1. VISUALISATION AND ANALYSIS OPPORTUNITIES FOR INFORMATION ON URBAN INDICATORS: THE EXPERIENCE OF THE CHILEAN URBAN OBSERVATORY Cesar Medina Morales Nicolás Romero Álvarez The International Network for Urban and Regional Statistics Standing Committee of the International Association for Official Statistics

2. Indicators Visualisation tools: Urban Observatory Maps Platform Flexibility Technological aspects Opportunities and Challenges General contents

3. Indicators - 223 municipalities with more than 5,000 urban inhabitants – Region – Municipalities – Cities – Blocks Data Sources – Public Agencies: MINVU, INE, MIDEPLAN, SINIM Territorial visualisation levels (maps) – Municipalities: 11 thematic areas (annual) – Block: 3 thematic areas (census data, updated every 10 years) Indicators

4. Visualization tools: Urban Observatory Maps Municipal: – More indicators available / lower territorial precision: scale may introduce a false impression of the realities at a more local level – Faster identification of the distribution of municipal data values on the territory as well as territorial differences among municipalities Image 1: “Percentage of residents with a university degree.” The municipal map reveals that as one heads East from the municipality of Santiago (municipalities of Ñuñoa, Providencia, Las Condes), a greater number of residents possess university degrees, with percentages of up to 43% of the population

5. Visualisation tools: Urban Observatory Maps Block maps: – Less indicator availability / more territorial precision – Complement possible bias or misrepresentation of municipal indicators (in the case of census variables) The teenage pregnancy rate in the municipality of Valparaíso is more precisely distributed and located on the territory when data is limited to the census block level Image 2: Municipality of Valparaíso, “Teenage pregnancy.”

6. Visualization tools: Urban Observatory Maps Geo-referenced information system (GeoMINVU) – Was created to provide territorial information on public sector investment, particularly MINVU – Provides further visualisation flexibility with spatial co-representation: Allows indicators at census blocks level to be visualised simultaneously with the spatial distribution of public investments – Strengthens territorial diagnosis The image shows housing and pavement projects in the city of Chillán. It also displays the distribution of the most vulnerable population (dark blue). As may be observed, this population is located near housing and pavement projects

7. Platform Flexibility Graphic User interface Administrative Interface Different Data Formats

8. Technology

9. Opportunities Although public sector and MINVU demand is still not high, these tools may: – Improve public information – Provide a centralised system with decentralised administration – Improve information sharing among Public Agencies by the inter-connection of internal systems of each institution