Integrating Controlled Content with Weave Visualizations David Percy

Integrating Controlled Content with Weave Visualizations David Percy Geospatial Data Manager PSU Institute for Metropolitan Studies NNIP 2011 Spring- Detroit I would have written a shorter letter, but I did not have the time. - Blaise Pascal

Greater Portland Vancouver Indicators Regional Equity Atlas PSU Data Commons Ecodistricts Assessment Tools Other, including Teaching and Research

Data Architecture Geometries: Attribute data: Census Tract Geom_ID Zip code Attribute_1 Neighborhood, Attribute_2 Etc… Attribute_N Each with a unique geometry id Examples: poverty, education, etc

Controlled Content • Ability to have a pre-defined set of fields that are filled in for a TYPE of content page. • In this case I defined an Indicators Type of page with a specific set of fields that come from our Indictor Sheets, which are also used for outreach.

The magic incantation • <iframe src="https: //arctest. research. pdx. edu/weav e/weave. html? defaults=cost_burdened_ho using. xml" width="100%" height="800"></iframe>

Taxonomies • Hierarchical lists of terms related in some way • Used as “Tags” to categorize content • Common examples: Linnaean biological systems, Dewey Decimal, etc • Cf. Ontologies

Eight Categories • No surprises here: – Access and Mobility – Arts and Culture – Civic Engagement – Economic Opportunity – Education – Healthy Natural Environment – Healthy People – Housing and Communities – Safe People

Cross-cutting relationships • Hexagonal tesselations • Indicators can fit in multiple categories

Modular Weave visualizations • Each indicator visualization is created in Weave without “decoration”, no text description • This allows the visualization to be used in multiple pages or applications • Explanation of data is left to the containing page.

Web Services • In order to share data with participating agencies, we use Open Geospatial Consortium (OGC) web services. • WMS and WFS are the winners • That’s a whole ‘nuther talk! • Thanks!