{"id":1843,"date":"2018-02-17T23:50:09","date_gmt":"2018-02-17T15:50:09","guid":{"rendered":"http:\/\/www.storagelab.org.cn\/zhangdi\/?p=1843"},"modified":"2018-02-17T23:50:09","modified_gmt":"2018-02-17T15:50:09","slug":"survery-of-surverys-%e7%a7%91%e7%a0%94%e7%94%a8%e5%8f%af%e8%a7%86%e5%8c%96%e6%a1%88%e4%be%8b%e5%a4%a7%e6%b1%87%e6%80%bb","status":"publish","type":"post","link":"https:\/\/www.divis.cn\/index.php\/2018\/02\/17\/survery-of-surverys-%e7%a7%91%e7%a0%94%e7%94%a8%e5%8f%af%e8%a7%86%e5%8c%96%e6%a1%88%e4%be%8b%e5%a4%a7%e6%b1%87%e6%80%bb\/","title":{"rendered":"survery of surverys ! \u79d1\u7814\u7528\u53ef\u89c6\u5316\u6848\u4f8b\u5927\u6c47\u603b"},"content":{"rendered":"

\u6211\u5df2\u7ecf\u96be\u4ee5\u63a9\u9970\u81ea\u5df1\u6fc0\u52a8\u7684\u5fc3\u60c5\u4e86\uff01<\/p>\n

\u524d\u6bb5\u65f6\u95f4\u6211\u5728\u6574\u7406\u7f51\u7edc\u7ed3\u6784\u6570\u636e\u7684\u53ef\u89c6\u5316\u6848\u4f8b\u3002\u5728\u8fd9\u4e2a\u8fc7\u7a0b\u4e2d\uff0c\u81ea\u7136\u662f\u5e0c\u671b\u80fd\u627e\u5230\u7c7b\u4f3cTimeVis\u548ctreeVis\u4e00\u6837\u7684\u6848\u4f8b\u7efc\u8ff0\u7ad9\u70b9\u2014\u2014\u7ed3\u679c\u4e0d\u627e\u4e0d\u8981\u7d27\uff0c\u4e00\u627e\u627e\u5230\u4e00\u5806\u91d1\u77ff\uff01\u5728\u8fd9\u4e9b\u7f51\u7ad9\u91cc\uff0c\u4e0d\u4ec5\u53ef\u4ee5\u627e\u5230\u76f8\u5173\u8bba\u6587\uff0c\u8fd8\u53ef\u4ee5\u5f88\u5feb\u5730\u8fdb\u884c\u5206\u7c7b\u68c0\u7d22\u548c\u6700\u65b0\u6587\u732e\u8c03\u67e5\uff0c\u4e43\u81f3\u6587\u732e\u4e4b\u95f4\u5f15\u7528\u5173\u7cfb\u7814\u7a76~<\/p>\n

\u503c2018\u5e74\u6625\u8282\u5409\u65e5\uff0c\u7ed9\u5927\u5bb6\u5171\u4eab\u8fd9\u4e9b\u91d1\u77ff\u4ea7\u5730\uff1a<\/p>\n

\"\"<\/a><\/p>\n

\u901a\u7528\u53ef\u89c6\u5316\u6848\u4f8b\u68c0\u7d22\uff1a<\/strong><\/p>\n

    \n
  1. KeyVis<\/a> \u53ef\u89c6\u5316\u76f8\u5173\u8bba\u6587\u641c\u7d22\u5f15\u64ce \uff08\u9700\u8981\u7ffb\u5899\uff09<\/li>\n
  2. pubvis.github.io<\/a> \u53ef\u89c6\u5316\u8bba\u6587\u53ca\u5176\u5f15\u7528\u5173\u7cfb<\/li>\n
  3. survery of surveys in information visualization<\/a> \u4fe1\u606f\u53ef\u89c6\u5316\u6587\u732e\u7efc\u8ff0\u5927\u5408\u96c6<\/li>\n
  4. survis<\/a> github\u4e0a\u5f00\u6e90\u7684\u6587\u732e\u6536\u96c6\u6574\u7406web\u5de5\u5177\u53ca\u6848\u4f8b\u5408\u96c6<\/li>\n<\/ol>\n

    \u7279\u5b9a\u6570\u636e\u7c7b\u578b\u76f8\u5173\uff08\u6b64\u7c7b\u6781\u5176\u9002\u5408\u5728\u505a\u5177\u4f53\u6848\u4f8b\u65f6\u53c2\u8003\uff09\uff1a<\/strong><\/p>\n

      \n
    1. textVis<\/a> \u6587\u672c\u6570\u636e\u53ef\u89c6\u5316\u6848\u4f8b\u5927\u5408\u96c6<\/li>\n
    2. treeVis<\/a> \u5c42\u6b21\u7ed3\u6784\u6570\u636e\u53ef\u89c6\u5316\u6848\u4f8b\u5927\u5408\u96c6<\/li>\n
    3. timeVis<\/a> \u65f6\u5e8f\u6570\u636e\u53ef\u89c6\u5316\u6848\u4f8b\u5927\u5408\u96c6<\/li>\n
    4. sets and set-typed data visualization<\/a>\u00a0\u96c6\u5408\u7c7b\u578b\u6570\u636e\u53ef\u89c6\u5316\u5927\u5408\u96c6 (\u9700\u8981\u7ffb\u5899\u8bbf\u95ee)<\/li>\n
    5. visualizing high-dimensional data<\/a> \u9ad8\u7ef4\u6570\u636e\u53ef\u89c6\u5316\u6848\u4f8b\u5927\u5408\u96c6<\/li>\n
    6. visualizing group structures in graphs\u00a0– Bibliography<\/a> \u5206\u7ec4\u7ed3\u6784\u53ef\u89c6\u5316\u6848\u4f8b\u5927\u5408\u96c6<\/li>\n
    7. Dynamic Graph Visualization<\/a> \u52a8\u6001\u56fe\u6570\u636e\u53ef\u89c6\u5316\u6848\u4f8b\u5927\u5408\u96c6<\/li>\n
    8. <\/li>\n<\/ol>\n

      \u7279\u5b9a\u53ef\u89c6\u5316\u7c7b\u578b\u76f8\u5173\uff1a<\/strong><\/p>\n

        \n
      1. Visualization for Software Reuse<\/a>\u2014\u652f\u6301\u8f6f\u4ef6\u91cd\u7528\u4efb\u52a1\u7684\u53ef\u89c6\u5316\u6848\u4f8b\u96c6\u00a0 (\u9700\u8981\u7ffb\u5899)<\/li>\n
      2. Space-Time Cube Visualization<\/a> \u65f6\u7a7a\u7acb\u65b9\u53ef\u89c6\u5316\u6848\u4f8b\u96c6 (\u9700\u8981\u7ffb\u5899)<\/li>\n
      3. Visualization & Interactive Surfaces<\/a> \u00a0\u53ef\u89c6\u5316\u548c\u4ea4\u4e92\u754c\u9762\u6848\u4f8b\u96c6 (google\u5728\u7ebf\u6587\u6863\uff0c\u9700\u8981\u7ffb\u5899)<\/li>\n
      4. sparklines<\/a> \u8ff7\u4f60\u56fe\u6848\u4f8b\u96c6<\/li>\n
      5. timelines<\/a> \u65f6\u95f4\u7ebf\u53ef\u89c6\u5316\u6848\u4f8b\u96c6<\/li>\n
      6. cartograms<\/a> \u7edf\u8ba1\u56fe\u5f62\u6848\u4f8b\u5408\u96c6\uff08\u9700\u8981\u7ffb\u5899\uff09<\/li>\n
      7. Matrix Reordering Survey<\/a> \u77e9\u9635\u5148\u5173\u6587\u732e\u7efc\u8ff0<\/li>\n<\/ol>\n

        \u7279\u5b9a\u7814\u7a76\u9886\u57df\u76f8\u5173\uff1a<\/strong><\/p>\n

          \n
        1. sentimentVis<\/a>\u00a0\u60c5\u611f\u5206\u6790\u53ef\u89c6\u5316\u6848\u4f8b\u96c6<\/li>\n
        2. Finance VIs brpwer<\/a> \u7ecf\u6d4e\u6570\u636e\u53ef\u89c6\u5316\u6848\u4f8b\u5927\u5408\u96c6<\/li>\n
        3. Performance Visualization<\/a> \u8ba1\u7b97\u673a\u6027\u80fd\u53ef\u89c6\u5316\u6848\u4f8b\u96c6<\/li>\n
        4. BioVis \u00a0<\/a>\u751f\u7269\u6570\u636e\u53ef\u89c6\u5316\u6848\u4f8b\u96c6<\/li>\n
        5. PaperViz.org<\/a>\u00a0 \u79d1\u5b66\u6587\u732e\u548c\u4e13\u5229\u7684\u53ef\u89c6\u5316\u5206\u6790\u65b9\u6cd5\u6848\u4f8b\u96c6<\/li>\n
        6. predictive visual analytics browser<\/a> \u9884\u6d4b\u53ef\u89c6\u5206\u6790\u6848\u4f8b\u96c6 (\u9700\u8981\u7ffb\u5899)<\/li>\n<\/ol>\n

          \u903c\u683c\uff1a<\/strong><\/p>\n

            \n
          1. visualization milestones<\/a> \u53ef\u89c6\u5316\u9886\u57df\u91cc\u7a0b\u7891\uff0c\u770b\u770b\u91cc\u7a0b\u7891\u7ea7\u522b\u7684\u53ef\u89c6\u5316\u6709\u54ea\u4e9b<\/li>\n
          2. physical visualization<\/a> \u5b9e\u4f53\u53ef\u89c6\u5316\u6848\u4f8b\u96c6\uff08\u76f8\u5bf9\u4e0e\u8ba1\u7b97\u673a\u53ef\u89c6\u5316\u800c\u8a00\uff09<\/li>\n
          3. multivis <\/a>\u79d1\u5b66\u53ef\u89c6\u5316\u6848\u4f8b\u96c6\uff0c\u5176\u4e2d\u5f88\u591a\u662f\u6d41\u573a\uff0c\u533b\u5b66\uff0c\u65f6\u7a7a\u5730\u7406\u53ef\u89c6\u5316\u9886\u57df\u7684\u56fd\u5916\u7814\u7a76\u6240\u6307\u5b9a\u6559\u79d1\u4e66<\/li>\n
          4. visual complexity<\/a> \u504f\u827a\u672f\u5411\u76841000\u4e2a\u4fe1\u606f\u53ef\u89c6\u5316\u6848\u4f8b\u96c6<\/li>\n<\/ol>\n

            \u6570\u636e\u6e90\uff1a<\/strong><\/p>\n

              \n
            1. \u00a0Visualization Publication Data Collection<\/a> \u6570\u636e\u53ef\u89c6\u5316\u6570\u636e\u5408\u96c6\uff08\u9700\u8981\u7ffb\u5899\uff09<\/li>\n<\/ol>\n

               <\/p>\n

              \u6700\u540e\u795d\u5927\u5bb6\u6625\u8282\u5feb\u4e50\uff01<\/p>\n","protected":false},"excerpt":{"rendered":"

              \u6211\u5df2\u7ecf\u96be\u4ee5\u63a9\u9970\u81ea\u5df1\u6fc0\u52a8\u7684\u5fc3\u60c5\u4e86\uff01 \u524d\u6bb5\u65f6<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12],"tags":[110,121,154],"class_list":["post-1843","post","type-post","status-publish","format-standard","hentry","category-data-visualization","tag-110","tag-121","tag-154"],"_links":{"self":[{"href":"https:\/\/www.divis.cn\/index.php\/wp-json\/wp\/v2\/posts\/1843","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.divis.cn\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.divis.cn\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.divis.cn\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.divis.cn\/index.php\/wp-json\/wp\/v2\/comments?post=1843"}],"version-history":[{"count":0,"href":"https:\/\/www.divis.cn\/index.php\/wp-json\/wp\/v2\/posts\/1843\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.divis.cn\/index.php\/wp-json\/wp\/v2\/media?parent=1843"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.divis.cn\/index.php\/wp-json\/wp\/v2\/categories?post=1843"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.divis.cn\/index.php\/wp-json\/wp\/v2\/tags?post=1843"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}