Computer Cartography

Course Description

GIS4006 is computer cartography — the design of maps, treated as a discipline with rules rather than an aesthetic exercise.

Florida's statewide description is terse: "examination of computer mapping systems, theory, methodology, and applications." UWF's is fuller and more current: the course "focuses on the fundamentals of cartography, spatial statistics, thematic mapping techniques, and web-based mapping. Students will gain an interdisciplinary understanding of cartographic representation and visualization with hands-on applications using cutting-edge GIS software to create purpose-tailored maps."

⚠ The reason cartography survives as a separate course in a GIS curriculum is that GIS software will happily produce a bad map. It will apply a default classification, a default colour ramp and a default layout, and the result will look finished. Whether it communicates the right thing — or misleads — is a set of decisions the software makes on your behalf unless you make them deliberately.

The decisions are consequential in specific, well-documented ways. Choosing a different classification scheme for the same data produces maps that support opposite conclusions. Mapping counts rather than rates makes a map of population; a sequential colour ramp implies an order that categorical data does not have; a projection choice distorts area in ways that change what a reader believes. ⚠⚠ None of these is an error the software will flag, and all of them are routinely made.

UWF also names an outcome worth noting: students "will have created a professional GIS portfolio for current/potential employers." ⚠ In geospatial work the portfolio is how hiring happens, and this is the course that produces the pieces.

Two Florida public institutions carry this number: the University of West Florida and Florida State University, both at three credits with identical titles.

Learning Outcomes

Required Outcomes

• Apply cartographic design principles — visual hierarchy, figure-ground, balance, and the purposeful use of every element on a map.
• Select and apply appropriate thematic mapping techniques: choropleth, proportional symbol, dot density, isarithmic, cartogram and flow maps.
• ⚠ Choose a data classification scheme — equal interval, quantile, natural breaks, standard deviation — and justify the choice, understanding that it changes the map's message.
• Apply colour theory to mapping: sequential, diverging and qualitative schemes, and colour-vision accessibility.
• Apply symbolisation and typography — symbol design, label placement and type hierarchy.
• Select an appropriate map projection for a purpose and extent, and explain the distortion it introduces.
• ⚠ Normalise data appropriately — rates against counts — and recognise the errors that follow from failing to.
• Apply relevant spatial statistics to summarise and describe distributions.
• Produce web-based maps and understand how interactive delivery changes design decisions.
• Build a professional portfolio of maps suitable for showing to employers.

Optional Outcomes

• Apply animated or temporal mapping to change over time.
• Apply 3D visualisation and terrain representation.
• Develop a personal cartographic style — named explicitly in UWF's description.
• Apply accessibility standards to map products.
• Critique published maps, including deliberately misleading ones.

Major Topics

Required Topics

• Cartographic communication — the map as a designed argument, and the designer's responsibility to the reader.
• Map elements and layout — title, legend, scale, north arrow, source, and when each is unnecessary.
• Visual variables — size, shape, value, hue, orientation, texture — and what each is suited to represent.
• Thematic map types and the data each requires.
• ⚠ Data classification — methods, their effects, and choosing defensibly.
• Normalisation — counts, rates, densities, and the modifiable areal unit problem.
• Colour — schemes by data type, ColorBrewer, and colour-vision deficiency.
• Typography and labelling — placement rules and automated labelling.
• Projections for cartography — selection by purpose, extent and distortion property.
• Spatial statistics for summarising distributions.
• Web mapping — tiled services, interactivity, zoom-dependent design and mobile constraints.
• Portfolio development and professional presentation of map products.

Optional Topics

• Animated and temporal cartography.
• 3D and terrain visualisation.
• Map critique, and the literature on misleading maps.
• Accessibility in cartographic products.
• Story maps and narrative mapping.
• Print production and large-format output.

Resources & Tools

• Thematic Cartography and Geovisualization (Slocum et al.) — the standard academic text for this course.
• Cartography. (Kenneth Field) — ⚠ a genuinely excellent modern practitioner's reference from Esri Press, and more useful day to day than most textbooks.
• How to Lie with Maps (Mark Monmonier) — short, entertaining, and the best available demonstration that every map is a set of choices.
• ArcGIS Pro for production; ArcGIS Online for the web-mapping component; QGIS as the free alternative.
• ColorBrewer (colorbrewer2.org) — free, evidence-based colour schemes for maps, and the tool practitioners actually use.
• Esri Academy cartography courses, and the North American Cartographic Information Society (NACIS) for community and practice.
• Florida data for practice: the Florida Geographic Data Library, county property appraiser parcel data, Census demographics, FDOT and the water management districts — ⚠ real local data makes far better portfolio pieces than tutorial data.
• ⚠ A portfolio platform. UWF names portfolio creation as a course outcome; treat every map as a portfolio candidate.

Career Pathways

• Cartographer (SOC 17-1021, cartographers and photogrammetrists) — the named profession, though most such roles now carry GIS titles.
• GIS analyst and GIS specialist — ⚠ cartographic skill is a genuine differentiator here, because most GIS graduates can run an analysis and comparatively few can present it well.
• Data visualisation specialist — the design principles transfer directly beyond maps.
• Web GIS developer and geospatial web designer, building interactive mapping applications.
• Journalism and communications — news organisations employ people who can make accurate, readable maps quickly, and demand rose with data journalism.
• Planning, public health and emergency management — fields where maps drive public decisions and where clarity carries real consequences.
• ⚠⚠ Florida context: county property appraisers and planning departments produce map products continuously; the five water management districts, FDOT, FDEP and FWC all publish maps to the public; and emergency management produces evacuation, storm surge and damage maps that the public acts on during hurricanes — which is cartography with immediate consequences for whether people understand their risk correctly.
• Certification: the GISP (GIS Certification Institute) for the broader field.

Special Information

Offering Notes

Institution	Its title	Credits	Structure
University of West Florida (SUS)	Computer Cartography	3	⚠ prerequisite GIS 4043/L; corequisite GIS 4006L
Florida State University (SUS)	Computer Cartography	3	not published

✅ Both carriers use the statewide title unchanged at three credits. The 45 contact hours recorded here is Florida's convention for a three-credit lecture course.

⚠⚠ UWF pairs this course with a separate laboratory, GIS4006L, as a corequisite — a separate registration and a separate grade, carrying the hands-on map production. UWF students should register for both, and the practical work sits in the lab rather than here. FSU does not publish a corresponding lab pairing for its version.

UWF places the course in the College of Science and Engineering, Department of Earth and Environmental Sciences, and ⚠ dual-lists it with GIS 5007, where graduate students are assigned additional work — so the pace sits above a typical undergraduate course, and taking this version may block taking the graduate one for credit later. Ask if you are considering a UWF master's.

⚠⚠ Classification choice is the course's central lesson, and it is not a technicality

Worth setting out because it is the clearest example of why this course exists.

Take one dataset — say, median household income by census tract — and map it four times using equal interval, quantile, natural breaks and standard deviation classification. ⚠⚠ You will produce four maps that look substantially different and support different readings of the same place. Quantile classification guarantees an even spread across classes and can manufacture the appearance of sharp division where the data is continuous; equal interval preserves the real distribution and can put almost everything in one class.

None of them is false. All of them are choices. ⚠ The professional obligation is to choose deliberately, for a stated reason, and to make the classification visible in the legend so a reader can see what was done.

⚠⚠ The same applies to normalisation, and the failure is more common. A choropleth map of raw counts by county is, in most cases, a map of where people live — and it will be read as a map of the phenomenon. Mapping rates, densities or per-capita figures is usually the correct choice, and "usually" is doing work: the right normalisation depends on the question.

⚠ Colour choices have accessibility consequences

Roughly one in twelve men has some form of colour-vision deficiency, most commonly red-green. ⚠⚠ The default red-to-green diverging ramp — used constantly for good-to-bad, gain-to-loss — is close to unreadable for those readers, and it remains in wide use.

ColorBrewer flags colour-blind-safe schemes explicitly and is free, so the fix costs nothing but attention. ⚠ For public-facing maps — evacuation zones, flood risk, health data — this is not a refinement; it determines whether some of your audience can use the map at all.

Position in the curriculum and transfer

Taken after the introductory GIS course and its laboratory. UWF requires GIS 4043/L. ⚠ Number-divergence warning for transfer: the University of Florida numbers introductory GIS as GIS 3043C — a 3000-level integrated course rather than a 4000-level lecture-and-lab pair. Same subject, different number and packaging.

⚠ A 4000-level course carrying upper-division credit. Florida's statewide record classifies it as transferable to an institution offering the same course, with no Gordon Rule designation and no general-education category. It is marked for dual enrolment with elective high-school credit; ⚠ uniform across the whole GIS prefix, so boilerplate.

⚠⚠ Keep the maps. A portfolio is what a receiving programme or an employer can actually evaluate, and UWF names portfolio creation as an outcome of this course specifically.

AI Integration

Map production has been partially automated for years, and generative tools extend that. Automated label placement, style suggestion, layout templates and — increasingly — natural-language requests that produce a styled map are all real. ⚠ For routine production work this is a genuine speed increase.

⚠⚠ But this course teaches precisely the judgements that automation makes silently and often badly, which makes the relationship unusually clear.

Every default is a decision somebody did not make. GIS software already chooses a classification scheme, a colour ramp and a symbol size if you do not — and this course exists because those defaults are frequently wrong for the data and the purpose. ⚠ A generative tool adds a further layer of defaults, chosen from what is statistically common in its training data rather than from what your data requires. Since a great deal of published cartography is mediocre, "statistically common" is not a high standard.

Three specific failures to expect, and to be able to name:

• ⚠ Classification chosen without reference to the distribution — a scheme applied because it is common, not because it fits.
• ⚠⚠ Counts mapped where rates were needed. This is the single most frequent substantive error in thematic mapping, it is well represented in the training data as an error, and nothing in an automated workflow will catch it.
• Colour schemes that ignore data type or accessibility — a sequential ramp on categorical data, or a red-green diverging scheme.

⚠⚠⚠ The thing worth saying about the career, because it is not obvious: automation is a stronger argument for cartographic skill, not a weaker one. When anyone can produce a map in seconds, the number of bad maps rises sharply — and the value of a person who can look at one and say precisely what is wrong with it, and produce one that is right, goes up. That is a judgement role, and it is what this course is building.

Used well: generating layout variations to react to, drafting alternative colour schemes to evaluate against ColorBrewer, and explaining a statistical concept in different words. ⚠ An unusually good exercise: have a tool produce a thematic map, then critique it against this course's principles — classification, normalisation, colour, hierarchy, projection. It will fail several reliably, and identifying which is the entire skill.

⚠ One practical caution: language models are unreliable about software specifics. ArcGIS Pro is versioned and menu paths change between releases, so generated step-by-step instructions are frequently almost right and non-functional. Use Esri's documentation.