{"id":86,"date":"2017-08-14T04:37:44","date_gmt":"2017-08-14T04:37:44","guid":{"rendered":"http:\/\/216.24.255.190\/teamsite\/?page_id=86"},"modified":"2020-10-27T05:54:49","modified_gmt":"2020-10-27T05:54:49","slug":"qiupeiyuan","status":"publish","type":"page","link":"http:\/\/pervasivegis.group\/teamsite\/members\/qiupeiyuan\/","title":{"rendered":"\u4ec7\u57f9\u5143"},"content":{"rendered":"<p><a><img loading=\"lazy\" class=\"size-full wp-image-56 aligncenter\" src=\"http:\/\/pervasivegis.group\/teamsite\/wp-content\/uploads\/2020\/08\/qiupeiyuan.jpg\" alt=\"\" width=\"165\" height=\"210\"><\/a><\/p>\n<p style=\"font-size: 80%; text-align: center;\">\u25a0&nbsp; &nbsp;\u7535\u5b50\u90ae\u7bb1\uff1aqiupeiyuan20@sdjzu.edu.cn; qiupy@lreis.ac.cn<br \/>\n\u25a0&nbsp; &nbsp;\u5916\u90e8\u94fe\u63a5\uff1a<a href=\"https:\/\/scholar.google.com.hk\/citations?user=Hf3AJeoAAAAJ\">Google Scholar<\/a><\/p>\n<p style=\"text-indent: 2em;\">\u4ec7\u57f9\u5143\uff0c\u7537\uff0c1986\u5e74\u751f\uff0c\u5c71\u4e1c\u9752\u5c9b\u4eba\uff0c\u535a\u58eb\uff0c\u5c71\u4e1c\u5efa\u7b51\u5927\u5b66\u6d4b\u7ed8\u5730\u7406\u4fe1\u606f\u5b66\u9662\u8bb2\u5e08\u3002<\/p>\n<hr>\n<h3 style=\"color: #0c6eb6;\">\u7814\u7a76\u5174\u8da3<\/h3>\n<ul>\n<li>\u5730\u7406\u77e5\u8bc6\u56fe\u8c31\u3001\u7f51\u7edc\u6587\u672c\u8574\u542b\u5730\u7406\u4fe1\u606f\u63d0\u53d6\u3001\u65f6\u7a7a\u6570\u636e\u6316\u6398<\/li>\n<\/ul>\n<hr>\n<h3 style=\"color: #0c6eb6;\">\u5de5\u4f5c\u7ecf\u5386<\/h3>\n<ul>\n<li>2020\u5e743\u6708-\u81f3\u4eca\uff0c\u5c71\u4e1c\u5efa\u7b51\u5927\u5b66\u6d4b\u7ed8\u5730\u7406\u4fe1\u606f\u5b66\u9662\uff0c\u8bb2\u5e08<\/li>\n<li>2016\u5e7410\u6708-2020\u5e743\u6708\uff0c\u4e2d\u56fd\u79d1\u5b66\u9662\u5730\u7406\u79d1\u5b66\u4e0e\u8d44\u6e90\u7814\u7a76\u6240\uff0c\u535a\u58eb\u540e\uff0c\u5408\u4f5c\u5bfc\u5e08\uff1a\u738b\u7ecd\u5f3a\u3001\u9646\u950b<\/li>\n<\/ul>\n<hr>\n<h3 style=\"color: #0c6eb6;\">\u5b66\u4e60\u7ecf\u5386<\/h3>\n<ul>\n<li>2012\u5e749\u6708-2016\u5e746\u6708\uff0c\u4e2d\u56fd\u79d1\u5b66\u9662\u5927\u5b66\uff0c\u5730\u56fe\u5b66\u4e0e\u5730\u7406\u4fe1\u606f\u7cfb\u7edf\uff0c\u7406\u5b66\u535a\u58eb\uff0c\u5bfc\u5e08\uff1a\u9646\u950b<\/li>\n<li>2009\u5e749\u6708-2012\u5e743\u6708\uff0c\u5317\u4eac\u5efa\u7b51\u5de5\u7a0b\u5b66\u9662\uff0c\u5730\u56fe\u5236\u56fe\u5b66\u4e0e\u5730\u7406\u4fe1\u606f\u5de5\u7a0b\uff0c\u5de5\u5b66\u7855\u58eb\uff0c\u5bfc\u5e08\uff1a\u5f20\u5065\u94a6<\/li>\n<li>2005\u5e749\u6708-2009\u5e746\u6708\uff0c\u9752\u5c9b\u5927\u5b66\uff0c\u5730\u7406\u79d1\u5b66\uff0c\u7406\u5b66\u5b66\u58eb<\/li>\n<\/ul>\n<hr>\n<h3 style=\"color: #0c6eb6;\">\u53d1\u8868\u8bba\u8457<\/h3>\n<ol>\n<li>\u9ad8\u5609\u826f, \u4ec7\u57f9\u5143, \u4f59\u4e3d, \u9ec4\u5b97\u8d22, \u9646\u950b*. 2020. \u57fa\u4e8e\u65c5\u6e38\u77e5\u8bc6\u56fe\u8c31\u7684\u53ef\u89e3\u91ca\u666f\u70b9\u63a8\u8350. <em>\u4e2d\u56fd\u79d1\u5b66: \u4fe1\u606f\u79d1\u5b66<\/em>, 50(7): 1055-1068. doi: <a href=\"http:\/\/engine.scichina.com\/publisher\/scp\/journal\/SSI\/doi\/10.1360\/SSI-2019-0268\">10.1360\/SSI-2019-0268<\/a><\/li>\n<li>Kang Liu, Peiyuan Qiu, Song Gao, Feng Lu, Jincheng Jiang*, Ling Yin*. 2020. Investigating urban metro stations as cognitive places in cities using points of interest. <em>Cities<\/em>,  97: 102561. doi: <a href=\"https:\/\/doi.org\/10.1016\/j.cities.2019.102561\">10.1016\/j.cities.2019.102561<\/a><\/li>\n<li>Peiyuan Qiu, Jialiang Gao, Li Yu, Feng Lu*. 2019. Knowledge embedding with geospatial distance restriction for geographic knowledge graph completion. <em>ISPRS International Journal of Geo-Information<\/em>,  8(6): 254. doi: <a href=\"https:\/\/doi.org\/10.3390\/ijgi8060254\">10.3390\/ijgi8060254<\/a><\/li>\n<li>Peiyuan Qiu, Li Yu, Jialiang Gao, Feng Lu*. 2019. Detecting geo-relation phrases from web texts for triplet extraction of geographic knowledge: a context-enhanced method. <em>Big Earth Data<\/em>,  3(3): 297-314. doi: <a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1657719\">10.1080\/20964471.2019.1657719<\/a><\/li>\n<li>Li Yu, Peiyuan Qiu, Jialiang Gao, Feng Lu*. 2019. A knowledge-based filtering method for open relations among geo-entities. <em>ISPRS International Journal of Geo-Information<\/em>,  8(2): 59. doi: <a href=\"https:\/\/doi.org\/10.3390\/ijgi8020059\">10.3390\/ijgi8020059<\/a><\/li>\n<li>\u9ad8\u5609\u826f, \u4f59\u4e3d*, \u4ec7\u57f9\u5143, \u9646\u950b. 2019. \u57fa\u4e8e\u901a\u7528\u77e5\u8bc6\u5e93\u7684\u5730\u7406\u5b9e\u4f53\u5f00\u653e\u5173\u7cfb\u8fc7\u6ee4\u65b9\u6cd5. <em>\u5730\u7403\u4fe1\u606f\u79d1\u5b66\u5b66\u62a5<\/em>,  21(9): 1392-1401. doi: <a href=\"http:\/\/www.dqxxkx.cn\/CN\/10.12082\/dqxxkx.2019.190005\">10.12082\/dqxxkx.2019.190005<\/a><\/li>\n<li>Li Yu, Peiyuan Qiu, Xiliang Liu, Feng Lu*, Bo Wan. 2018. A holistic approach to aligning geospatial data with multidimensional similarity measuring. <em>International Journal of Digital Earth<\/em>,  11(8): 845-862. doi: <a href=\"https:\/\/doi.org\/10.1080\/17538947.2017.1359688\">10.1080\/17538947.2017.1359688<\/a><\/li>\n<li>\u9ec4\u5b97\u8d22, \u4ec7\u57f9\u5143, \u9646\u950b, \u5434\u5347*. 2019. \u57fa\u4e8e\u8054\u5408\u4e3b\u9898\u7279\u5f81\u7684\u7f51\u7edc\u65b0\u95fb\u6587\u672c\u8574\u542b\u73af\u5883\u6c61\u67d3\u4e8b\u4ef6\u68c0\u6d4b. <em>\u5730\u7403\u4fe1\u606f\u79d1\u5b66\u5b66\u62a5<\/em>,  21(10): 1510-1517. doi: <a href=\"http:\/\/www.dqxxkx.cn\/CN\/10.12082\/dqxxkx.2019.190037\">10.12082\/dqxxkx.2019.190037<\/a><\/li>\n<li>\u9ec4\u5b97\u8d22, \u4ec7\u57f9\u5143, \u738b\u6d77\u6ce2, \u5434\u5347*. 2019. \u7ed3\u5408\u4e8b\u4ef6\u548c\u8bed\u5883\u7279\u5f81\u7684\u53f0\u98ce\u4e8b\u4ef6\u4fe1\u606f\u62bd\u53d6\u65b9\u6cd5. <em>\u6d4b\u7ed8\u79d1\u5b66\u6280\u672f\u5b66\u62a5<\/em>,  36(2): 209-214. doi: <a href=\"https:\/\/doi.org\/10.3969\/j.issn.1673-6338.2019.02.018\">10.3969\/j.issn.1673-6338.2019.02.018<\/a><\/li>\n<li>\u674e\u660e\u6653, \u5f20\u6052\u624d*, \u4ec7\u57f9\u5143, \u7a0b\u8bd7\u594b, \u9648\u6d01, \u9646\u950b. 2018. \u4e00\u79cd\u57fa\u4e8e\u6a21\u7cca\u957f\u77ed\u671f\u795e\u7ecf\u7f51\u7edc\u7684\u79fb\u52a8\u5bf9\u8c61\u8f68\u8ff9\u9884\u6d4b\u7b97\u6cd5. <em>\u6d4b\u7ed8\u5b66\u62a5<\/em>,  47(12): 1660-1669. doi: <a href=\"http:\/\/xb.sinomaps.com\/CN\/10.11947\/j.AGCS.2018.20170268\">10.11947\/j.AGCS.2018.20170268<\/a><\/li>\n<li>\u4ec7\u57f9\u5143, \u5f20\u6052\u624d, \u4f59\u4e3d, \u9646\u950b. 2017. \u5fae\u535a\u5ba2\u8574\u542b\u4ea4\u901a\u4e8b\u4ef6\u4fe1\u606f\u62bd\u53d6\u7684\u81ea\u52a8\u6807\u6ce8\u65b9\u6cd5. <em>\u4e2d\u6587\u4fe1\u606f\u5b66\u62a5<\/em>,  31(2): 107-116. [<a href=\"http:\/\/jcip.cipsc.org.cn\/CN\/Y2017\/V31\/I2\/107\">link<\/a>]<\/li>\n<li>\u5218\u5eb7, \u4ec7\u57f9\u5143, \u5218\u5e0c\u4eae, \u5f20\u6052\u624d, \u738b\u5c11\u534e, \u9646\u950b*. 2017. \u5229\u7528\u8bcd\u5411\u91cf\u6a21\u578b\u5206\u6790\u57ce\u5e02\u9053\u8def\u4ea4\u901a\u7a7a\u95f4\u76f8\u5173\u6027. <em>\u6d4b\u7ed8\u5b66\u62a5<\/em>,  46(12): 2032-2040. doi: <a href=\"http:\/\/xb.sinomaps.com\/CN\/10.11947\/j.AGCS.2017.20170166\">10.11947\/j.AGCS.2017.20170166<\/a><\/li>\n<li>Kang Liu, Song Gao, Peiyuan Qiu, Xiliang Liu, Bo Yan, Feng Lu*. 2017. Road2Vec: Measuring traffic interactions in urban road system from massive travel routes. <em>ISPRS International Journal of Geo-Information<\/em>,  6(11): 321. doi: <a href=\"https:\/\/doi.org\/10.3390\/ijgi6110321\">10.3390\/ijgi6110321<\/a><\/li>\n<li>\u9646\u950b, \u4f59\u4e3d, \u4ec7\u57f9\u5143. 2017. \u8bba\u5730\u7406\u77e5\u8bc6\u56fe\u8c31. <em>\u5730\u7403\u4fe1\u606f\u79d1\u5b66\u5b66\u62a5<\/em>,  19(6): 723-734. doi: <a href=\"http:\/\/www.dqxxkx.cn\/CN\/10.3724\/SP.J.1047.2017.00723\">10.3724\/SP.J.1047.2017.00723<\/a><\/li>\n<li>\u674e\u660e\u6653, \u9648\u6d01*, \u5f20\u6052\u624d, \u4ec7\u57f9\u5143, \u5218\u5eb7, \u9646\u950b. 2017. \u4e0a\u6d77\u5e02\u7cbe\u7ec6\u65f6\u7a7a\u5c3a\u5ea6\u4eba\u53e3\u5206\u5e03\u4f30\u8ba1\u4e0e\u7279\u5f81\u5206\u6790. <em>\u5730\u7403\u4fe1\u606f\u79d1\u5b66\u5b66\u62a5<\/em>,  19(6): 800-807. doi: <a href=\"http:\/\/www.dqxxkx.cn\/CN\/10.3724\/SP.J.1047.2017.00800\">10.3724\/SP.J.1047.2017.00800<\/a><\/li>\n<li>\u4ec7\u57f9\u5143, \u9646\u950b, \u5f20\u6052\u624d*, \u4f59\u4e3d. 2016. \u8574\u542b\u5730\u7406\u4e8b\u4ef6\u5fae\u535a\u5ba2\u6d88\u606f\u7684\u81ea\u52a8\u8bc6\u522b\u65b9\u6cd5. <em>\u5730\u7403\u4fe1\u606f\u79d1\u5b66\u5b66\u62a5<\/em>,  18(7): 886-893. doi: <a href=\"http:\/\/www.dqxxkx.cn\/CN\/10.3724\/SP.J.1047.2016.00886\">10.3724\/SP.J.1047.2016.00886<\/a><\/li>\n<li>Kang Liu, Peiyuan Qiu, Mingxiao Li, Xiliang Liu*, Feng Lu. 2016. Exploring urban travel routes\u2019 characteristics from a geometric perspective. In <em>Proceedings of the 24th International Conference on Geoinformatics (Geoinformatics 2016)<\/em>,  Galway, Ireland: 1-6. doi: <a href=\"https:\/\/doi.org\/10.1109\/GEOINFORMATICS.2016.7578981\">10.1109\/GEOINFORMATICS.2016.7578981<\/a><\/li>\n<li>\u4ec7\u57f9\u5143, \u5f20\u6052\u624d*, \u9646\u950b. 2015. \u4e92\u8054\u7f51\u6587\u672c\u8574\u542b\u9053\u8def\u4ea4\u901a\u4fe1\u606f\u62bd\u53d6\u7684\u6a21\u5f0f\u5339\u914d\u65b9\u6cd5. <em>\u5730\u7403\u4fe1\u606f\u79d1\u5b66\u5b66\u62a5<\/em>,  17(4): 416-422. doi: <a href=\"http:\/\/www.dqxxkx.cn\/CN\/10.3724\/SP.J.1047.2015.00416\">10.3724\/SP.J.1047.2015.00416<\/a><\/li>\n<li>Jianqin Zhang*, Peiyuan Qiu, Yingchao Duan, Mingyi Du, Feng Lu. 2015. 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[<a href=\"http:\/\/www.cnki.com.cn\/Article\/CJFDTotal-YSXT201406012.htm\">link<\/a>]<\/li>\n<li>\u5f20\u5065\u94a6, \u4ec7\u57f9\u5143, \u5f90\u5fd7\u6d01, \u675c\u660e\u4e49. 2013. \u4e00\u79cd\u57fa\u4e8e\u624b\u673a\u5b9a\u4f4d\u6570\u636e\u7684\u51fa\u884c\u884c\u7a0b\u8bc6\u522b\u65b9\u6cd5. <em>\u6b66\u6c49\u7406\u5de5\u5927\u5b66\u5b66\u62a5(\u4ea4\u901a\u79d1\u5b66\u4e0e\u5de5\u7a0b\u7248)<\/em>, 37(05): 934\u2013938. doi: <a href=\"https:\/\/doi.org\/10.3963\/j.issn.2095-3844.2013.05.009\">10.3963\/j.issn.2095-3844.2013.05.009<\/a><\/li>\n<li>Peiyuan Qiu, Feng Lu, Hengcai Zhang*. 2013. Extracting traffic information from web texts with a D-S evidence theory based approach. In <em>Proceedings of the 21st International Conference on Geoinformatics (Geoinformatics 2013)<\/em>,  Kaifeng, Henan, China: 1-5. doi: <a href=\"https:\/\/doi.org\/10.1109\/Geoinformatics.2013.6626207\">10.1109\/Geoinformatics.2013.6626207<\/a><\/li>\n<li>Xiliang Liu, Feng Lu, Hengcai Zhang*, Peiyuan Qiu. 2013. Intersection delay estimation from floating car data via principal curves: a case study on Beijing\u2019s road network. <em>Frontiers of Earth Science<\/em>,  7(2): 206-216. doi: <a href=\"https:\/\/doi.org\/10.1007\/s11707-012-0350-y\">10.1007\/s11707-012-0350-y<\/a><\/li>\n<\/ol>\n<hr>\n<h3 style=\"color: #0c6eb6;\">\u79d1\u7814\u9879\u76ee<\/h3>\n<ol>\n<li>\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u9752\u5e74\u57fa\u91d1\u9879\u76ee\uff0c\u77e5\u8bc6\u56fe\u8c31\u8574\u542b\u5730\u7406\u5173\u7cfb\u4e09\u5143\u7ec4\u4f18\u5316\uff0c2021.01-2023.12\uff0c\u5728\u7814\uff0c\u4e3b\u6301.<\/li>\n<li>\u4e2d\u56fd\u79d1\u5b66\u9662A\u7c7b\u5148\u5bfc\u4e13\u9879\u8bfe\u9898\uff0c\u751f\u6001\u6587\u660e\u5efa\u8bbe\u5730\u7406\u56fe\u666f\u7a7a\u95f4\u51b3\u7b56\u7cfb\u7edf\u7701\u7ea7\u5e94\u7528\u793a\u8303\uff0c2019.01-2023.12\uff0c\u5728\u7814\uff0c\u53c2\u4e0e.<\/li>\n<li>\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u9762\u4e0a\u9879\u76ee\uff0c\u5ba4\u5185\u591a\u6e90\u5f02\u6784\u65f6\u7a7a\u6570\u636e\u4e00\u4f53\u5316\u5efa\u6a21\u4e0e\u8054\u5408\u67e5\u8be2\uff0c2018.01-2021.12\uff0c\u5728\u7814\uff0c\u53c2\u4e0e.<\/li>\n<li>\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u91cd\u70b9\u9879\u76ee\uff0c\u7f51\u7edc\u6587\u672c\u8574\u542b\u5730\u7406\u4fe1\u606f\u7406\u89e3\u4e0e\u77e5\u8bc6\u56fe\u6784\u5efa\uff0c2017.01-2021.12\uff0c\u5728\u7814\uff0c\u53c2\u4e0e.<\/li>\n<li>\u56fd\u5bb6\u91cd\u70b9\u7814\u53d1\u8ba1\u5212\u8bfe\u9898\uff0c\u5ba4\u5185\u9ad8\u7cbe\u5ea6\u6d4b\u56fe\u4e0e\u5b9e\u65f6 GIS \u6280\u672f\uff0c2016.01-2020.12\uff0c\u5728\u7814\uff0c\u53c2\u4e0e.<\/li>\n<li>\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u9762\u4e0a\u9879\u76ee\uff0c\u57ce\u5e02\u4eba\u7fa4\u79fb\u52a8\u805a\u96c6\u4e0e\u7ed3\u6784\u52a8\u6001\u6a21\u5f0f\u5206\u6790\u65b9\u6cd5\uff0c2016.01-2019.12\uff0c\u5df2\u7ed3\u9898\uff0c\u53c2\u4e0e.<\/li>\n<li>\u4e2d\u56fd\u79d1\u5b66\u9662\u91cd\u70b9\u90e8\u7f72\u9879\u76ee\u8bfe\u9898\uff0c\u5317\u6781\u822a\u9053\u6f14\u53d8\u5bf9\u5730\u7f18\u73af\u5883\u5f71\u54cd\u5206\u6790\uff0c2016.01-2018.12\uff0c\u5df2\u7ed3\u9898\uff0c\u53c2\u4e0e.<\/li>\n<li>\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u9752\u5e74\u57fa\u91d1\u9879\u76ee\uff0c\u79fb\u52a8\u5bf9\u8c61\u591a\u7ef4\u7d22\u5f15\u4e0e\u8054\u5408\u67e5\u8be2\u65b9\u6cd5\uff0c2015.01-2017.12\uff0c\u5df2\u7ed3\u9898\uff0c\u53c2\u4e0e.<\/li>\n<li>\u56fd\u5bb6\u9ad8\u79d1\u6280\u7814\u7a76\u53d1\u5c55\u8ba1\u5212\uff08863\uff09\u91cd\u5927\u9879\u76ee\u8bfe\u9898\uff0c\u57fa\u4e8e\u4f4d\u7f6e\u6807\u8bc6\u7684\u793e\u4f1a\u7f51\u7edc\u6784\u5efa\u4e0e\u5728\u7ebf\u4fe1\u606f\u670d\u52a1\u6280\u672f\uff0c2013.01-2015.12\uff0c\u5df2\u7ed3\u9898\uff0c\u53c2\u4e0e.<\/li>\n<li>\u56fd\u5bb6\u9ad8\u79d1\u6280\u7814\u7a76\u53d1\u5c55\u8ba1\u5212\uff08863\uff09\u91cd\u5927\u9879\u76ee\u8bfe\u9898\uff0c\u4f4d\u7f6e\u4fe1\u606f\u641c\u7d22\u4e0e\u667a\u80fd\u670d\u52a1\u6280\u672f\uff0c\u5df2\u7ed3\u9898\uff0c\u53c2\u4e0e.<\/li>\n<\/ol>\n<hr>\n<h3 style=\"color: #0c6eb6;\">\u7533\u8bf7\u4e13\u5229<\/h3>\n<ol>\n<li>\u9646\u950b, \u5f20\u6052\u624d, \u4ec7\u57f9\u5143, \u5f6d\u6f8e, \u4f59\u4e3d.&nbsp; \u4e00\u79cd\u7f51\u7edc\u6587\u672c\u4e2d\u4ea4\u901a\u4e8b\u4ef6\u8bed\u4e49\u89d2\u8272\u62bd\u53d6\u65b9\u6cd5. CN201610381179.9. 2016-6-1.<\/li>\n<li>\u9646\u950b, \u4ec7\u57f9\u5143, \u5f20\u6052\u624d.&nbsp; \u4e00\u79cd\u4ece\u4e92\u8054\u7f51\u975e\u7ed3\u6784\u5316\u6587\u672c\u63d0\u53d6\u9053\u8def\u4ea4\u901a\u4fe1\u606f\u65b9\u6cd5. CN201410115332. 2014-3-25.<\/li>\n<li>\u5f20\u5065\u94a6, \u4ec7\u57f9\u5143, \u738b\u664f\u6c11, \u5f90\u5fd7\u6d01.&nbsp; \u4e00\u79cd\u57fa\u4e8e\u51fa\u884c\u8f68\u8ff9\u6570\u636e\u7684\u884c\u7a0b\u8bc6\u522b\u65b9\u6cd5. CN201210056545. 2012-3-6.<\/li>\n<li>\u5f20\u5065\u94a6, \u4ec7\u57f9\u5143, \u5f90\u5fd7\u6d01, \u5434\u6d77\u71d5. \u4e00\u79cd\u57fa\u4e8e\u884c\u7a0b\u8bc6\u522b\u7684\u51fa\u884c\u8005\u6d3b\u52a8\u89c4\u5f8b\u5206\u6790\u65b9\u6cd5. CN201210056544. 2012-3-6.<\/li>\n<\/ol>\n<hr>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u25a0&nbsp; &nbsp;\u7535\u5b50\u90ae\u7bb1\uff1aqiupeiyuan20@sdjzu.edu.cn; qiupy@lre <a href=\"http:\/\/pervasivegis.group\/teamsite\/members\/qiupeiyuan\/\" rel=\"nofollow\"><span class=\"sr-only\">Read more about \u4ec7\u57f9\u5143<\/span>[&hellip;]<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":857,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"http:\/\/pervasivegis.group\/teamsite\/wp-json\/wp\/v2\/pages\/86"}],"collection":[{"href":"http:\/\/pervasivegis.group\/teamsite\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/pervasivegis.group\/teamsite\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/pervasivegis.group\/teamsite\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/pervasivegis.group\/teamsite\/wp-json\/wp\/v2\/comments?post=86"}],"version-history":[{"count":87,"href":"http:\/\/pervasivegis.group\/teamsite\/wp-json\/wp\/v2\/pages\/86\/revisions"}],"predecessor-version":[{"id":1502,"href":"http:\/\/pervasivegis.group\/teamsite\/wp-json\/wp\/v2\/pages\/86\/revisions\/1502"}],"up":[{"embeddable":true,"href":"http:\/\/pervasivegis.group\/teamsite\/wp-json\/wp\/v2\/pages\/857"}],"wp:attachment":[{"href":"http:\/\/pervasivegis.group\/teamsite\/wp-json\/wp\/v2\/media?parent=86"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}