energy saving trust - esri uk annual conference 2016
TRANSCRIPT
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Home Analytics Devon:Using ArcMap and ArcGIS Online to drive energy efficiency
17 May 2016
Sean LemonLead Consultant (Energy Saving Trust)
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Agenda• Who we are and what we do
• Devon case study
• What were the main challenges?
• How did we overcome these challenges?
• Demonstration
• Key learnings and next steps
Home Analytics Devon17 May 2016
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Energy Saving Trust
Home Analytics Devon17 May 2016
• Mission: Helping everyone save energy every day
• Work with a variety of public and private sector stakeholders
• Core sectors:
• Energy efficiency
• Renewable energy
• Fuel poverty
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Case Study
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Case Study: Devon
Home Analytics Devon17 May 2016
• Client: Devon County Council and 8 District Councils, Plymouth and Torbay
• Project: Modelling and mapping of Energy Performance Certificate (EPC) data
• Timeframe: Apr 2015 – Feb 2016
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Home Analytics Devon
Home Analytics Devon17 May 2016
Purpose: • Quantify potential for energy efficiency
measures
• Target homes for retrofit schemes
• Aid funding application submissions
• Inform housing, energy and fuel poverty strategies
Phase 1: Create an address-level housing stock database
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Home Analytics Devon
Home Analytics Devon17 May 2016
Purpose: • Perform quick and useful queries
• Produce maps for funding applications, reports, etc.
• Allow non-technical users to explore the data
• Reduce reliance on internal GIS teams
Phase 2: Create an online mapping platform to visualise the data
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The project plan
Home Analytics Devon17 May 2016
1 2 3 4
Data Collection Data Modelling Database Production Data Visualisation
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Where does GIS fit in?
Home Analytics Devon17 May 2016
1 2 3 4
Data Collection Data Modelling Database Production Data Visualisation
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MainChallenges
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Data modelling
Home Analytics Devon17 May 2016
Requirements: • Inputs: OS Master Map and OS
Address Base Plus
• Replicable for all of GB (27M homes)
• For each address, determine property type, block ID, distance to gas grid and building footprint
Challenge: Develop a spatial model to determine key property variables
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Data visualisation
Home Analytics Devon17 May 2016
Requirements: • Allow users to conduct quick and useful
queries on the database
• Visualise 10-15 layers of building characteristics at the address level
• Low annual costs (license fees, hosting)
• Run on various browsers
Challenge: Create a high performance web app with minimal on-going costs
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OvercomingChallenges
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Data modelling
Home Analytics Devon17 May 2016
Solution: • Provided model logic to Esri UK
• They coded the assumptions into ArcMap and developed an ArcPython script to:
• Pre-process OS layers
• Apply logic and export results to CSV
• Loop through all grid squares in GB
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Data visualisation
Home Analytics Devon17 May 2016
Solution: • Hosted workshops with LA users to
prioritise functional requirements
• Collected information on their software and browser technology
• Researched various platforms for web mapping
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Esri Maps 4 Cognos (EM4C)
Home Analytics Devon17 May 2016
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Google Fusion Tables
Home Analytics Devon17 May 2016
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QGIS2Leaf, CartdoDB and Mapbox Studio
Home Analytics Devon17 May 2016
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ArcGIS Online
Home Analytics Devon17 May 2016
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What did we find?
Home Analytics Devon17 May 2016
• Many options for building, styling and hosting web maps
• Map rendering depends on type of map service
• Open-source options have limitations:
• Browser compatibility
• Requires web development skillset
• High hosting charges
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Final solution
Home Analytics Devon17 May 2016
ArcMap• Building polygons symbolised by
property characteristics
• Visibility thresholds aligned with visibility of OS base layer
• Map layers and tile schemes used to generate map tile packages
• Packages uploaded to AGOL
ArcGIS Online• Layers combined into a single map
• Tile layers ‘buddied up’ with feature service layer
• Web AppBuilder used to add widgets and functionality
• Final web app shared with users via Devon user group
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Demonstrationhttps://www.youtube.com/watch?v=Yd2868s_8_0
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Lessons Learned
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Lessons learned
Home Analytics Devon17 May 2016
• ModelBuilder and ArcPython are effective tools for automating tasks in ArcMap
• Open source web mapping options exist but beware other costs and constraints
• Tile caches are an effective way to render large datasets
• “Buddying up” a feature and tile service allows you to mimic vector tiles
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Lessons learned
Home Analytics Devon17 May 2016
• If you have an ArcGIS desktop license, then you’re also entitled to an ArcGIS Online account
• Web AppBuilder has a considerable amount of out-of-the-box functionality
• Esri cloud hosting is a cost-effective way to host large web map services
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Next steps
Home Analytics Devon17 May 2016
• Southend-on-Sea Borough Council:
• Bringing housing, energy and health data together in web maps
• Scotland Data Hub:
• Making EPC data openly available
• ArcMap – used to build tile packages
• ArcGIS Online – used to build web apps to help users engage with the data