Lesson 1Location-based services and GPS traces: accuracy trade-offs, frequency, battery considerations, and cleaning methodsExplore location services and GPS tracks as detailed movement data. Cover accuracy, sampling rate, battery effects, map-matching, and cleaning messy paths for solid tourism flow and spot visit analysis.
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 biasFocus on survey and intercept tools for tourism insights, from quick in-app forms to on-site questions. Explain design, sampling plans, timing, rewards, and cutting response 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 cadenceDescribes app telemetry and SDK data in tourism apps, covering sessions, screens, and POI visits. Includes consent processes, opt-in rates, sampling plans, update rhythms, and avoiding sneaky patterns 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 policiesTackles legal, privacy, and ethical sides of tourism data. Reviews GDPR-style rules, legal grounds, anonymisation, basic differential privacy, retention caps, and ethical guides for responsible data-led management.
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 constraintsDetails mobile network and CDR tourism insights like origin markets, flows, and stay times. Discusses space-time detail, access ways, grouping, and tough privacy, consent, and regulation 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 agreementsLooks at data from booking platforms and managers, including occupancy, lead times, and stay patterns. Focuses on access choices, sharing deals, bias sources, 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 schedulesExplores open and council datasets for tourism like transport, events, and environment. Covers formats, update cycles, licences, and checking 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 limitsCovers social media and user content as tourism data, including geo-tagged posts, reviews, photos. Tackles sentiment and topic pulls, platform APIs, sampling bias, and responsibly reading signals for destination management.
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 retrievalCovers sensor and IoT data for smart spots like counters, BLE beacons, Wi-Fi probes. Discusses setup design, calibration, upkeep, edge processing, 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 sourcesExplains linking varied tourism datasets while keeping track origins. Covers 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
