GIS for Property and Real Estate Training Course

Participants can model the entities, attributes and relationships required for a property GIS.

• Parcel, building, unit, address and asset identifiers linked consistently
• Entity relationship diagrams for property, tenant, transaction and planning records
• One-to-many relationships between buildings, units, leases and occupants
• Spatial joins connecting property records with administrative and market geographies
• Unique identifiers preventing duplicate assets across property source systems
• Data dictionaries defining field names, formats, sources and update ownership

Participants can assess cadastral records and incorporate land administration data into analysis.

• Cadastral parcels, boundaries, easements and rights interpreted for property analysis
• Land administration records matched to parcel geometry and title references
• ISO 19152 Land Administration Domain Model concepts for property data
• Boundary uncertainty distinguished from legally surveyed parcel extents
• Tenure, encumbrance and restriction attributes mapped against development proposals
• Parcel topology checks identifying gaps, overlaps, slivers and invalid boundaries

Participants can source, assess and document property GIS data for reliable use.

• Authoritative sources for parcels, planning controls, roads and demographic data
• Accuracy, completeness, consistency, currency and lineage assessed before analysis
• ISO 19115 metadata elements recorded for property GIS datasets
• Licensing terms checked before combining commercial, public and internal data
• Quality thresholds set according to acquisition, valuation or operational decisions
• Data issue logs documenting errors, assumptions, owners and remediation actions

Participants can geocode property records and manage address matching quality.

• Address standardisation rules applied before matching property record datasets
• Geocoding match scores reviewed against manual verification thresholds
• Unit numbers, building names and postal variants resolved systematically
• Reference address gazetteers compared for coverage, currency and positional accuracy
• Unmatched addresses classified by source error, ambiguity or missing geography
• Geocode exception registers maintained with correction decisions and evidence

Participants can build clear base maps that combine property assets with relevant context.

• Parcel boundaries symbolised by tenure, ownership, status or development stage
• Basemap selection matched to urban, regional and rural property contexts
• Planning zones, roads, utilities and amenities layered without visual clutter
• Scale-dependent rendering improving readability across portfolio and site map extents
• Labels prioritised for parcels, assets, streets and decision-critical features
• Map layouts configured with title, legend, scale, source and date

Participants can map portfolio assets to identify geographic distribution and concentration.

• Portfolio records joined to property geometry using validated asset identifiers
• Asset classes mapped by office, retail, industrial, residential and land categories
• Thematic maps showing occupancy, rent, value, yield and lease expiry
• Graduated symbols and choropleths selected for appropriate property measures
• Portfolio concentration measured by geography, asset class and tenant exposure
• Map series generated for regional managers, asset teams and committees

Participants can identify planning controls and spatial constraints affecting a proposed site.

• Zoning overlays intersected with candidate parcels and development boundaries
• Setbacks, height limits and floor-area ratios captured as spatial attributes
• Floodplains, heritage areas and environmental constraints screened against sites
• Planning policy codes linked to mapped zones and overlay polygons
• Constraint matrices distinguishing fatal flaws from manageable development conditions
• Development potential maps communicate controls, opportunities and outstanding investigations

Participants can measure access to services, infrastructure, competitors and demand generators.

• Buffer analysis measures proximity to stations, schools, hospitals and competitors
• Euclidean distance distinguished from road-network travel distance and time
• Network service areas model reachable locations within defined travel thresholds
• Nearest-feature analysis identifies closest competitors, amenities and service points
• Access scores combine transport, parking, pedestrian routes and barrier effects
• Proximity assumptions documented for investment, retail and residential decisions

Participants can define catchments and assess demand within relevant service areas.

• Drive-time catchments created using road networks and travel-time assumptions
• Walk-time catchments account for crossings, barriers and pedestrian access
• Census demographics summarised within catchments using spatial aggregation methods
• Daytime population, households and employment compared across candidate locations
• Trade-area overlap identifies cannibalisation between existing and proposed sites
• Catchment boundaries tested against observed customer origin or tenant data

Participants can map market evidence and analyse geographically relevant comparable properties.

• Comparable transactions mapped by property type, date, price and floor area
• Price per square metre calculated with consistent measurement conventions
• Time-adjusted transactions distinguished from current asking-price market evidence
• Spatial filters select comparables within defined location and attribute criteria
• Kernel density surfaces reveal transaction clusters and market activity patterns
• Comparable maps document inclusion rules, exclusions and source limitations

Participants can analyse spatial value drivers and communicate their valuation relevance.

• Location attributes measured for transport, amenities, views and environmental exposure
• Hedonic pricing concepts distinguish structural, locational and neighbourhood value drivers
• Spatial autocorrelation recognised when nearby property values show patterned similarity
• Outlier mapping identifies transactions requiring valuation review or exclusion
• Neighbourhood boundaries tested against market behaviour rather than administrative labels
• Valuation evidence maps separate observed transactions from analytical interpretation

Participants can build a transparent weighted suitability model for a defined property use.

• Suitability criteria derived from investment strategy, planning and market requirements
• Standardised scoring converts different spatial measures into comparable scales
• Weighted linear combination ranks candidate locations using documented criterion weights
• Exclusion masks remove legally unsuitable, inaccessible or constrained land
• Sensitivity analysis tests how ranking changes under alternative weight assumptions
• Suitability outputs distinguish screened opportunities from final investment recommendations

Participants can use GIS evidence to support early-stage development feasibility screening.

• Site area, frontage and shape metrics calculated from parcel geometry
• Buildable area estimated after setbacks, constraints and access requirements
• Infrastructure availability mapped for utilities, roads, transit and public services
• Topography and drainage surfaces assessed for constructability and development cost
• Land assembly patterns reveal fragmented ownership and acquisition complexity
• Feasibility maps identify information gaps requiring technical due diligence

Participants can map spatial portfolio exposures and prioritise risk investigation.

• Assets intersected with flood, wildfire, subsidence and coastal hazard zones
• Climate hazard layers assessed for source, scenario, resolution and limitations
• Risk registers linked to asset locations, replacement values and mitigation actions
• Portfolio exposure summarised by region, asset class, tenant and hazard type
• Concentration maps reveal correlated exposure beyond individual asset risk ratings
• Risk prioritisation combines likelihood, consequence, exposure and control effectiveness

Participants can organise property spatial data for controlled, repeatable analytical workflows.

• PostGIS tables store parcels, assets, transactions and spatial reference layers
• Primary keys, foreign keys and spatial indexes improve data integrity
• Extract-transform-load workflows document source ingestion, validation and transformation steps
• Version control procedures protect approved datasets from uncontrolled amendments
• Refresh schedules align market, planning and portfolio data update cycles
• Automation candidates identified for recurring geocoding, mapping and portfolio reporting

Participants can design decision products that communicate property findings clearly and accurately.

• Web map layers organised for executives, analysts and operational users
• Dashboard indicators link portfolio metrics with interactive spatial filtering
• Map symbology tested for colour accessibility and decision-message clarity
• Annotation distinguishes facts, assumptions, estimates and recommended actions
• Executive map narratives connect spatial findings to financial and strategic implications
• Publishing controls manage user access, data sensitivity and update responsibilities

Participants can establish governance controls and an implementation roadmap for property GIS.

• Data stewardship roles assigned for parcel, asset, market and planning layers
• Personal data risks assessed when mapping tenants, customers or occupants
• Confidential transaction data classified before internal or external map publication
• Analytical assumptions recorded to support review, challenge and audit trails
• GIS operating model defines people, processes, platforms and data responsibilities
• Implementation roadmap sequences quick wins, data improvements and capability development

Participants can build, review and present a complete GIS-based property location recommendation.

• Decision brief defines property objective, geography, stakeholders and success criteria
• Data inventory records sources, quality findings, permissions and unresolved gaps
• Property dataset integrates parcels, planning controls, market evidence and demand indicators
• Suitability model ranks candidate sites using documented criteria and weights
• Portfolio or market map tests recommendation against spatial risks and opportunities
• Peer review challenges assumptions, data limitations, scoring and map interpretation
• Executive presentation communicates recommendation, evidence, risks and next actions