Lesson 1Location-based services and GPS traces: accuracy trade-offs, frequency, battery considerations, and cleaning methodsDive into location services and GPS tracks as detailed movement data. Cover accuracy, check rates, battery drain, map-matching, and clearing messy paths for solid tourism flow and spot visit checks.
GPS accuracy, drift, and indoor limitationsSampling frequency and battery trade-offsMap-matching to roads and pedestrian pathsDetecting stops, trips, and POI visitsFiltering noise and outlier trajectoriesLesson 2Survey and intercept instruments: design of short in-app and on-site surveys, sampling strategies, frequency, and response biasSpotlight survey and intercept tools for tourism know-how, from quick app forms to spot checks. Explain form design, sampling plans, timing, rewards, and cutting reply bias and survey tiredness.
Defining survey objectives and key metricsQuestion wording, scales, and survey lengthOn-site, online, and in-app recruitmentSampling frames, quotas, and weightingNonresponse, recall, and social desirability biasLesson 3App telemetry and SDK data: location, session, POI visits, opt-in, sampling bias, and update cadenceOutline app telemetry and SDK data in tourism apps, covering sessions, screens, and spot visits. Handle consent steps, opt-in levels, sampling, update speeds, and dodge shady tricks and privacy risks.
Session, screen, and event instrumentationLocation and POI visit logging in appsConsent flows, opt-in, and transparencySampling, throttling, and data volume controlUpdate cadence and SDK governanceLesson 4Legal, privacy, and ethical constraints: GDPR-equivalent frameworks, anonymisation, differential privacy basics, and data retention policiesTackle legal, privacy, and fair play sides of tourism data. Review GDPR-style rules, legal grounds, anonymising, basic differential privacy, hold limits, and fair guides for responsible data oversight.
Lawful bases for processing tourism dataData minimization and purpose limitationAnonymization and pseudonymization methodsDifferential privacy concepts and use casesRetention schedules and deletion policiesLesson 5Mobile network and CDR-derived insights: what they reveal (origin, flows, dwell time), temporal resolution, access channels, and privacy/legal constraintsBreak down mobile network and CDR tourism insights like origin spots, flows, and stay times. Discuss space-time detail, access ways, grouping, and tough privacy, consent, and rule needs.
CDR structure, events, and aggregation levelsOrigin–destination matrices and visitor flowsDwell time estimation and stay classificationTemporal resolution and representativenessPrivacy, consent, and regulatory constraintsLesson 6Booking and reservation platforms data: occupancy, arrival/departure windows, booking lead times, and data sharing agreementsCheck data from booking sites and managers, like occupancy, lead times, and stay patterns. Focus on access choices, sharing deals, bias roots, and turning raw bookings into tourism smarts.
Occupancy, ADR, and length-of-stay indicatorsArrival and departure windows by segmentBooking lead times and demand forecastingAPIs, exports, and channel manager feedsData sharing agreements and governanceLesson 7Open and administrative data: transport timetables, event permits, environmental datasets, and update schedulesExplore open and council datasets for tourism, like transport, events, and nature. Cover formats, update rounds, licences, and judging reliability, fullness, and fit for daily and big-picture use.
Transport timetables and service calendarsEvent permits and cultural agenda datasetsEnvironmental and climate open data portalsLicensing, reuse rights, and attribution rulesUpdate frequency, versioning, and data qualityLesson 8Social media and UGC analytics: geo-tagged posts, sentiment, topic extraction, sampling bias, and API limitsHandle social media and user content as tourism data, like geo-posts, reviews, photos. Tackle sentiment and topic pulls, platform APIs, sampling bias, and fair reading of signals for destination handling.
Geo-tagged posts and place-based activityReview text, ratings, and photo metadataSentiment and emotion analysis techniquesTopic modeling and trend detectionSampling bias, bots, and API limitationsLesson 9Sensor and IoT data (counters, BLE, Wi-Fi probes): installation sites, calibration, maintenance, and near real-time retrievalCover sensor and IoT data for smart spots, like counters, BLE beacons, Wi-Fi probes. Discuss setup spots, tuning, upkeep, edge work, and near-live data flows for operations.
People counters and camera-based systemsBLE beacons and Wi‑Fi probe collectionSite selection, coverage, and interferenceCalibration, testing, and maintenance plansStreaming, buffering, and real-time accessLesson 10Data linkage and provenance: identifiers, temporal alignment, aggregation levels, and techniques for combining heterogeneous sourcesExplain linking varied tourism datasets while keeping track origins. Cover IDs, time matching, space grouping, and ways to mix sources without overfit, double counts, or privacy slips.
Stable identifiers and pseudonymous keysTemporal alignment and time-window choicesSpatial aggregation and zoning decisionsRecord linkage and fusion techniquesProvenance tracking and audit trails
