Advanced ArcGIS Technologies Training Course

Participants can assess, prepare and integrate spatial datasets from multiple sources.

• Data lineage documented from source acquisition through published analytical outputs
• Attribute validation rules applied before joins, appends and spatial overlays
• Schema mapping resolves field names, coded values and null conventions
• Conflation methods reconcile duplicate roads, parcels and asset locations
• Spatial joins chosen by containment, intersection, proximity or nearest feature
• Quality checks identify completeness, positional accuracy, consistency and timeliness

Participants can design geodatabases that preserve integrity across multiuser editing workflows.

• Feature datasets organise classes sharing coordinate systems and topology requirements
• Domains constrain valid attribute values through coded and range definitions
• Subtypes apply default values and field domains by asset category
• Relationship classes model one-to-many and many-to-many business records
• Topology rules detect gaps, overlaps, dangles and invalid containment
• Attachments and GlobalIDs support inspections, photographs and offline synchronisation

Participants can configure controlled editing and reconciliation processes for authoritative data.

• Branch versioning supports concurrent editing through feature service workflows
• Traditional versioning compared with branch versioning for enterprise maintenance
• Reconcile and post procedures resolve conflicts before database publication
• Attribute rules enforce calculations, constraints and validation during edits
• Contingent values restrict valid field combinations for complex asset records
• Editing tracking records creators, editors and timestamps for accountability

Participants can build defensible vector analysis workflows using appropriate geoprocessing methods.

• Overlay analysis compares union, intersect, erase and identity outputs
• Buffer distances selected using operational thresholds and coordinate system units
• Dissolve, merge and append tools applied with attribute aggregation rules
• Near and Generate Near Table quantify proximity relationships precisely
• Spatial selection sequences reduce processing extent and improve analytical clarity
• Geoprocessing environments control extent, mask, snap raster and overwrite behaviour

Participants can create reusable ModelBuilder workflows with parameters, validation and error handling.

• ModelBuilder variables, connectors and tool dependencies document processing logic
• Iterators process feature classes, tables, rasters and workspace contents
• Inline variable substitution creates traceable dynamic output naming conventions
• Model parameters expose controlled inputs for operational user execution
• Preconditions and conditional branching manage workflow dependencies and exceptions
• Models exported to Python preserve reusable analytical workflow logic

Participants can automate ArcGIS tasks with maintainable ArcPy scripts.

• ArcPy modules access geoprocessing tools, environments and ArcGIS projects
• Python functions package repeatable tasks with clear input and output parameters
• Cursors read, update and insert attribute records efficiently
• Try-except handling captures geoprocessing errors and writes diagnostic logs
• Pathlib and configuration files separate scripts from machine-specific file paths
• Scheduled scripts support routine data refresh, validation and report production

Participants can use Arcade to create dynamic attributes, labels and visual indicators.

• Arcade profiles distinguish popup, label, renderer, form and dashboard contexts
• FeatureSet functions query related layers and tables within expressions
• Conditional logic creates status indicators from operational attribute thresholds
• Date functions calculate inspection age, service duration and reporting periods
• Dictionary expressions construct structured popup content and dynamic display values
• Scale-dependent symbology preserves legibility across regional and local map scales

Participants can prepare raster datasets and apply analytical raster processing chains.

• Raster properties assessed for cell size, extent, bands and bit depth
• Mosaic datasets organise imagery footprints, processing templates and overviews
• Raster functions apply on-the-fly processing without creating permanent outputs
• Map algebra combines conditional, local, focal and zonal raster operations
• Resampling methods selected for categorical, continuous and spectral raster data
• Raster storage formats compared for compression, pyramids and cloud access

Participants can classify imagery and identify meaningful land or asset changes.

• Spectral indices calculate NDVI, NDWI and built-up area indicators
• Training samples prepared for supervised image classification workflows
• Random Trees classification evaluates land-cover classes using labelled imagery
• Accuracy assessment reports confusion matrices, producer accuracy and user accuracy
• Change detection compares classified outputs, spectral values and temporal composites
• Object-based image analysis segments imagery before feature classification

Participants can test spatial patterns and communicate statistically defensible findings.

• Global Moran's I tests overall spatial autocorrelation in mapped observations
• Hot Spot Analysis identifies statistically significant clusters using Getis-Ord Gi*
• Optimized Hot Spot Analysis selects scale and aggregation parameters automatically
• Kernel Density estimates event intensity from point-based operational records
• Incremental Spatial Autocorrelation identifies distance bands with strongest clustering
• Regression diagnostics assess residual patterns, multicollinearity and model specification

Participants can construct transparent suitability models for location-based decisions.

• Decision criteria translated into measurable spatial factors and constraints
• Weighted Overlay combines standardised raster criteria using documented importance weights
• Fuzzy membership functions represent gradual suitability and uncertain thresholds
• Boolean constraints exclude protected areas, hazards and inaccessible locations
• Sensitivity analysis tests how weight changes affect candidate rankings
• Suitability outputs documented with assumptions, thresholds and decision limitations

Participants can model routing, service access and facility location using network datasets.

• Network datasets encode streets, turns, restrictions, hierarchy and travel costs
• Route analysis sequences stops using time, distance and operational constraints
• Service areas estimate reachable populations, assets and response coverage
• Closest Facility identifies nearest suitable resource under network travel rules
• Location-Allocation selects facilities using demand, capacity and impedance assumptions
• Origin-Destination Cost Matrix compares travel costs across many locations

Participants can organise ArcGIS Online content, groups and sharing controls for operational use.

• Content item pages record ownership, credits, tags and usage constraints
• Groups control collaboration, update access and audience-specific content sharing
• Hosted feature layers configured for editing, attachments and field applications
• Views expose filtered records and fields without duplicating source datasets
• Web maps combine operational layers, reference data, bookmarks and popups
• Credit consumption monitored for storage, analysis and premium content services

Participants can explain ArcGIS Enterprise components and plan a controlled service environment.

• Portal for ArcGIS manages identities, content, groups and organisational sharing
• ArcGIS Server roles support hosting, imagery, geoprocessing and map services
• Data stores provide relational, tile cache and spatiotemporal storage
• Web Adaptor placement supports reverse proxy and organisational URL policies
• Federation connects ArcGIS Server sites with Portal security and content management
• Backup strategy covers portal content, services, databases and configuration stores

Participants can publish and configure performant GIS services for web and enterprise consumers.

• Feature services published with editing capabilities, sync settings and ownership controls
• Map image layers configured for cartography, queries and dynamic rendering
• Imagery services publish mosaics, raster functions and image access capabilities
• Geoprocessing services expose validated models for controlled remote execution
• Service instance settings balance response time, capacity and infrastructure cost
• Service definitions preserve publication settings for repeatable deployment

Participants can design role-specific web GIS products that support operational decisions.

• ArcGIS Dashboards configure indicators, serial charts, selectors and actions
• Experience Builder assembles pages, widgets, data sources and responsive layouts
• Instant Apps selected using purpose, audience, configuration and governance requirements
• Operational dashboards distinguish strategic indicators from live situational awareness
• Popup design presents priority attributes, media, related records and actions
• Accessibility checks address colour contrast, keyboard access and descriptive labels

Participants can establish governance controls for secure, sustainable ArcGIS operations.

• Role-based access control assigns least-privilege permissions to GIS users
• Named user types aligned with editing, analysis, publishing and administration duties
• Sharing reviews identify public exposure, obsolete content and ownership risks
• Service monitoring examines requests, failures, response times and resource consumption
• Data retention schedules define archival, deletion and authoritative record responsibilities
• Change control records service updates, schema revisions and rollback decisions

Participants can plan ArcGIS integrations using REST services, data formats and controlled interfaces.

• ArcGIS REST API endpoints expose layers, queries, metadata and capabilities
• Query parameters filter records using where clauses, geometry and output formats
• Feature service editing uses applyEdits requests with validation controls
• JSON and GeoJSON structures inspected for geometry, attributes and identifiers
• Webhooks trigger downstream processes after feature edits and status changes
• Integration designs document authentication, error handling, ownership and refresh schedules

Participants can build, review and present a complete ArcGIS solution integrating governed data, analysis, automation and web delivery.

• Problem statement defines decisions, users, spatial questions and success measures
• Data model specifies sources, quality checks, metadata and stewardship responsibilities
• Analytical workflow combines vector, raster, network or statistical methods appropriately
• Automation component documents ModelBuilder or ArcPy inputs, outputs and exceptions
• Web delivery design specifies services, audiences, permissions and application components
• Peer review tests assumptions, cartography, reproducibility and operational usefulness
• Presentation communicates findings, limitations, governance controls and implementation priorities