Geospatial Data Management with ArcGIS Pro Training Course

Participants can integrate datasets using suitable coordinate systems and geographic transformations.

• Geographic coordinate systems, projected systems, datums and vertical coordinate systems
• Projection selection based on extent, purpose, distance and area calculations
• Geographic transformations chosen from source and destination datum requirements
• Define Projection and Project tools distinguished for coordinate repair
• Spatial reference properties inspected through layer and dataset metadata
• Datum mismatch symptoms diagnosed using control points and overlay checks

Participants can assess incoming geospatial data for fitness, provenance and documented use.

• Data acceptance criteria defined for positional, attribute, temporal and lineage quality
• ISO 19115 metadata elements recorded for managed spatial datasets
• Source lineage, capture method, scale and update frequency documented
• Attribute completeness assessed using null counts, domains and frequency tables
• Positional accuracy checked against reference features and stated tolerances
• Data quality report structured for procurement, handover and internal review

Participants can design a geodatabase schema that supports controlled editing and analysis.

• Feature datasets organised by common coordinate system and topology requirements
• Feature classes designed with geometry type, fields and required attributes
• Coded value domains enforce approved classifications and status values
• Range domains constrain measurements, quantities and date values
• Subtypes assign default values and behaviour for asset categories
• Relationship classes connect assets, inspections, owners and supporting records

Participants can edit spatial features while preserving geometry and attribute integrity.

• Editing templates configured for standardised feature creation and attributes
• Snapping settings control coincident, endpoint, edge and intersection placement
• Feature construction tools create points, lines, polygons and multipart features
• Attribute rules calculate, constrain and validate geodatabase field values
• Field Calculator expressions update attributes using Arcade and Python
• Edit tracking records creators, editors, creation dates and modification dates

Participants can apply topology rules and correct spatial data errors systematically.

• Topology rules selected for parcel, utility, boundary and network datasets
• Must Not Overlap and Must Not Have Gaps rules
• Topology validation identifies geometry conflicts within defined cluster tolerance
• Error Inspector filters exceptions, unresolved errors and validated features
• Fix tools correct overshoots, gaps, duplicates and boundary mismatches
• Exception handling documents approved departures from topology rules

Participants can organise, process and assess raster and imagery datasets for analysis.

• Raster properties reviewed for bands, bit depth, resolution and extent
• Mosaic datasets manage imagery collections, footprints, overviews and functions
• Raster functions apply stretch, clipping, indices and on-the-fly processing
• Cell size, resampling method and snap raster control analysis alignment
• Multispectral band combinations support vegetation, water and built-area interpretation
• Imagery metadata documents acquisition date, sensor, processing and cloud conditions

Participants can select and execute vector analyses that answer operational spatial questions.

• Buffer analysis defines service zones, risk distances and protected areas
• Spatial Join transfers attributes using containment, intersection and nearest relationships
• Overlay tools combine constraints through Clip, Intersect, Union and Erase
• Dissolve aggregates features using shared attributes and statistical summaries
• Select By Location identifies features meeting defined spatial relationships
• Proximity results interpreted with assumptions, units and boundary effects

Participants can build raster-based suitability models with transparent criteria and weights.

• Raster Calculator combines criteria using map algebra expressions
• Reclassification converts continuous values into defined suitability classes
• Euclidean Distance creates proximity surfaces from facilities and hazards
• Slope and aspect derived from digital elevation models
• Weighted Overlay documents criterion scales, weights and exclusion masks
• Sensitivity testing compares suitability results under alternative weighting assumptions

Participants can use network analysis to assess routes, service areas and facility locations.

• Network datasets model streets, travel costs, restrictions and turn rules
• Route analysis identifies shortest or fastest paths between stops
• Service Area analysis estimates reachable populations within travel thresholds
• Closest Facility analysis assigns incidents to candidate response locations
• Location-Allocation models compare facility placement against demand points
• Travel-time assumptions documented for operational decision-maker review

Participants can create reusable ModelBuilder workflows for routine data processing tasks.

• ModelBuilder diagrams connect inputs, tools, outputs and preconditions
• Variables and parameters create reusable workflows for changing datasets
• Iterators batch-process feature classes, rasters and workspace contents
• Inline variable substitution generates controlled output names and paths
• Model validation identifies broken paths, missing parameters and invalid settings
• Tool documentation records purpose, inputs, outputs and execution assumptions

Participants can adapt ArcPy scripts and package them as controlled geoprocessing tools.

• ArcPy site packages access geoprocessing tools, environments and data objects
• Python variables, lists, loops and conditionals support batch processing
• arcpy.da cursors read, update and insert attribute records
• Environment settings control extent, workspace, overwrite and processing alignment
• Script tools expose parameters, validation messages and derived outputs
• Error handling records exceptions, warnings and execution results for review

Participants can plan multiuser editing workflows using enterprise geodatabase versioning.

• Enterprise geodatabase components distinguish database, schema, services and users
• Branch and traditional versioning compared for editing requirements
• Named versions separate proposed edits from authoritative production data
• Reconcile identifies conflicts between child versions and target versions
• Post operations apply reviewed edits to controlled parent versions
• Roles and privileges restrict viewing, editing, schema changes and administration

Participants can publish managed spatial content for controlled web and mobile use.

• Web maps, feature layers, tile layers and imagery layers distinguished
• Sharing settings control owner, group, organisation and public access
• Feature layer configuration defines editing, attachments, fields and forms
• Hosted feature layer views expose filtered records without duplicating data
• Service definitions package publishing settings for repeatable deployment
• Web map documentation records audience, refresh schedule and responsible owner

Participants can improve dataset performance and exchange data without losing essential controls.

• Spatial indexes improve query performance for large feature classes
• Attribute indexes target frequent filters, joins and selection fields
• Compression, compacting and archiving reduce geodatabase storage overhead
• GeoPackage, GeoJSON, CSV and shapefile exchange limitations assessed
• Field mapping preserves schema meaning during import and export
• Data exchange checklist verifies coordinate systems, encodings and null values

Participants can define governance controls for managed geospatial data and services.

• Data stewardship roles assign ownership, custody, approval and maintenance responsibilities
• Retention schedules distinguish operational records, archives and superseded datasets
• Access classification protects sensitive locations, personal data and critical infrastructure
• Backup and recovery procedures define frequency, retention and restoration tests
• Change control records schema amendments, rule changes and publication decisions
• Service-level measures track update timeliness, completeness and error resolution

Participants can build, review and present a complete ArcGIS Pro geospatial data management and analysis project.

• Project brief defines decision question, users, data sources and constraints
• Geodatabase schema implements domains, subtypes, relationships and editing controls
• Quality checks apply metadata review, topology validation and attribute rules
• Analysis workflow combines vector, raster or network methods appropriately
• Publication plan specifies web layers, access permissions and maintenance ownership
• Peer review tests assumptions, outputs, documentation and decision relevance