The Migration Enterprise Group Garrett Gabriel, Juana Hernandez, Loc Tran

The “Vision 2010” strategic plan◦ Libraries seek to serve information needs and facilitate

exchanges of knowledge for the universities and the region’s communities

Bill Jordan, University of Washington Libraries ◦ Associate Dean for Information Technology Services

Washington Geospatial Data Archive

Puget Sound Nearshore Ecological Restoration Project

Develop Conceptual Data Model into a geodatabase◦ Represents the real world natural and human processes

Having data on WAGDA be more user-friendly, efficient and accessible.

Recent model on WAGDA is on a file-base system and is not user-friendly with various departments on campus

Migration of the current file-based WAGDA to an enterprise GIS technology based ESRI ArcGIS Server

WAGDA is currently restricted to current UW students, faculty, and staff

Devise a conceptual data model ◦ Focus, utility, and reason for data sharing

“Roadmap” for the migration process to enterprise management system

Construct an ArcGIS Enterprise prototype environment◦ Include data from WAGDA & various sources

1. Data Design• Conceptual– Urban/County; Nearshore; Coastal Zone

Management conceptual models

• Assessment/Inventory • Sources – WAGDA, PSNERP, other UW and non-UW• Geographic Area• Feature Descriptions• Metadata status

Substantial Process

Description Sub-processes

Land Use Dynamic and static human processes and modifications to the environment.

Concrete and abstract entities.

Administrative Property

Community Transportation

Nearshore Utilities

Planning

Natural Environment

Natural processes which constitute land and water features from the shorezone area, nearshore, and uplands.

Drainage Hydrology

Geomorphology Nearshore

Habitat Shorezone

• Logical and Organizational• Integrating human & natural processes in Puget Sound

Coastal Zone• Sample and schema of features with various structures• Organizing by geographic area – feature datasets

2. Systems Hardware

◦ Dell PowerEdge R410 Rack Server, 16 GB of RAM1 TB Hard Drive Software

◦ Red Hat Enterprise Linux◦ PostgreSQL 8.3 - RDBMS◦ ArcGIS Server: Enterprise Edition◦ ArcSDE: Enterprise version

Systems configuration and administration by Michalis Avraam and Ryan Burns (GEOG graduate students)

SDE Server: gis.geog.washington.edu

3. Data Management • Prepare for data – attribute domains, feature data sets• Import data• naming conventions• versioning and archiving• Potential for feature class integration, replication, data

interoperability

4. Migration Roadmap – Integration of each major process

DescriptionCode

DescriptionCode

DescriptionCode

DescriptionCode

DescriptionCode

DescriptionCode

Feature DatasetKing County

Polygon feature class admin_city_king

Point feature class

admin_schools_king

Polygon feature class

enviro_wetlands_king

Line feature class

hydro_streams_king

Polygon feature class

hydro_topo_watershed_kc_area

Polygon feature class

planning_shorelinemmp

SDE Database View – gis.geog.washington.edu

Polygon feature class

property_parcel_king

Line feature class

transportation_road_network_king

Line feature class

utility_sewer_line

Polygon feature class

admin_cities_pierce

Point feature class

admin_schools_pierce

Polygon feature class

enviro_erosion_pierce

Line feature class

hydro_streams_pierce

Line feature class

planning_urbangrowth_pierce

Polygon feature class

property_parcels_pierce

Point feature class

recreatn_park_points_pierce

Line feature class

trans_road_network_pierce

Feature DatasetPierce County

Feature DatasetPuget Sound Coastal Zone

Line feature class

armoring

Line feature class

breakwaters_jetties

Line feature class

drift_cells

Line feature class

geomorph_kitsap

Polygon feature class

GSUs

Polygon feature class

hydro_wria_shoreline

Polygon feature class

nearshore_fill

Complex edge feature class

NHDFlowline

Subtypes are ArtificialPath, Pipeline, Shoreline, StreamRiver, CanalDitch, Connector, Coastline

Line feature class

shoreform_change

Line feature class

shoreline_current

Line feature class

tidal_barriers

wetlands_current

Polygon feature class

wetlands_historic

Relationship classParcelAttribute

Relationship classPresentUse

Table

property_king_landuse_present

Table

property_king_parcel_extr

PSDEM

Raster Dataset

NAIP_09

Raster Catalog

Coded value domainDAU

Coded value domainFlowDirection

Coded value domainEnabledDomain

Coded value domainHydroFlowDirections

Coded value domainResolution

Coded value domainArtificialPath FCode

Polygon feature class

Cost Reduction◦ Achieved through reduction or elimination of redundant activities◦ Improvement in maintenance

Reduction in labor cost◦ ArcGIS Enterprise server will do the labor automatically

Addressing unpredictable events with data availability and efficiency

Intangible Benefits◦ Reduction of tedious functions, improved workforce morale, and

higher self-esteem for employees

Difference between typical enterprise GIS organizations and archival organizations

Successful modeling of migration on small scale – critical step for large scale implementation

Comprehensive planning for migrating and hosting extensive imagery data

Geodatabase configurations - multiple?

Geoportal – expanding access to users and other GIS platforms