Geospatial Data Visualisation Training Course

Duration 10 days 20 modules · 65 contact hours
Level Intermediate Certificate on completion
Who attends GIS Analysts, Remote Sensing Analysts and others
Fee from USD 2,200 KSh 190,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 16 Nov 2026 Course code SD-GRS-136

Before you join: Participants should be comfortable working with spreadsheets and have prior exposure to GIS data, such as layers, attributes, coordinates and basic map display.

Dates & prices

Two start dates a month in every city, and live online on weekdays or weekends. Fees are per participant; classroom fees include tuition, materials, lunch and refreshments, and the certificate.

Suggest a date or city

Showing the next six months. Later dates, other cities and private deliveries for your team are available on request.

Course overview

Maps influence operational decisions when they make location, time, scale and uncertainty visible. Poor symbology, unsuitable classifications, unprojected data and uncontrolled web layers can misstate service coverage, asset condition, environmental risk or customer distribution. GIS teams need to turn spatial datasets into defensible maps, dashboards and web products that decision-makers can interpret quickly and use with confidence.

This course develops practical visualisation skills using ArcGIS Pro, QGIS and ArcGIS Online. Participants prepare vector, raster and tabular data; select coordinate reference systems; apply cartographic design principles; build thematic, temporal and multivariate maps; and communicate analytical results through print layouts, interactive web maps and dashboards. The course also addresses data quality, accessibility, colour use, scale, labelling, metadata and publication controls.

Teaching combines focused instructor demonstrations with case-based work drawn from public services, banking, infrastructure, humanitarian response, environmental management and commercial location analysis. Participants progressively build a visualisation product during the course, receiving structured review against a cartographic quality checklist. They leave with a completed geospatial visualisation portfolio piece, reusable templates and a publication plan for a work-relevant dataset.

The course suits GIS analysts, remote sensing practitioners, data analysts, planners, mapping officers and technical staff who already work with spatial data and need to produce clearer, more reliable outputs for operational and management audiences.

What you will be able to do

  • Prepare spatial datasets for accurate mapping using joins, projections, geometry checks and attribute validation
  • Select coordinate reference systems and map projections appropriate to geographic extent and analytical purpose
  • Design thematic maps using visual variables, classification methods and perceptual colour schemes
  • Create raster visualisations from satellite imagery using band combinations, stretch methods and derived indices
  • Build interactive web maps and dashboards with filters, pop-ups, indicators and controlled sharing permissions
  • Apply cartographic quality assurance checks for scale, labelling, accessibility, uncertainty and metadata
  • Publish spatial data services using OGC web service concepts and organisational governance controls
  • Present a complete geospatial visualisation product supported by documented design decisions

Benefits of attending

For you

  • Produces publication-ready maps for reports, briefings and technical submissions
  • Builds a portfolio-quality web map, dashboard and print layout
  • Makes defensible choices about projection, classification and colour design
  • Reviews mapping outputs against repeatable visual quality criteria
  • Communicates spatial evidence clearly to technical and non-technical audiences

For your organisation

  • Improves consistency across maps, dashboards and spatial reporting products
  • Reduces decision risk caused by misleading projections, classifications or symbolisation
  • Shortens production time through reusable styles, layouts and publication workflows
  • Strengthens governance for web maps, shared layers and public-facing information
  • Makes operational location intelligence more usable for managers and field teams

Course modules

20 modules over 10 days

Participants can define a visualisation brief that links spatial evidence to audience decisions.

  • Decision questions translated into map, dashboard and briefing product requirements
  • Audience analysis using technical literacy, task urgency and decision authority
  • Map purpose statements distinguish exploration, analysis, communication and monitoring
  • Geographic context, scale and time frame defined before visual design
  • Visualisation briefs specify users, decisions, data sources and delivery constraints
  • Stakeholder review criteria aligned with operational, policy and public communication needs

Participants can assess vector, raster and tabular data for visualisation suitability.

  • Vector feature classes compared through geometry, attributes and spatial relationships
  • Raster grids interpreted through cell size, extent, bands and pixel values
  • Attribute tables inspected for field types, nulls, duplicates and coded values
  • Spatial joins connect administrative, asset and survey data to mapped features
  • Geometry validation identifies invalid polygons, gaps, overlaps and multipart features
  • Data dictionaries document source, date, accuracy, ownership and permitted use

Participants can select and document coordinate reference systems appropriate to a mapping task.

  • Geographic and projected coordinate reference systems distinguished by measurement purpose
  • Datum transformations assessed when combining layers from different source systems
  • UTM zones selected for local distance, area and asset mapping
  • Equal-area projections chosen for choropleths, density and regional comparison
  • Web Mercator limitations explained for measurement and thematic interpretation
  • Projection metadata recorded in map specifications and publication documentation

Participants can apply hierarchy, balance and visual variables to create readable map compositions.

  • Visual hierarchy directs attention through size, contrast, position and weight
  • Figure-ground relationships separate focal data from contextual reference features
  • Bertin visual variables matched to nominal, ordinal and quantitative attributes
  • Map balance managed through whitespace, alignment, grouping and visual anchors
  • Scale-dependent design controls feature visibility across intended map scales
  • Generalisation methods reduce clutter through selection, simplification and aggregation

Participants can create accessible map styles using appropriate colour and typographic systems.

  • Sequential, diverging and qualitative schemes matched to data measurement levels
  • ColourBrewer palettes selected for print, screen and colour-vision accessibility
  • Luminance contrast tested between symbols, labels, basemaps and backgrounds
  • Typography establishes label hierarchy through family, size, weight and spacing
  • Halo, masking and placement rules improve labels over complex backgrounds
  • Greyscale checks reveal maps dependent on colour alone for meaning

Participants can select and justify classification methods for thematic mapping.

  • Choropleth maps normalise counts using rates, ratios and denominators
  • Equal interval classification applied when fixed measurement ranges matter
  • Quantile classes compared for ranked distributions and visual balance
  • Jenks natural breaks evaluated against data distribution and interpretability
  • Standard deviation classes communicate departure from mean performance values
  • Class counts tested for pattern clarity without concealing meaningful variation
  • Legend wording states units, time period, source and classification method

Participants can represent discrete events, networks and quantities without misleading scale effects.

  • Proportional symbols encode magnitude using perceptually scaled circle areas
  • Graduated symbol classes communicate ranges where exact comparison is secondary
  • Point clustering reduces overlap in dense incident and customer datasets
  • Line width, colour and casing distinguish routes, flows and network hierarchy
  • Flow maps represent origin-destination movement with directional line symbols
  • Symbol overlap assessed through transparency, displacement and scale thresholds

Participants can produce interpretable imagery displays from multispectral raster data.

  • RGB band combinations reveal vegetation, water, built surfaces and burn scars
  • Histogram stretching improves tonal separation using minimum-maximum and percent clip methods
  • Standard deviation stretch highlights subtle variation in continuous raster surfaces
  • NDVI outputs styled with meaningful thresholds and validated class labels
  • Hillshade, slope and aspect combined for terrain interpretation and communication
  • Resampling methods compared when preparing imagery for display and analysis
  • Raster pyramids and overviews improve display performance for large imagery

Participants can create controlled map products in ArcGIS Pro using layers, symbology and layouts.

  • ArcGIS Pro projects organise maps, scenes, layouts, geodatabases and connections
  • Layer symbology configured through unique values, graduated colours and rule-based styles
  • Definition queries isolate operational subsets without changing source datasets
  • Map series automate page production for districts, branches and project areas
  • Layout elements include legend, scale bar, north arrow, credits and locator map
  • Style files preserve approved symbols, colours, labels and layout components

Participants can create reproducible map products in QGIS using project styles and print layouts.

  • QGIS projects manage layer sources, groups, themes and coordinate settings
  • Rule-based symbology applies conditional styles to operational feature categories
  • Data-defined properties control symbol size, rotation, labels and transparency
  • Virtual fields derive display values without altering original attribute tables
  • Print Layout templates standardise map elements across repeated reporting products
  • Atlas generation creates location-specific map pages from polygon index features

Participants can finish print and digital maps with clear labels and publication-ready layouts.

  • Label priority rules protect critical names during automated placement
  • Conflict detection resolves collisions between labels, symbols and boundaries
  • Annotation conversion preserves essential placement for final publication maps
  • Locator maps establish geographic orientation without duplicating thematic content
  • Scale bars, grids and coordinate ticks selected for intended user tasks
  • Export settings optimise PDF, PNG and SVG outputs for delivery channels

Participants can select and style basemaps that support rather than compete with thematic content.

  • Basemap selection considers authority, update frequency, licensing and visual density
  • Reference layers ranked by relevance, positional accuracy and audience familiarity
  • Muted contextual styling protects thematic symbols from visual competition
  • Scale ranges prevent local detail from cluttering regional map products
  • OpenStreetMap data assessed for completeness, attribution and operational suitability
  • Custom reference layers combine boundaries, roads, landmarks and operational zones

Participants can visualise temporal change and multiple variables without obscuring interpretation.

  • Time-enabled layers animate incidents, observations and asset status changes
  • Small multiples compare consistent geographic patterns across reporting periods
  • Before-and-after maps control extent, scale, classes and symbol specifications
  • Bivariate choropleths communicate two related indicators using matrix legends
  • Dot density maps represent population, demand or exposure distributions
  • Chart-map combinations connect spatial patterns with trend and category evidence

Participants can present common spatial analysis outputs with clear assumptions and limitations.

  • Buffer zones communicate proximity assumptions around facilities, hazards and assets
  • Kernel density surfaces display concentration patterns without implying exact boundaries
  • Hot spot maps distinguish statistical significance from simple high values
  • Service areas visualise travel-time access using documented network assumptions
  • Suitability models present weighted criteria, constraints and scenario sensitivity
  • Uncertainty notes identify incomplete coverage, temporal lag and positional error

Participants can publish interactive web maps designed for focused user tasks.

  • Web map requirements define user tasks, devices, connectivity and access restrictions
  • Feature pop-ups present essential attributes using aliases, formatting and media
  • Filters and layer visibility controls reduce cognitive load for map users
  • Bookmarks provide direct access to priority locations, themes and viewpoints
  • Scale dependencies protect performance and prevent inappropriate feature interpretation
  • Sharing settings distinguish private, group, organisational and public audiences

Participants can design dashboards that connect mapped conditions with operational indicators.

  • Dashboard requirements identify decisions, indicators, thresholds and update frequency
  • Indicator widgets display totals, rates, targets and comparison periods
  • Selectors coordinate maps, charts and tables through filtered user interaction
  • Serial charts reveal trends alongside mapped current operational status
  • List and table widgets support exception review and field prioritisation
  • Dashboard layouts prioritise alerts, geographic context and actionable detail

Participants can plan secure publication and maintenance of shared geospatial visualisation products.

  • OGC WMS and WFS services distinguished by display and feature access
  • Hosted feature layers prepared with field aliases, domains and editing controls
  • Service metadata records ownership, update schedule, accuracy and usage conditions
  • Role-based access controls restrict sensitive locations, beneficiaries and infrastructure details
  • Publication workflows include approval, version control, archiving and retirement steps
  • Performance checks assess service load, drawing speed and mobile usability

Participants can evaluate maps and web products against defined quality and usability criteria.

  • Cartographic QA checklists test purpose, accuracy, legibility and accessibility
  • Visual inspection identifies misleading symbols, hidden layers and cluttered legends
  • Source attribution checks confirm licences, credits and required disclaimers
  • Peer review records findings against audience tasks and decision requirements
  • User acceptance criteria test common tasks, filters and information retrieval
  • Revision logs document design changes, reviewer comments and approval decisions

Participants can establish a repeatable workflow for producing governed geospatial outputs.

  • Production workflows sequence data intake, preparation, design, review and publication
  • Map specifications define datasets, projection, scale, styles and output formats
  • Naming conventions organise projects, layers, layouts, services and exports
  • Update plans assign data custodians, refresh frequency and quality responsibilities
  • Style governance maintains approved palettes, symbols, typography and templates
  • Implementation roadmaps prioritise quick wins, dependencies, resources and review dates

Participants can build, review and present a complete geospatial visualisation product for a defined decision audience.

  • Capstone brief defines decision question, audience, data scope and delivery format
  • Spatial datasets prepared, documented and styled for the selected communication purpose
  • Thematic or raster visualisation applies justified classification, projection and symbols
  • Print layout or interactive product includes context, legends, metadata and attribution
  • Quality review tests legibility, accessibility, accuracy, uncertainty and task completion
  • Presentation explains design choices, findings, limitations and recommended follow-up actions

Exercises and examples are adapted to each cohort's sectors and roles.

What you take back to work

  1. Geospatial visualisation brief template
  2. Cartographic quality assurance checklist
  3. Thematic map classification decision guide
  4. ArcGIS Pro and QGIS style template set
  5. Web map and dashboard publication plan
  6. Completed decision-ready geospatial visualisation product

Who should attend

  • GIS Analysts — produce decision-ready maps, web products and visual quality controls
  • Remote Sensing Analysts — communicate imagery-derived findings through clear raster and thematic outputs
  • Urban and Regional Planners — present land use, service access and development evidence credibly
  • Data Analysts — combine business data with geography for location-based reporting
  • Mapping and Survey Officers — standardise map production, layouts and publication procedures
  • Programme Monitoring Specialists — communicate geographic coverage, field activity and outcome patterns

Skills and tools covered

Cartographic designThematic mappingRaster visualisationWeb map publishingSpatial data qualityDashboard design

Tools and standards

ArcGIS Pro, QGIS, ArcGIS Online, OGC WMS/WFS

How the course runs

Training methodology

The course uses short technical briefings followed by instructor demonstrations in ArcGIS Pro, QGIS and ArcGIS Online. Participants work with realistic spatial datasets, including administrative boundaries, assets, demographic indicators and satellite imagery. Individual and group activities examine map critique, classification choices, web publication decisions and stakeholder requirements. Facilitated reviews compare alternative visual treatments against purpose, audience and data limitations. Participants apply methods to a work-relevant case throughout the programme and prepare an implementation plan for their own reporting environment.

Requirements and prerequisites

Participants should be comfortable working with spreadsheets and have prior exposure to GIS data, such as layers, attributes, coordinates and basic map display. Experience opening projects and inspecting vector or raster layers in ArcGIS Pro, QGIS or a comparable GIS is expected. Participants should be able to interpret tables, apply simple filters and manage files. Prior programming, advanced spatial analysis, web development, database administration and formal cartography qualifications are not required. The course teaches visualisation methods rather than introductory GIS concepts from first principles.

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

Live online deliveries follow the same structure in East Africa Time, with shorter screen blocks and longer breaks.

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Refreshments and lunch on classroom deliveries
  • Certificate of completion
  • Post-course application plan

Frequently asked questions

Participants should already understand basic GIS concepts, including layers, attributes, coordinates and map display. The course does not assume programming or advanced spatial analysis experience.

For classroom delivery, participants should bring a laptop capable of running ArcGIS Pro or QGIS where possible. A work-relevant dataset is useful, but training datasets and software guidance are provided.

It is designed for professionals who already handle spatial data and need to improve maps, layouts, imagery displays, web maps and dashboards. It is particularly relevant to GIS, planning, infrastructure, environmental, monitoring and location intelligence roles.

The focus is on communicating spatial information accurately and clearly, rather than basic GIS operation or image classification alone. Participants work with cartographic design, thematic mapping, web publication and visual quality assurance.

Participants can apply the methods to operational reporting, service coverage analysis, asset mapping, environmental monitoring, incident mapping and executive dashboards. The final product and implementation plan can be based on a work-relevant use case.

The first week establishes data preparation, cartographic design, thematic mapping, imagery display and desktop map production. The second week develops web maps, dashboards, governance, quality review and a complete capstone product, with approximately 6.5 contact hours each day.

Questions about this course?

Ask about dates, fees, group bookings or running it for your team. Our training team replies by email.