{"id":1001372,"date":"2026-10-14T23:03:59","date_gmt":"2026-10-15T03:03:59","guid":{"rendered":"https:\/\/sites.temple.edu\/yangyang\/?page_id=1001372"},"modified":"2026-10-14T23:11:21","modified_gmt":"2026-10-15T03:11:21","slug":"traview","status":"publish","type":"page","link":"https:\/\/sites.temple.edu\/yangyang\/traview\/","title":{"rendered":"Traview"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"1001372\" class=\"elementor elementor-1001372\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2957d0e e-con-full e-flex e-con e-parent\" data-id=\"2957d0e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-aee8e52 elementor-widget elementor-widget-html\" data-id=\"aee8e52\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div id=\"tv-page\" lang=\"en\">\r\n  <div class=\"tv-wrap\">\r\n    <nav class=\"tv-nav\" aria-label=\"Traview page navigation\">\r\n      <a class=\"tv-logo\" href=\"https:\/\/traview.io\/\" aria-label=\"Traview official website\"><img decoding=\"async\" src=\"https:\/\/traview.io\/horizontal%20logo.png\" alt=\"Traview \u2014 Desktop Analysis Suite\" width=\"350\" height=\"100\"><\/a>\r\n      <div class=\"tv-navlinks\"><a href=\"#tv-workflow\">Workflow<\/a><a href=\"#tv-features\">Features<\/a><a href=\"#tv-modules\">Modules<\/a><a href=\"https:\/\/traview.io\/tutorials\">Tutorials<\/a><a href=\"https:\/\/traview.io\/download\">Download \u2197<\/a><\/div>\r\n    <\/nav>\r\n  <\/div>\r\n  <section class=\"tv-hero\" aria-labelledby=\"tv-title\">\r\n    <div class=\"tv-wrap\">\r\n      <div class=\"tv-pill\"><span class=\"tv-dot\" aria-hidden=\"true\"><\/span>Traview \u00b7 Desktop Analysis Suite<\/div>\r\n      <h1 id=\"tv-title\">The Unified Desktop<span>Analytics Platform<\/span><\/h1>\r\n      <p class=\"tv-lead\">From raw data to research findings. Explore tourism and hospitality data through statistical, econometric, spatial, and text analysis in one desktop workspace.<\/p>\r\n      <div class=\"tv-actions\"><a class=\"tv-btn tv-btn-gold\" href=\"https:\/\/traview.io\/download\">Download Traview <span aria-hidden=\"true\">\u2192<\/span><\/a><a class=\"tv-btn tv-btn-outline\" href=\"https:\/\/traview.io\/docs\/quick-start\">Quick start guide<\/a><\/div>\r\n      <p class=\"tv-hero-note\">For research, teaching, and applied analysis.<\/p>\r\n      <div class=\"tv-window\"><div class=\"tv-window-bar\"><i aria-hidden=\"true\"><\/i><i aria-hidden=\"true\"><\/i><i aria-hidden=\"true\"><\/i>Traview \/ Main workspace<\/div><a href=\"https:\/\/traview.io\/traview.png\" target=\"_blank\" rel=\"noopener\" aria-label=\"Open full-size Traview workspace screenshot in a new tab\"><img decoding=\"async\" src=\"https:\/\/traview.io\/traview.png\" alt=\"Traview desktop main workspace with dataset and analysis menus\"><\/a><\/div>\r\n    <\/div>\r\n  <\/section>\r\n  <section class=\"tv-section\" id=\"tv-workflow\"><div class=\"tv-wrap\"><div class=\"tv-heading\"><p class=\"tv-eyebrow\">Core workflow<\/p><h2>One connected research workflow.<\/h2><p>Prepare the dataset, choose an analysis, review the output, and keep a record of how you got there.<\/p><\/div><div class=\"tv-grid tv-three\"><article class=\"tv-card\"><span class=\"tv-number\">01<\/span><h3>Import your data<\/h3><p>Open your dataset and check the variables before analysis.<\/p><\/article>\r\n<article class=\"tv-card\"><span class=\"tv-number\">02<\/span><h3>Prepare variables<\/h3><p>Set types and labels, handle missing values, and organize your data.<\/p><\/article>\r\n<article class=\"tv-card\"><span class=\"tv-number\">03<\/span><h3>Select your method<\/h3><p>Move from descriptive analysis to econometric, spatial, text, or predictive models.<\/p><\/article>\r\n<article class=\"tv-card\"><span class=\"tv-number\">04<\/span><h3>Inspect the results<\/h3><p>Review tables and figures together in the Results Window.<\/p><\/article>\r\n<article class=\"tv-card\"><span class=\"tv-number\">05<\/span><h3>Record the analysis<\/h3><p>Use Syntax &amp; Log to retain the commands and messages behind your work.<\/p><\/article>\r\n<article class=\"tv-card\"><span class=\"tv-number\">06<\/span><h3>Export and share<\/h3><p>Bring your findings into documents, spreadsheets, figures, and presentations.<\/p><\/article>\r\n<\/div><a class=\"tv-link\" href=\"https:\/\/traview.io\/workflow\">Explore the full workflow \u2192<\/a><\/div><\/section>\r\n  <section class=\"tv-section tv-soft\" id=\"tv-features\"><div class=\"tv-wrap\"><div class=\"tv-heading\"><p class=\"tv-eyebrow\">Workbench design<\/p><h2>Your data, methods, and results.<br>In the same workspace.<\/h2><p>Keep the analytical process organized as your research moves across methods.<\/p><\/div><div class=\"tv-grid tv-three\">\r\n    <article class=\"tv-card\"><span class=\"tv-number\">01<\/span><h3>Results in one place<\/h3><p>Review outputs in a shared results tree, compare analyses, and prepare tables and charts for your report.<\/p><\/article>\r\n    <article class=\"tv-card\"><span class=\"tv-number\">02<\/span><h3>A record of your work<\/h3><p>Use Syntax &amp; Log to inspect analysis commands and messages, revisit earlier steps, and support reproducible work.<\/p><\/article>\r\n    <article class=\"tv-card\"><span class=\"tv-number\">03<\/span><h3>Connected analysis tools<\/h3><p>Move between data preparation, modeling, text analysis, and maps without rebuilding your workflow in separate applications.<\/p><\/article>\r\n  <\/div><div class=\"tv-grid tv-three tv-gallery\">\r\n<figure class=\"tv-shot\"><a href=\"https:\/\/traview.io\/result.png\" target=\"_blank\" rel=\"noopener\" aria-label=\"Open Results Window screenshot in a new tab\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/traview.io\/result.png\" alt=\"Traview Results Window screenshot\"><\/a><figcaption>Results Window<\/figcaption><\/figure>\r\n<figure class=\"tv-shot\"><a href=\"https:\/\/traview.io\/syntax.png\" target=\"_blank\" rel=\"noopener\" aria-label=\"Open Syntax &amp; Log screenshot in a new tab\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/traview.io\/syntax.png\" alt=\"Traview Syntax &amp; Log screenshot\"><\/a><figcaption>Syntax &amp; Log<\/figcaption><\/figure>\r\n<figure class=\"tv-shot\"><a href=\"https:\/\/traview.io\/spatial.png\" target=\"_blank\" rel=\"noopener\" aria-label=\"Open Spatial Analysis screenshot in a new tab\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/traview.io\/spatial.png\" alt=\"Traview Spatial Analysis screenshot\"><\/a><figcaption>Spatial Analysis<\/figcaption><\/figure>\r\n<\/div><p class=\"tv-note\">Select a screenshot to view it at full size in a new tab.<\/p><\/div><\/section>\r\n  <section class=\"tv-section\" id=\"tv-modules\"><div class=\"tv-wrap\"><div class=\"tv-heading\"><p class=\"tv-eyebrow\">Analysis modules<\/p><h2>A broad toolkit.<br>A consistent working environment.<\/h2><p>Find the tools that fit your research question, from foundational statistics to specialized analytical methods.<\/p><\/div><div class=\"tv-grid tv-four\"><article class=\"tv-card tv-module\"><span class=\"tv-number\">01<\/span><h3>Data<\/h3><p>Import, clean, merge, and define variables.<\/p><a class=\"tv-link\" href=\"https:\/\/traview.io\/modules\/data\">Explore module <span aria-hidden=\"true\">\u2192<\/span><\/a><\/article>\r\n<article class=\"tv-card tv-module\"><span class=\"tv-number\">02<\/span><h3>Statistics<\/h3><p>Explore distributions, compare groups, and test hypotheses.<\/p><a class=\"tv-link\" href=\"https:\/\/traview.io\/modules\/statistics\">Explore module <span aria-hidden=\"true\">\u2192<\/span><\/a><\/article>\r\n<article class=\"tv-card tv-module\"><span class=\"tv-number\">03<\/span><h3>Charts<\/h3><p>Visualize patterns and refine figures for reporting.<\/p><a class=\"tv-link\" href=\"https:\/\/traview.io\/modules\/charts\">Explore module <span aria-hidden=\"true\">\u2192<\/span><\/a><\/article>\r\n<article class=\"tv-card tv-module\"><span class=\"tv-number\">04<\/span><h3>Econometrics<\/h3><p>Estimate regression, panel, discrete-choice, and causal models.<\/p><a class=\"tv-link\" href=\"https:\/\/traview.io\/modules\/econometrics\">Explore module <span aria-hidden=\"true\">\u2192<\/span><\/a><\/article>\r\n<article class=\"tv-card tv-module\"><span class=\"tv-number\">05<\/span><h3>Time Series<\/h3><p>Study temporal dynamics and generate forecasts.<\/p><a class=\"tv-link\" href=\"https:\/\/traview.io\/modules\/time-series\">Explore module <span aria-hidden=\"true\">\u2192<\/span><\/a><\/article>\r\n<article class=\"tv-card tv-module\"><span class=\"tv-number\">06<\/span><h3>Spatial Analysis<\/h3><p>Explore geographic patterns and fit spatial models.<\/p><a class=\"tv-link\" href=\"https:\/\/traview.io\/modules\/spatial-analysis\">Explore module <span aria-hidden=\"true\">\u2192<\/span><\/a><\/article>\r\n<article class=\"tv-card tv-module\"><span class=\"tv-number\">07<\/span><h3>Text Analysis<\/h3><p>Examine terms, topics, and sentiment in text.<\/p><a class=\"tv-link\" href=\"https:\/\/traview.io\/modules\/text-analysis\">Explore module <span aria-hidden=\"true\">\u2192<\/span><\/a><\/article>\r\n<article class=\"tv-card tv-module\"><span class=\"tv-number\">08<\/span><h3>Machine Learning<\/h3><p>Build predictive models and evaluate their performance.<\/p><a class=\"tv-link\" href=\"https:\/\/traview.io\/modules\/machine-learning\">Explore module <span aria-hidden=\"true\">\u2192<\/span><\/a><\/article>\r\n<article class=\"tv-card tv-module\"><span class=\"tv-number\">09<\/span><h3>Advanced Models<\/h3><p>Work with SEM, meta-analysis, DEA, and related methods.<\/p><a class=\"tv-link\" href=\"https:\/\/traview.io\/modules\/advanced-models\">Explore module <span aria-hidden=\"true\">\u2192<\/span><\/a><\/article>\r\n<article class=\"tv-card tv-module\"><span class=\"tv-number\">10<\/span><h3>Applications<\/h3><p>Follow guided workflows for applied analytical tasks.<\/p><a class=\"tv-link\" href=\"https:\/\/traview.io\/modules\/applications\">Explore module <span aria-hidden=\"true\">\u2192<\/span><\/a><\/article>\r\n<article class=\"tv-card tv-module\"><span class=\"tv-number\">11<\/span><h3>Results Window<\/h3><p>Organize analysis outputs and prepare exports.<\/p><a class=\"tv-link\" href=\"https:\/\/traview.io\/modules\/results-window\">Explore module <span aria-hidden=\"true\">\u2192<\/span><\/a><\/article>\r\n<article class=\"tv-card tv-module\"><span class=\"tv-number\">12<\/span><h3>Syntax &amp; Log<\/h3><p>Review scripts, execution messages, and analysis records.<\/p><a class=\"tv-link\" href=\"https:\/\/traview.io\/modules\/syntax-log\">Explore module <span aria-hidden=\"true\">\u2192<\/span><\/a><\/article>\r\n<\/div><div class=\"tv-center\"><a class=\"tv-link\" href=\"https:\/\/traview.io\/modules\">View all modules \u2192<\/a><\/div><\/div><\/section>\r\n  <section class=\"tv-section tv-soft\"><div class=\"tv-wrap\"><div class=\"tv-heading\"><p class=\"tv-eyebrow\">Who it is for<\/p><h2>Built around the work you do.<\/h2><\/div><div class=\"tv-grid tv-four\">\r\n    <article class=\"tv-card\"><h3>Faculty &amp; students<\/h3><p>Demonstrate analytical methods, practice with datasets, and develop coursework and thesis projects.<\/p><\/article>\r\n    <article class=\"tv-card\"><h3>Researchers<\/h3><p>Connect research questions with analytical methods and organize outputs for interpretation and writing.<\/p><\/article>\r\n    <article class=\"tv-card\"><h3>Analysts &amp; consultants<\/h3><p>Prepare data, estimate models, and communicate findings in a structured reporting workflow.<\/p><\/article>\r\n    <article class=\"tv-card\"><h3>Tourism &amp; hospitality teams<\/h3><p>Investigate visitor behavior, destination patterns, hotel performance, and policy questions.<\/p><\/article>\r\n  <\/div><\/div><\/section>\r\n  <section class=\"tv-section\"><div class=\"tv-wrap\"><div class=\"tv-faq\"><div class=\"tv-heading\"><p class=\"tv-eyebrow\">Getting started<\/p><h2>A few practical questions.<\/h2><\/div>\r\n    <details><summary>Where can I download Traview?<\/summary><p>Visit the <a href=\"https:\/\/traview.io\/download\">official download page<\/a> for current availability, installation files, and system requirements.<\/p><\/details>\r\n    <details><summary>Where should I start learning?<\/summary><p>Begin with the <a href=\"https:\/\/traview.io\/docs\/quick-start\">quick start guide<\/a>, then explore the <a href=\"https:\/\/traview.io\/tutorials\">tutorials<\/a> and individual module pages.<\/p><\/details>\r\n    <details><summary>Can I use Traview for teaching?<\/summary><p>Traview supports teaching and method training. See <a href=\"https:\/\/traview.io\/licensing\/academic\">academic licensing<\/a> for current terms and eligibility.<\/p><\/details>\r\n    <details><summary>How can I ask a product question?<\/summary><p>Use the <a href=\"https:\/\/traview.io\/support\">support page<\/a> or email <a href=\"mailto:info@traview.io\">info@traview.io<\/a>.<\/p><\/details>\r\n  <\/div><\/div><\/section>\r\n  <section class=\"tv-section\" style=\"padding-top:0\"><div class=\"tv-wrap\"><div class=\"tv-cta\"><p class=\"tv-eyebrow\">Start with your next research question<\/p><h2>Bring your analysis together.<\/h2><p>Explore Traview and follow the documentation to build your first end-to-end workflow.<\/p><div class=\"tv-actions\"><a class=\"tv-btn tv-btn-gold\" href=\"https:\/\/traview.io\/download\">Get Traview \u2192<\/a><a class=\"tv-btn tv-btn-outline\" href=\"https:\/\/traview.io\/docs\/quick-start\">Read the documentation<\/a><\/div><\/div><\/div><\/section>\r\n  <div class=\"tv-wrap\"><footer class=\"tv-footer\"><span>Traview | \u65c5\u8a00 \u00b7 Desktop Analysis Suite<\/span><div><a href=\"https:\/\/traview.io\/\">Official website \u2197<\/a><a href=\"https:\/\/traview.io\/contact\">Contact<\/a><a href=\"mailto:info@traview.io\">info@traview.io<\/a><\/div><\/footer><\/div>\r\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>WorkflowFeaturesModulesTutorialsDownload \u2197 Traview \u00b7 Desktop Analysis Suite The Unified DesktopAnalytics Platform From raw data to research findings. Explore tourism and hospitality data through statistical, econometric, spatial, and text analysis in &hellip;<\/p>\n","protected":false},"author":4944,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"class_list":["post-1001372","page","type-page","status-publish","hentry"],"acf":[],"jetpack-related-posts":[{"id":664,"url":"https:\/\/sites.temple.edu\/yangyang\/","url_meta":{"origin":1001372,"position":0},"title":"Home","author":"Yang Yang","date":"December 27, 2025","format":false,"excerpt":"Prof. Yang2 STHM, Temple University I study how tourism and hospitality systems grow, adapt, and recover through econometrics, spatial modeling, big data, and AI. Econometrics Big Data\u00a0 Spatial Modeling Meta Analysis y = X\u03b2 + \u03b5 y = \u03c1Wy + X\u03b2 + \u03b5 \u0177t+h = E(yt+h | \ud835\udcd5t) VIEW RESEARCH\u2026","rel":"","context":"Similar post","block_context":{"text":"Similar post","link":""},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/sites.temple.edu\/yangyang\/files\/2026\/04\/Image_20260422190921_980_243-936x1024.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/sites.temple.edu\/yangyang\/files\/2026\/04\/Image_20260422190921_980_243-936x1024.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/sites.temple.edu\/yangyang\/files\/2026\/04\/Image_20260422190921_980_243-936x1024.png?resize=525%2C300&ssl=1 1.5x, https:\/\/i0.wp.com\/sites.temple.edu\/yangyang\/files\/2026\/04\/Image_20260422190921_980_243-936x1024.png?resize=700%2C400&ssl=1 2x"},"classes":[]},{"id":1000629,"url":"https:\/\/sites.temple.edu\/yangyang\/consulting\/","url_meta":{"origin":1001372,"position":1},"title":"Consulting","author":"Yang Yang","date":"January 1, 2026","format":false,"excerpt":"Consulting Who I Help DMOs, tourism boards, hotel companies, airports, event organizations, public agencies, technology firms. What Problems I Solve Demand forecasting, visitor flow modeling, event impact analysis, hotel feasibility, destination recovery, market segmentation, AI\/data strategy. Selected Services Smart Tourism System Engineering Designing interoperable digital ecosystems for destinations. Focus on\u2026","rel":"","context":"Similar post","block_context":{"text":"Similar post","link":""},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":40,"url":"https:\/\/sites.temple.edu\/yangyang\/teaching\/","url_meta":{"origin":1001372,"position":2},"title":"Teaching","author":"Yang Yang","date":"August 5, 2014","format":false,"excerpt":"Courses Taught THM 5111 \u201cApplied Research\u201d Temple University Fall 2024- This course is designed to introduce applied statistics and the use of statistics in the experience industries in addition to providing a foundation and framework for subsequent coursework in sport and recreation business. Students will learn how to apply methods\u2026","rel":"","context":"Similar post","block_context":{"text":"Similar post","link":""},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":1000478,"url":"https:\/\/sites.temple.edu\/yangyang\/spatial\/","url_meta":{"origin":1001372,"position":3},"title":"Spatial Modeling","author":"Yang Yang","date":"January 1, 2026","format":false,"excerpt":"Spatial Modeling Why is this method important?Tourism is inherently spatial, involving the movement of people across geographic landscapes. Geospatial analysis, often facilitated by Geographic Information Systems (GIS), is vital for visualizing these flows, identifying spatial clusters (hotspots), and understanding how location affects tourism performance. It allows for the measurement of\u2026","rel":"","context":"Similar post","block_context":{"text":"Similar post","link":""},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":1000450,"url":"https:\/\/sites.temple.edu\/yangyang\/meta\/","url_meta":{"origin":1001372,"position":4},"title":"Meta Analysis","author":"Yang Yang","date":"January 1, 2026","format":false,"excerpt":"Meta-Analysis Why is this method important?Meta-analysis is critical for synthesizing conflicting empirical findings across a wide range of studies to determine a generalized \"true\" effect size. It moves beyond narrative reviews by statistically correcting for sampling errors and research artifacts. This method is essential for theory building, as it identifies\u2026","rel":"","context":"Similar post","block_context":{"text":"Similar post","link":""},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":8,"url":"https:\/\/sites.temple.edu\/yangyang\/home\/","url_meta":{"origin":1001372,"position":5},"title":"About Me","author":"Yang Yang","date":"April 30, 2013","format":false,"excerpt":"About Me Prof. Yang2 Professor and Department ChairSchool of Sport, Tourism and Hospitality Management, Temple University Linkedin Researchgate Google Orcid Biography Dr. Yang Yang studies how tourism, hospitality, and event systems respond to market change, spatial mobility, technology, and disruption. His work combines econometrics, spatial analytics, big data, and AI\u2026","rel":"","context":"Similar post","block_context":{"text":"Similar post","link":""},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/sites.temple.edu\/yangyang\/files\/2013\/04\/jr-Yang-Yang_02-e1504066359651.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]}],"jetpack_sharing_enabled":true,"post_mailing_queue_ids":[],"_links":{"self":[{"href":"https:\/\/sites.temple.edu\/yangyang\/wp-json\/wp\/v2\/pages\/1001372","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.temple.edu\/yangyang\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.temple.edu\/yangyang\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.temple.edu\/yangyang\/wp-json\/wp\/v2\/users\/4944"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.temple.edu\/yangyang\/wp-json\/wp\/v2\/comments?post=1001372"}],"version-history":[{"count":6,"href":"https:\/\/sites.temple.edu\/yangyang\/wp-json\/wp\/v2\/pages\/1001372\/revisions"}],"predecessor-version":[{"id":1001380,"href":"https:\/\/sites.temple.edu\/yangyang\/wp-json\/wp\/v2\/pages\/1001372\/revisions\/1001380"}],"wp:attachment":[{"href":"https:\/\/sites.temple.edu\/yangyang\/wp-json\/wp\/v2\/media?parent=1001372"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}