{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T14:06:40Z","timestamp":1781100400124,"version":"3.54.1"},"reference-count":49,"publisher":"Informa UK Limited","issue":"3","license":[{"start":{"date-parts":[[2024,7,17]],"date-time":"2024-07-17T00:00:00Z","timestamp":1721174400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["72074175"],"award-info":[{"award-number":["72074175"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Fundamental Research Funds for the Central Universities in China","award":["CCNU24JC039"],"award-info":[{"award-number":["CCNU24JC039"]}]}],"content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["Geo-spatial Information Science"],"published-print":{"date-parts":[[2025,5,4]]},"DOI":"10.1080\/10095020.2024.2377212","type":"journal-article","created":{"date-parts":[[2024,7,17]],"date-time":"2024-07-17T07:04:16Z","timestamp":1721199856000},"page":"1298-1315","update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":7,"title":["Image-based machine learning and cluster analysis for urban road network: employing Orange for codeless visual programming"],"prefix":"10.1080","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8892-5870","authenticated-orcid":false,"given":"Zuo","family":"Zhang","sequence":"first","affiliation":[{"name":"Central China Normal University","place":["Wuhan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-3155-7751","authenticated-orcid":false,"given":"Mengwei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Central China Normal University","place":["Wuhan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-7826-6806","authenticated-orcid":false,"given":"Xiangxiang","family":"Song","sequence":"additional","affiliation":[{"name":"Central China Normal University","place":["Wuhan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2406-2516","authenticated-orcid":false,"given":"Zhi","family":"Li","sequence":"additional","affiliation":[{"name":"Xi\u2019an University of Architecture and Technology","place":["Xi\u2019an, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"301","published-online":{"date-parts":[[2024,7,17]]},"reference":[{"key":"e_1_3_3_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jum.2020.06.003"},{"key":"e_1_3_3_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11069-017-3112-z"},{"key":"e_1_3_3_4_1","doi-asserted-by":"publisher","DOI":"10.3390\/urbansci6010011"},{"key":"e_1_3_3_5_1","doi-asserted-by":"publisher","DOI":"10.1057\/s41289-018-0072-1"},{"key":"e_1_3_3_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s41109-019-0189-1"},{"key":"e_1_3_3_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compenvurbsys.2022.101760"},{"key":"e_1_3_3_8_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2002923118"},{"key":"e_1_3_3_9_1","doi-asserted-by":"publisher","DOI":"10.3390\/s22134942"},{"key":"e_1_3_3_10_1","doi-asserted-by":"publisher","DOI":"10.1080\/10095020.2023.2264342"},{"key":"e_1_3_3_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.05.007"},{"key":"e_1_3_3_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cities.2018.02.013"},{"key":"e_1_3_3_13_1","first-page":"2349","article-title":"Orange: Data Mining Toolbox in Python","volume":"14","author":"Demsar J.","year":"2013","unstructured":"Demsar, J., T. Curk, A. Erjavec, C. Gorup, T. Hocevar, M. Milutinovic, M. Mozina. 2013. \u201cOrange: Data Mining Toolbox in Python.\u201d Journal of Machine Learning Research 14:2349\u20132353.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_3_14_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-019-12397-x"},{"key":"e_1_3_3_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compenvurbsys.2021.101748"},{"issue":"7","key":"e_1_3_3_16_1","first-page":"1201","article-title":"Learning Document Image Features with Squeezenet Convolutional Neural Network","volume":"33","author":"Hassanpour M.","year":"2020","unstructured":"Hassanpour, M., and H. Malek. 2020. \u201cLearning Document Image Features with Squeezenet Convolutional Neural Network.\u201d International Journal of Engineering 33 (7): 1201\u20131207.","journal-title":"International Journal of Engineering"},{"key":"e_1_3_3_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/mitp.2021.3123415"},{"key":"e_1_3_3_18_1","article-title":"SqueezeNet: AlexNet-Level Accuracy with 50x Fewer Parameters and <0.5MB Model Size","author":"Iandola F. N.","year":"2022","unstructured":"Iandola, F. N., S. Han, M. W. Moskewicz, K. Ashraf, W. J. Dally, and K. Keutzer. 2022. \u201cSqueezeNet: AlexNet-Level Accuracy with 50x Fewer Parameters and <0.5MB Model Size.\u201d arXiv. ht tps:\/\/d oi.org\/arXiv:1602.07360.","journal-title":"arXiv"},{"key":"e_1_3_3_19_1","doi-asserted-by":"publisher","DOI":"10.3390\/en13061476"},{"key":"e_1_3_3_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compenvurbsys.2018.04.002"},{"key":"e_1_3_3_21_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-015-3095-2"},{"key":"e_1_3_3_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compenvurbsys.2022.101845"},{"key":"e_1_3_3_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.landurbplan.2016.03.007"},{"key":"e_1_3_3_24_1","doi-asserted-by":"publisher","DOI":"10.1098\/rsif.2014.0924"},{"key":"e_1_3_3_25_1","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.aau9413"},{"key":"e_1_3_3_26_1","first-page":"30","article-title":"A Unified Approach to Interpreting Model Predictions","author":"Lundberg S. M.","year":"2017","unstructured":"Lundberg, S. M., and S. Lee. 2017. \u201cA Unified Approach to Interpreting Model Predictions.\u201d Advances in Neural Information Processing Systems 30.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_3_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cities.2021.103298"},{"key":"e_1_3_3_28_1","doi-asserted-by":"publisher","DOI":"10.9790\/3021-0204719725"},{"issue":"9","key":"e_1_3_3_29_1","first-page":"8","article-title":"Application of Orange Data Mining Approach of Agriculture Productivity Index Performance in Tamilnadu","volume":"7","author":"Manimannan G.","year":"2019","unstructured":"Manimannan, G., P. R. Lakshmi, and K. C. Arul. 2019. \u201cApplication of Orange Data Mining Approach of Agriculture Productivity Index Performance in Tamilnadu.\u201d International Journal of Scientific and Innovative Mathematical Research 7 (9): 8\u201316.","journal-title":"International Journal of Scientific and Innovative Mathematical Research"},{"key":"e_1_3_3_30_1","doi-asserted-by":"publisher","DOI":"10.3390\/rs12172817"},{"key":"e_1_3_3_31_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tra.2020.02.015"},{"key":"e_1_3_3_32_1","doi-asserted-by":"publisher","DOI":"10.1016\/s0001-2998(78)80014-2"},{"key":"e_1_3_3_33_1","doi-asserted-by":"publisher","DOI":"10.1111\/gean.12061"},{"key":"e_1_3_3_34_1","volume-title":"Interpretable Machine Learning","author":"Molnar C.","year":"2020","unstructured":"Molnar, C. 2020. Interpretable Machine Learning. Lulu. com."},{"key":"e_1_3_3_35_1","doi-asserted-by":"publisher","DOI":"10.1177\/0361198120925804"},{"key":"e_1_3_3_36_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2020.102677"},{"key":"e_1_3_3_37_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11205-019-02156-2"},{"key":"e_1_3_3_38_1","doi-asserted-by":"publisher","DOI":"10.1068\/b38216"},{"key":"e_1_3_3_39_1","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.abb4112"},{"key":"e_1_3_3_40_1","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-022-00462-y"},{"key":"e_1_3_3_41_1","doi-asserted-by":"publisher","DOI":"10.1186\/s40561-022-00192-z"},{"key":"e_1_3_3_42_1","doi-asserted-by":"publisher","DOI":"10.1080\/10095020.2023.2264337"},{"key":"e_1_3_3_43_1","doi-asserted-by":"publisher","DOI":"10.3390\/su11143826"},{"key":"e_1_3_3_44_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10668-021-01832-z"},{"key":"e_1_3_3_45_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compenvurbsys.2022.101789"},{"key":"e_1_3_3_46_1","doi-asserted-by":"publisher","DOI":"10.3390\/land6020030"},{"key":"e_1_3_3_47_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jocs.2020.101221"},{"key":"e_1_3_3_48_1","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/6703703"},{"key":"e_1_3_3_49_1","doi-asserted-by":"publisher","DOI":"10.1080\/10095020.2023.2202201"},{"key":"e_1_3_3_50_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ssci.2022.105722"}],"container-title":["Geo-spatial Information Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/10095020.2024.2377212","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,8]],"date-time":"2025-08-08T15:45:36Z","timestamp":1754667936000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/10095020.2024.2377212"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,17]]},"references-count":49,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2025,5,4]]}},"alternative-id":["10.1080\/10095020.2024.2377212"],"URL":"https:\/\/doi.org\/10.1080\/10095020.2024.2377212","relation":{},"ISSN":["1009-5020","1993-5153"],"issn-type":[{"value":"1009-5020","type":"print"},{"value":"1993-5153","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7,17]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=tgsi20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=tgsi20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2023-11-27","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-07-02","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-07-17","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}