GIS for Real Estate Planning Training Course

Participants can select appropriate data models and coordinate systems for property analysis.

• Point, line and polygon geometry matched to real estate features
• Projected coordinate systems selected for distance and area measurement
• Geographic coordinate systems interpreted when integrating external location datasets
• Datum transformations checked before combining datasets from different sources
• Topology rules applied to prevent parcel gaps and overlaps
• Scale, resolution and positional accuracy assessed for intended decisions

Participants can source, document and assess property datasets for analytical use.

• Property registers, cadastral records and title data evaluated for usability
• Planning portals, open data and commercial sources compared systematically
• ISO 19115 metadata fields recorded for critical property datasets
• Completeness, accuracy, currency and consistency checked before analysis
• Data dictionaries define parcel, building, tenancy and transaction attributes
• Data licensing, confidentiality and permitted reuse documented before publication

Participants can create a linked spatial data model for a property portfolio or site search.

• Feature classes structured for parcels, assets, comparables and constraints
• Unique identifiers connect spatial features with property management systems
• Attribute domains standardise tenure, asset type and development status
• Relational tables store leases, transactions, inspections and valuation evidence
• Field naming conventions support reliable joins and data exchange
• Geodatabases organise source data, analysis layers and published outputs

Participants can geocode property records and reconcile them with parcel boundaries.

• Address standardisation improves match rates before batch geocoding
• Geocoding results reviewed using match scores and exception categories
• Parcel centroids, building footprints and address points compared carefully
• Spatial joins assign planning zones to mapped property records
• Duplicate properties identified through address, title and geometry comparisons
• Exception logs record unmatched, ambiguous and displaced property locations

Participants can produce clear maps that support property and planning decisions.

• Visual hierarchy directs attention toward sites, constraints and key findings
• Classification methods reveal property values, rents and transaction patterns
• Symbol conventions distinguish existing assets, proposals and competing schemes
• Scale bars, north arrows and coordinates support map interpretation
• Labels prioritise parcels, addresses, streets and planning designations
• Map layouts meet committee-paper, planning-submission and presentation requirements

Participants can map planning controls and interpret their implications for development options.

• Zoning, land-use classes and density controls mapped against candidate sites
• Overlay analysis identifies parcels affected by multiple planning designations
• Development plan policies linked to spatial zones and parcel attributes
• Setbacks, height limits and plot ratios translated into map criteria
• Land-use compatibility assessed between proposed developments and surrounding uses
• Planning constraints summarised within site due-diligence reports

Participants can identify environmental and physical constraints affecting site suitability.

• Flood zones, wetlands and protected areas screened around candidate parcels
• Slope, elevation and aspect derived from digital elevation models
• Buffer analysis measures proximity to hazards and sensitive receptors
• Contamination registers and former land uses mapped for due diligence
• Constraint severity classified using stated exclusion and mitigation rules
• Site constraint maps distinguish fatal flaws from manageable conditions

Participants can measure network access to assess property convenience and service coverage.

• Road and pedestrian networks prepared for travel-time analysis
• Network service areas calculate accessible locations within defined travel thresholds
• Origin-destination matrices compare sites against demand and workforce locations
• Public transport stops and frequency data incorporated into accessibility measures
• Drive-time catchments compared with straight-line distance assumptions
• Access constraints documented for loading, parking and emergency routes

Participants can map demand indicators relevant to residential, retail and service property.

• Census variables selected for target customer and household profiles
• Population density mapped using appropriate geographic denominator areas
• Income, employment and household composition analysed by catchment
• Market segmentation data joined to neighbourhood and postcode geographies
• Demand indicators normalised before comparing differently sized areas
• Thematic maps distinguish observed demand from forecast assumptions

Participants can map comparable evidence and identify local market patterns.

• Comparable transactions geocoded by address, parcel or building location
• Sale price, rent and yield normalised using relevant unit measures
• Spatial filters select comparables by distance, type and transaction date
• Hot spot analysis identifies clusters of transaction activity
• Supply pipelines mapped against existing stock and vacancy evidence
• Comparable maps document source dates, assumptions and exclusion decisions

Participants can build a weighted suitability model to rank candidate development sites.

• Decision criteria defined from development brief and investment requirements
• Hard constraints separated from scored site-selection factors
• Weighted linear combination combines standardised suitability criteria
• Reclassification converts raw values into transparent suitability scores
• Sensitivity analysis tests changes in criterion weights and thresholds
• Ranked site outputs record assumptions, exclusions and model limitations

Participants can apply a documented multi-criteria process to compare shortlisted sites.

• Analytic Hierarchy Process structures criteria, weights and pairwise comparisons
• Stakeholder priorities captured through documented weighting workshops
• Criteria conflicts exposed between cost, access, demand and constraints
• Scenario models compare conservative, growth and policy-led assumptions
• Decision matrices link GIS scores with financial and legal evidence
• Recommendation confidence assessed through data quality and sensitivity results

Participants can analyse portfolio distribution, exposure and strategic asset patterns.

• Portfolio assets mapped by type, tenure, value and operational status
• Spatial clustering reveals concentration risk and service duplication
• Lease expiry patterns mapped against market and redevelopment opportunities
• Underperforming assets screened using location, condition and utilisation attributes
• Portfolio gaps identified against service demand and coverage standards
• Asset strategy maps support retain, invest, dispose and acquire decisions

Participants can prepare spatial inputs that inform development feasibility assessments.

• Parcel area, frontage and shape measured from verified boundary data
• Buildable area estimated after setbacks, easements and excluded land
• Infrastructure proximity mapped for utilities, roads and public transport
• Nearby competing schemes assessed by status, scale and expected completion
• Spatial assumptions documented for integration with financial appraisal models
• Feasibility maps separate measured facts from planning and market assumptions

Participants can publish controlled web maps for property review and stakeholder consultation.

• Web map layers configured with appropriate visibility ranges and symbology
• Pop-ups present parcel facts, constraints and supporting documents
• Hosted feature layers managed with role-based editing permissions
• Story maps sequence site evidence for executive and community audiences
• Data-sharing settings protect confidential acquisition and tenant information
• Feedback locations captured through structured web forms and comments

Participants can validate spatial outputs and document analytical limitations.

• Ground-truth checks compare mapped features with imagery and site evidence
• Topology validation identifies geometry errors affecting parcel-based calculations
• Sampling plans test attribute accuracy within large property datasets
• Analysis parameters recorded for reproducibility and peer review
• Uncertainty statements explain data gaps, proxies and temporal limitations
• Quality assurance checklists approve maps before decision-maker distribution

Participants can manage real estate spatial data with appropriate governance and controls.

• Data ownership assigned across property, planning, finance and technology teams
• Access controls protect tenant, valuation and acquisition information
• Personal data risks assessed for address-level occupancy and customer datasets
• Version control preserves approved boundaries, assumptions and published maps
• Retention schedules govern archived project data and planning evidence
• Governance roles define data steward, editor, analyst and approver responsibilities

Participants can plan an operational GIS workflow for a recurring real estate decision process.

• Use cases prioritised by decision value, frequency and data readiness
• Workflow maps define inputs, transformations, review points and outputs
• Service-level requirements set update frequency, accuracy and publication timing
• Roles assigned for data maintenance, analysis, approval and stakeholder support
• Implementation roadmaps sequence quick wins, pilots and scaled deployment
• Performance measures track adoption, turnaround time and decision quality

Participants can build, review and present a complete GIS-supported site recommendation for a real estate decision.

• Project brief defines asset type, decision criteria and stakeholder requirements
• Source datasets assembled for parcels, demand, access and planning constraints
• Candidate sites screened through documented exclusion and suitability rules
• Network, market and constraint findings synthesised into site comparisons
• Recommendation maps designed for investment committee review and challenge
• Methods, assumptions, limitations and next actions presented in decision report