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Global Healthy and Sustainable City Indicators instructional videos

RMIT University, Australia
Carl Higgs (Aggregated by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25439/rmt.23742009.v1&rft.title=Global Healthy and Sustainable City Indicators instructional videos&rft.identifier=https://doi.org/10.25439/rmt.23742009.v1&rft.publisher=RMIT University, Australia&rft.description=A series of instructional videos for the Global Healthy and Sustainable City Indicators software, describing how users can configure, create and share urban indicators for their city or region using the open source Global Healthy and Sustainable City Indicators tool, designed to support participation in the 1000 Cities Challenge of the Global Observatory of Healthy and Sustainable Cities.   The software can be configured to calculate and report on policy and spatial indicators for healthy and sustainable cities in diverse contexts globally. The core set of spatial indicators are calculated for point locations, a small area grid (e.g. 100m), and overall city estimates. Optionally, indicators can also be calculated for custom areas, like administrative boundaries or specific neighbourhoods of interest. In addition CSV files containing indicators for area summaries and the overall city are also generated, omitting geometry. Metadata and data dictionaries are generated to accompany the data, along with reports in multiple languages.  It is envisaged that the series of videos explaining the software's usage will be updated and expanded upon over time.&rft.creator=Carl Higgs&rft.date=2023&rft_rights=CC-BY-4.0&rft_subject=urban&rft_subject=planning&rft_subject=health&rft_subject=indicators&rft_subject=spatial&rft_subject=policy&rft_subject=data&rft_subject=reporting&rft_subject=multilingual&rft_subject=translation&rft_subject=global&rft_subject=SDG&rft_subject=sustainability&rft_subject=sustainable development&rft_subject=liveability&rft_subject=infrastructure&rft_subject=accessibility&rft_subject=network analysis&rft_subject=spatial analysis&rft_subject=transportation&rft_subject=density&rft_subject=public open space&rft_subject=public transport&rft_subject=food&rft_subject=environment&rft_subject=geopackage&rft_subject=metadata&rft_subject=Urban planning and health&rft_subject=Urban informatics&rft_subject=Urban analysis and development&rft_subject=Strategic, metropolitan and regional planning&rft_subject=Transport planning&rft_subject=Regulatory planning and development assessment&rft_subject=Regional analysis and development&rft_subject=Public participation and community engagement&rft_subject=Land use and environmental planning&rft_subject=Community planning&rft_subject=Urban design&rft_subject=Environmental assessment and monitoring&rft_subject=Human impacts of climate change and human adaptation&rft_subject=Digital and electronic media art&rft_subject=Data engineering and data science&rft_subject=Data quality&rft_subject=Spatial data and applications&rft_subject=Applications in health&rft_subject=Collaborative and social computing&rft_subject=Fairness, accountability, transparency, trust and ethics of computer systems&rft_subject=Information visualisation&rft_subject=Accessible computing&rft.type=dataset&rft.language=English Access the data
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A series of instructional videos for the Global Healthy and Sustainable City Indicators software, describing how users can configure, create and share urban indicators for their city or region using the open source Global Healthy and Sustainable City Indicators tool, designed to support participation in the 1000 Cities Challenge of the Global Observatory of Healthy and Sustainable Cities.  

The software can be configured to calculate and report on policy and spatial indicators for healthy and sustainable cities in diverse contexts globally. The core set of spatial indicators are calculated for point locations, a small area grid (e.g. 100m), and overall city estimates. Optionally, indicators can also be calculated for custom areas, like administrative boundaries or specific neighbourhoods of interest. In addition CSV files containing indicators for area summaries and the overall city are also generated, omitting geometry. Metadata and data dictionaries are generated to accompany the data, along with reports in multiple languages. 

It is envisaged that the series of videos explaining the software's usage will be updated and expanded upon over time.

Issued: 2023-07-26

Created: 2023-07-26

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Accessible computing | Applications in health | Collaborative and social computing | Community planning | Data engineering and data science | Data quality | Digital and electronic media art | Environmental assessment and monitoring | Fairness, accountability, transparency, trust and ethics of computer systems | Human impacts of climate change and human adaptation | Information visualisation | Land use and environmental planning | Public participation and community engagement | Regional analysis and development | Regulatory planning and development assessment | SDG | Spatial data and applications | Strategic, metropolitan and regional planning | Transport planning | Urban analysis and development | Urban design | Urban informatics | Urban planning and health | accessibility | data | density | environment | food | geopackage | global | health | indicators | infrastructure | liveability | metadata | multilingual | network analysis | planning | policy | public open space | public transport | reporting | spatial | spatial analysis | sustainability | sustainable development | translation | transportation | urban |

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