Smart Urban GIS Systems Training Course

Participants can select coordinate systems and document spatial data for reliable urban analysis.

• Coordinate reference systems, datums, projections, and urban measurement distortions
• Select projected coordinate systems for local distance and area analysis
• Reproject vector and raster layers without introducing coordinate misalignment
• Vertical datums and elevation units used in flood and drainage mapping
• Georeference legacy plans using control points and residual error assessment
• Document spatial metadata using ISO 19115 core elements

Participants can establish data models and quality controls for municipal spatial datasets.

• Data quality dimensions: positional, attribute, temporal, completeness, logical consistency
• Define feature classes, domains, subtypes, and unique identifiers
• Topology rules for parcels, roads, utility networks, and administrative boundaries
• Validate geometry with self-intersection, gap, overlap, and duplicate checks
• Build data dictionaries with field definitions, formats, ownership, and update cycles
• Apply ISO 19157 quality measures to municipal spatial datasets

Participants can source, capture and govern urban GIS data through its lifecycle.

• Source authoritative basemaps, cadastral records, addresses, and infrastructure inventories
• Assess open data licences, update frequency, lineage, and redistribution conditions
• Field collection workflows using mobile forms, GNSS, photographs, and validation rules
• Digitise assets from engineering drawings, imagery, and surveyed coordinates
• Conflate duplicate road and address records using match rules
• Plan data stewardship roles for creation, approval, publication, and retirement

Participants can derive and assess imagery-based indicators for urban change and land cover.

• Raster resolution, spectral bands, radiometric values, and resampling choices
• Orthorectified imagery and positional accuracy for urban feature extraction
• Calculate NDVI and impervious-surface indicators from multispectral imagery
• Classify land cover using supervised training samples and confusion matrices
• Detect construction change through image differencing and time-series comparison
• Assess classification accuracy with reference samples, precision, and recall

Participants can design spatial databases and queries for urban assets, events and observations.

• PostGIS schema design for parcels, addresses, assets, events, and observations
• Normalise attribute tables while preserving spatial relationships and history
• Primary keys, foreign keys, constraints, and controlled code lists
• Spatial indexes and query plans for responsive citywide map services
• SQL joins, aggregations, buffers, and spatial predicates for operational questions
• Audit fields and versioning patterns for accountable dataset maintenance

Participants can apply spatial analysis methods to urban service-location and demand questions.

• Buffer, overlay, dissolve, clip, and spatial join analysis patterns
• Service-area analysis using road networks, travel time, and impedance
• Location-allocation methods for clinics, depots, charging stations, and shelters
• Network routing for waste collection, inspections, and emergency dispatch
• Kernel density estimation for incidents, complaints, and demand hotspots
• Multi-criteria suitability models using weighted overlay and documented assumptions

Participants can specify web maps and dashboards that support defined urban service decisions.

• Operational map specifications: audience, decisions, layers, scale, and refresh cycle
• Cartographic hierarchy, symbol rules, labelling, classification, and accessibility
• Configure interactive web maps with filters, pop-ups, bookmarks, and search
• Publish map services from PostGIS with permissions and scale dependencies
• Design dashboard indicators for service requests, assets, response times, and coverage
• Write user stories and acceptance criteria for municipal GIS products

Participants can integrate sensor observations into time-enabled GIS monitoring services.

• Urban sensor data models for traffic, air quality, parking, and flooding
• Time-enabled layers, event streams, observation timestamps, and retention policies
• Integrate IoT feeds through APIs, message brokers, and scheduled extracts
• Clean sensor observations using range checks, missing-value rules, and flags
• Spatially match sensor locations to roads, catchments, zones, and assets
• Configure alert thresholds and map-based monitoring views for operations teams

Participants can establish governance and privacy controls for shared urban spatial information.

• GIS governance charter defining sponsorship, decision rights, and service ownership
• Data-sharing agreements covering purpose, access, retention, and onward disclosure
• Role-based access control for public, partner, and restricted spatial data
• Privacy impact assessment for mobility traces, addresses, and incident locations
• De-identification methods: aggregation, suppression, spatial masking, and k-anonymity
• Records retention schedules for imagery, inspection evidence, and sensor data

Participants can select interoperable GIS services, formats and API patterns for urban systems.

• OGC API Features principles for interoperable feature access and discovery
• WMS, WMTS, WFS, and vector tiles matched to delivery needs
• REST API requests, pagination, query parameters, authentication, and error handling
• GeoJSON, GeoPackage, CSV, and MBTiles format selection criteria
• Metadata catalogues and service registers supporting reuse and lifecycle control
• Test interoperability using sample clients, schemas, and response validation

Participants can convert urban service needs into prioritised GIS product requirements.

• Human-centred service design for resident, field-worker, and analyst journeys
• Map user journeys across reporting, triage, dispatch, closure, and feedback
• Translate operational pain points into geospatial requirements and priority backlog
• Define minimum viable GIS products with measurable adoption criteria
• Prototype mobile and web interfaces using task flows and wireframes
• Conduct usability reviews using scenarios, observation notes, and issue severity

Participants can assess where 3D GIS, BIM integration and digital twins add operational value.

• Urban digital twin concepts, spatial models, sensors, and operational scenarios
• CityGML concepts for buildings, terrain, transportation, and semantic attributes
• Link BIM asset information with GIS context through identifiers and geometry
• 3D scene layers, level of detail, and performance trade-offs
• Visualise shadow, sightline, flood, and development-control analysis outputs
• Set update rules for planned, as-built, and operational city models

Participants can build spatial evidence for climate adaptation, emergency planning and equitable service access.

• Flood exposure mapping from terrain, drainage assets, rainfall, and vulnerability
• Heat-risk mapping using land surface temperature, canopy, and population data
• Accessibility analysis for cooling centres, shelters, clinics, and transit stops
• Equity screening using deprivation indicators, service coverage, and demographic proxies
• Scenario mapping for road closures, evacuation routes, and critical facilities
• Document uncertainty, data gaps, and assumptions in public-facing risk maps

Participants can connect GIS data to asset maintenance, inspections, work orders and investment planning.

• Asset registers linked to geometry, condition, inspections, work orders, and costs
• Linear referencing for road segments, pavement defects, and maintenance chains
• Risk-based inspection prioritisation using consequence, likelihood, and asset condition
• Field-to-office workflows for inspections, defect reporting, and supervisor approval
• Spatial work order dashboards for backlog, crew allocation, and completion
• Lifecycle mapping for renewal programmes, capital plans, and budget scenarios

Participants can prepare a phased GIS implementation roadmap supported by operational measures and procurement requirements.

• GIS business cases linking investment, service outcomes, costs, and risks
• Benefits maps connecting products, users, behavioural change, and performance measures
• Implementation roadmaps covering data, platforms, people, procurement, and governance
• Agile backlog prioritisation using value, effort, dependency, and risk criteria
• Procurement specifications for data, hosting, support, service levels, and exit
• Operational KPIs for availability, data currency, adoption, response, and accuracy

Participants can identify security and continuity requirements for critical GIS services.

• Threat modelling for public map portals, APIs, databases, and mobile devices
• Security controls for authentication, authorisation, encryption, logging, and patching
• Business continuity plans for outages affecting emergency and city operations
• Backup, recovery-point, and recovery-time objectives for spatial data services
• Incident response roles, evidence preservation, stakeholder communication, and service restoration
• Vendor risk assessment for cloud hosting, integrations, and data processors

Participants can build, review and present a complete urban GIS service blueprint for a defined municipal operational problem.

• Select a priority urban service problem and measurable decision outcomes
• Prepare governed datasets, metadata, quality checks, and update responsibilities
• Build spatial analyses, map services, dashboard indicators, and user workflows
• Specify integrations, access controls, privacy safeguards, and interoperability requirements
• Cost phased implementation, define KPIs, risks, and ownership arrangements
• Present the service blueprint, peer review findings, and implementation recommendations