify gaps in functionality Engage ESRI professional services PSNERP: Puget Sound Nearshore Ecosystem Recovery Project SSHIAP: Salmon/Steelhead Habitat Inventory and Analysis Project

7 Systems Overview - Roles
The technical stuff: what is the library doing? How are users accessing data? How is data from writers/providers getting to us. This slide contains a placeholder graphic.

8 System Overview - Design
Briefly restate roles and data flows Ask if any questions about architecture

9 Systems Components Data Storage using PostgreSQL & ArcSDE
Metadata hosting using ArcGIS Server & Geoportal Data discovery and dissemination using ArcGIS Server Services & GeoPortal All the data services available in ArcGIS Which services have been chosen so far Are they the appropriate services? Insert candy-like visualization diagrams from ESRI

10 WAGDA Data Loading Physical hand off of data, loaded by library staff
City of Seattle NAIP Aerial imagery Direct database replication CSDE (Census Summary Files) Non-university organizations Operations (Operations, Capital Projects Office, etc.) How we get data from other entities, and how we expect to in the future Data provider is authoritative source; releases only data/metadata that is to be shared more broadly We can enforce some access controls (e.g., UW Campus only) Will be able to do archiving, so previous versions of data set remain accessible

11 User Data Discovery GeoPortal – wagda.lib.washington.edu/geoportal
Diagram of different connection methods.

12 Web Feature Service/Web Coverage Service
User Data Access Data Access Multiple Services (currently in development) ● supported - ○ unverified - (blank) not supported - (grey) not preferred Function Direct Connection Geodata Service Image Service Web Feature Service/Web Coverage Service Web Mapping Service Geoportal Fast data view Remote data analysis Complete and ready metadata Geodatabase versions Exportable data Interoperability Modifiable access permission Replication/Editing Diagram of different connection methods. Much of our work over the next few weeks will be to nail down which access methods are most appropriate for which tasks and to clarify limitations of each method. ESRI will help us here.

13 Use Cases WAGDA 2.0 customers – campus segments Teaching Research
UW Operations

14 Teaching – Calculate NDVI using ArcGIS 9
WAGDA 1.0 WAGDA 2.0 Navigate WAGDA Connect to ArcSDEGeodatabase Download zipped index file Navigate to NAIP 4-band imagery Unzip index file Add to ArcMap Load into ArcMAP Identify image tile(s) request to WAGDA Time: 2 minutes Download imagery from temporary FTP site Unzip imagery Load imagery into ArcMap Calculate NDVI Time: 5 minutes plus response time (longer if after hours!) This slide relies on being able to access the GeoPortal through ArcCatalog. Perhaps a handout with a pros and cons of each connection method. What will the ESRI consultant say?

15 Teaching – Calculate NDVI
Connect Perform Analysis

16 Research – Changes in Population Density using ArcGIS 9
WAGDA 1.0 WAGDA 2.0 Navigate WAGDA Connect to ArcSDEGeodatabase Download Census data Navigate to Census feature class request to WAGDA Calculate Population Density (common variables pre-joined. Specific variables require more user input) Download historic Census data from WAGDA Unzip all Census data Identify tables of interest in data dictionary Time: 15 minutes Load Census data into ArcMap Join geometry to tables Calculate Population Density Time: 2 hours This slide relies on being able to access the GeoPortal through ArcCatalog. Perhaps a handout with a pros and cons of each connection method. What will the ESRI consultant say?

17 Research – Changes in Population Density
1970 1980 1990 2000

18 UW Operations – Mapping UW Buildings using ArcGIS 9
WAGDA 1.0 WAGDA 2.0 Building data does not currently exist on WAGDA 1.0 Contact various UW Operations departments for owner of needed data (UW Operations receives many requests for building data) Connect to ArcSDEGeodatabase Connect to WAGDA using the geodatabase service (or WFS) serving an archived dataset. The data will be updated on an agreed schedule. Receive from UW Operations Load building data into ArcMap Make map of UW buildings Time: ? Time: Not possible DRAFT This slide relies on being able to access the GeoPortal through ArcCatalog. Perhaps a handout with a pros and cons of each connection method. What will the ESRI consultant say?

19 Survey results 16 respondents (9 use spatial data in teaching) How do you currently address data dissemination? Total respondents to survey – 16 Data dissemination for teaching = blue Data dissemination for federally funded research = orange “Upon request” methods included internet, on disc, from a local archive Those who selected “Other” did not detail actual method of dissemination (remove?)

20 Personal/file geodatabases
Survey results How would you prefer to access data? Instruction Research File download 4.2 3.94 Personal/file geodatabases 4.67 4.06 SDE service 4.22 SDE direct 3.33 4.13 OGC web services 3.0 3.31 Local access 3.56 Preferred method for instruction was definitely personal/file geodatabases with all respondents marking preferred or highly preferred. With such low response rate can’t really make any hard and fast conclusions between the two groups, except perhaps that OGC web services is the least preferred for both Instruction & Research.

21 Survey results Top 5 Data Formats Currently Used Instruction Research
Bottom 6 Shapefile ISFC (ImageStation Feat. Coll.) File Geodatabase ESRI Grid ECW (Enhanced Compressed Wavelet) FileGeodatabase GML (Geog. Markup Lang.) ASCII Geomedia (InterGraph) GeoReferenced Image Files IMG (ERDAS Imagine) DXF (Drawing Interchange Format) USGS DEM (Digital Elevation Model) Mapinfo TAB files Quite a bit of similarity between Instruction & Research (at least in top 4) There was a tie in Instruction on the last three, that’s why there’s six. Same thing with Bottom 6 and the last two. Nobody responded that they used ISFC.

22 Timeline Alpha testing in Autumn Quarter
Working beta version for Winter Quarter Scale up for production resources permitting

23 Discussion and next steps
Students to provide feedback Providing metadata and/or data? Volunteers, ideas for testing? Helping with technical direction/participation?

24 Thank you! Contacts: Bill Jordan bjordan@uw.edu
Matt Parsons Tim Nyerges


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