VISUALISATION AND ANALYSIS OPPORTUNITIES FOR INFORMATION ON URBAN INDICATORS: THE EXPERIENCE OF THE CHILEAN URBAN OBSERVATORY Cesar Medina MoralesNicols Romero lvarezThe International Network for Urban and Regional Statistics Standing Committee of the International Association for Official Statistics

Indicators

Visualisation tools: Urban Observatory Maps

Platform Flexibility

Technological aspects

Opportunities and ChallengesGeneral contents

Indicators - 223 municipalities with more than 5,000 urban inhabitantsRegionMunicipalitiesCitiesBlocks

Data SourcesPublic 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

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

Visualisation tools: Urban Observatory MapsBlock maps:Less indicator availability / more territorial precisionComplement possible bias or misrepresentation of municipal indicators (in the case of census variables)The teenage pregnancy rate in the municipality of Valparaso is more precisely distributed and located on the territory when data is limited to the census block levelImage 2: Municipality of Valparaso, Teenage pregnancy.

Visualization tools: Urban Observatory MapsGeo-referenced information system (GeoMINVU)Was created to provide territorial information on public sector investment, particularly MINVUProvides further visualisation flexibility with spatial co-representation: Allows indicators at census blocks level to be visualised simultaneously with the spatial distribution of public investmentsStrengthens territorial diagnosisThe image shows housing and pavement projects in the city of Chilln. 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

Graphic User interface

Administrative Interface

Different Data Formats

Platform Flexibility

Technology

Although public sector and MINVU demand is still not high, these tools may:Improve public informationProvide a centralised system with decentralised administrationImprove information sharing among Public Agencies by the inter-connection of internal systems of each institutionOpportunities