Lesson 1Location-based services an' GPS traces: accuracy trade-offs, frequency, battery considerations, an' cleanin' methodsDig into location-based services an' GPS traces as fine-grained mobility data. Talk 'bout accuracy, samplin' frequency, battery impact, map-matchin', an' cleanin' noisy trajectories fi reliable tourism flow an' POI 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 an' intercept tools: design a short in-app an' on-site surveys, samplin' strategies, frequency, an' response biasFocus pon survey an' intercept tools fi tourism insights, from short in-app forms to on-site questionnaires. Explain questionnaire design, samplin' strategies, timin', incentives, an' how fi reduce response bias an' survey fatigue.
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 an' SDK data: location, session, POI visits, opt-in, samplin' bias, an' update cadenceDescribe app telemetry an' SDK data used inna tourism apps, includin' sessions, screens, an' POI visits. Cover consent flows, opt-in rates, samplin' strategies, update cadence, an' how fi avoid dark patterns an' 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, an' ethical constraints: GDPR-like frameworks, anonymization, differential privacy basics, an' data retention policiesAddress legal, privacy, an' ethical sides a tourism data. Review GDPR-like frameworks, lawful bases, anonymization, differential privacy basics, retention limits, an' ethical guidelines fi responsible data-driven governance.
Lawful bases for processing tourism dataData minimization and purpose limitationAnonymization and pseudonymization methodsDifferential privacy concepts and use casesRetention schedules and deletion policiesLesson 5Mobile network an' CDR-derived insights: what dem reveal (origin, flows, dwell time), temporal resolution, access channels, an' privacy/legal constraintsDetail mobile network an' CDR-based tourism insights, like origin markets, flows, an' dwell times. Discuss spatial an' temporal resolution, access models, aggregation, an' strict privacy, consent, an' regulatory requirements.
CDR structure, events, and aggregation levelsOrigin–destination matrices and visitor flowsDwell time estimation and stay classificationTemporal resolution and representativenessPrivacy, consent, and regulatory constraintsLesson 6Bookin' an' reservation platforms data: occupancy, arrival/departure windows, bookin' lead times, an' data sharin' agreementsCheck data from bookin' platforms an' channel managers, includin' occupancy, lead times, an' stay patterns. Focus pon access options, data-sharin' contracts, bias sources, an' how fi turn raw reservations into tourism intelligence.
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 an' administrative data: transport timetables, event permits, environmental datasets, an' update schedulesDig into open an' administrative datasets fi tourism, includin' transport, events, an' environment. Cover formats, update cycles, licensin', an' how fi check reliability, completeness, an' fitness fi operational an' strategic 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 an' UGC analytics: geo-tagged posts, sentiment, topic extraction, samplin' bias, an' API limitsCover social media an' UGC as tourism data, includin' geo-tagged posts, reviews, an' photos. Address sentiment an' topic extraction, platform APIs, samplin' bias, an' how fi responsibly interpret signals fi 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 an' IoT data (counters, BLE, Wi-Fi probes): installation sites, calibration, maintenance, an' near real-time retrievalCover sensor an' IoT data fi smart destinations, like counters, BLE beacons, an' Wi-Fi probes. Discuss installation design, calibration, maintenance, edge processin', an' near real-time data pipelines fi 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 linkin' an' provenance: identifiers, temporal alignment, aggregation levels, an' techniques fi combin' heterogeneous sourcesExplain how fi link heterogeneous tourism datasets while keepin' provenance. Cover identifiers, temporal alignment, spatial aggregation, an' methods fi combine sources without overfittin', double countin', or privacy breaches.
Stable identifiers and pseudonymous keysTemporal alignment and time-window choicesSpatial aggregation and zoning decisionsRecord linkage and fusion techniquesProvenance tracking and audit trails
